Impact case study database
Search and filter
Filter by
- University College London
- 10 - Mathematical Sciences
- Submitting institution
- University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Summary impact type
- Health
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Hypertrophic cardiomyopathy (HCM) is an inherited heart muscle disorder and a leading cause of sudden cardiac death (SCD) in young adults affecting 1 in 500 adults in the general population. Professors Omar and Elliott from UCL developed the first risk model to predict SCD risk for HCM patients. This algorithm was incorporated into the European Society of Cardiology (ESC) guidelines and is currently used by cardiologists in at least 25 countries to risk stratify HCM patients during their clinical assessment and decide on the best treatment option for individual patients. The HCM SCD-risk model has good predictive ability and is a major landmark in the management of cardiomyopathy providing an improved treatment decision-making tool.
2. Underpinning research
As part of Professor Rumana Omar’s (Head of Biostatistics Group, UCL Department of Statistical Science) research programme on risk prediction models, she developed and validated the first risk prediction model to predict SCD risk for HCM patients, in collaboration with Professor Elliott ( UCL Institute of Cardiovascular Science) (R1). HCM patients who are at high risk of SCD need to be identified so they can be offered lifesaving treatment with an implantable cardioverter defibrillator (ICD). Previous clinical guidelines (2003 American College of Cardiology/ European Society of Cardiology (ESC) and 2011 American College of Cardiology Foundation/AHA clinical guidelines) used for assessing the risk of SCD in HCM patients were based on a simple summation of five clinical patient characteristics. This simplistic approach that had not been statistically justified, provided low predictive accuracy (positive predictive value of 10.5 to 23.3%), resulting in unnecessary and potentially harmful prophylactic ICD implantation in a substantial number of patients who are at intrinsically low risk of SCD. Therefore, it was essential to use statistical models to develop a risk tool to provide more accurate and individualised risk estimates for SCD that would enable more objective and targeted ICD therapy in HCM patients.
Omar and Elliott (Professor of Cardiovascular Medicine, UCL) had joint leadership roles in this research and supervised a clinical research fellow (O’Mahony) for acquiring and interpreting data and two statistical research fellows (Jichi, and Pavlou, from the Biostatistics Group led by Omar) for the statistical modelling and validation work. In the first phase of the research (2010-2013), Omar designed a cohort study with adequate sample size to develop the risk model and established an international cohort of HCM patients through the HCM-RISK Consortium collaboration, which includes clinicians and health researchers from Europe, North America, Israel and the Far East. The cohort consisted of 3,675 HCM patients from six European centres: (i) The Heart Hospital, London, UK, (ii) A Coruña University Hospital, Spain, (iii) Unit of Inherited Cardiovascular diseases, University of Athens, Greece, (iv) Institute of Cardiology, University of Bologna, Italy, (v) University Hospital Virgen, Spain, and (vi) Monaldi Hospital, Second University of Naples, Italy.
Typically, risk models used in clinical practice are developed using only complete data and without appropriately addressing important statistical issues, such as the degree of censoring in survival data, sample size and model over-fitting. Omar (with Rahman, PhD student and Ambler, Associate Professor, UCL Statistical Science) conducted parallel research to evaluate model performance measures and penalised regression methods for prediction of survival outcomes using simulation studies to address these problems for the HCM data. Omar’s research on performance measures ( R2) showed that the routinely used Harrell’s C index to assess discrimination in risk prediction studies with survival outcomes was affected by the degree of censoring present in the data; providing high values when there is moderate to high levels of censoring and thus an over-optimistic view of a model’s discriminatory ability. Uno’s C-index was shown to be more reliable (in terms of bias) in the presence of moderate censoring and was used to assess the discriminatory ability of the HCM-SCD risk model. Omar’s research on penalised methods ( R3) showed that significant improvements were achieved by using a penalised modelling approach over standard Cox model for rare outcomes. The Lasso penalised regression was shown to perform well when variable selection is involved and was used to develop the HCM-SCD model when the number of SCD events was small. The predictive performance of the risk model was internally validated using bootstrapping on the entire dataset, which required evaluating and choosing the most optimal strategy to combine bootstrapping validation with multiple imputation required for handling missing predictor values.
The risk model was incorporated into the ESC guidelines, a non-profit medical society with member decision-makers drawn from scientists, clinicians, nurses and allied professionals working in cardiology. The ESC guidelines present relevant evidence to help physicians weigh the benefits and risks of a particular diagnostic or therapeutic procedure. Nevertheless, for the HCM-SCD risk prediction tool to be used widely in clinical practice for SCD prevention, it was essential to validate its performance externally on a large independent patient group to confirm whether the model predictions hold in diverse populations. In the second phase of the research (2015-2017), Omar designed a validation cohort study and data on a further 3,703 patients were obtained from a geographically diverse cohort recruited from 14 centres from the United States, Europe, the Middle East and Asia ( R4). This was the largest external model validation study carried out to date for an HCM risk prediction tool. The study demonstrated that the risk model performed very well in this external cohort. The model demonstrated a higher discriminatory ability to separate patients into high and low risks of SCD as measured by the C-index, 0.70 (95% CI: 0.68, 0.72) compared to the pre-2014 guidelines C=0.54 (95% CI: 0.51, 0.56). The model also showed good calibration ( R4).
Statistical team: Rumana Omar, Professor of Medical Statistics, Head of Biostatistics Group, UCL Department of Statistical Science (2000- to date). Dr Menelaos Pavlou, currently Lecturer, Department of Statistical Science (2013 to date). Fatima Jichi, Senior Research Associate, (Biostatistics Group (2012-2017).
3. References to the research
R1. O’Mahony C, Jichi F, Pavlou M, Monserrat L, Anastasakis A, Rapezzi C, Biagini E, Gimeno JR, Limongelli G, McKenna WJ, Omar RZ, Elliott PM (2014). A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM risk-SCD). Eur Heart J 35:2010–2020. https://doi.org/10.1093/eurheartj/eht439
R2. Rahman MS, Ambler G, Choodari-Oskooei B, Omar RZ (2017). Review and evaluation of performance measures for survival prediction models in external validation settings. BMC Med Res Methodology 17(1):60. doi:10.1186/s12874-017-0336-2
R3. Ambler, G & Seaman, S & Omar, RZ (2012). An evaluation of penalised survival methods for developing prognostic models with rare events. Statistics in Medicine 31:1150-61. doi:10.1002/sim.4371
R4. O’Mahony C, Jichi F, Ommen SR, Christiaans I, Arbustini E, (...), Omar RZ, Elliott PM (2017). International External Validation Study of the 2014 European Society of Cardiology Guidelines on Sudden Cardiac Death Prevention in Hypertrophic Cardiomyopathy (EVIDENCE-HCM). Circulation 137(10),1015-1023. doi:10.1161/circulationaha.117.030437.
4. Details of the impact
HCM is an inherited heart disease affecting 1 in 500 people globally (approximately 36 million people). SCD remains the most devastating and feared clinical event for both HCM patients and their cardiologists. Effective prevention of SCD using ICD therapy significantly reduces SCD events and has provided HCM patients with the chance of normal life expectancy. However, ICD implantation carries a substantial risk of major complications for patients. The risk model developed by Professors Omar and Elliott accurately predicts the risk of SCD in HCM patients and is now used in the clinical management of HCM patients to make treatment decisions regarding optimal implantation of ICDs.
Improved clinical guidelines with more accurate and individualised SCD risk prediction for HCM patients
The risk prediction tool has been incorporated in to the 2014 ESC guidelines for the management of HCM patients endorsed in 57 countries ( S1, S2). The ESC unites all national cardiac societies from around the world and disseminates evidence-based scientific knowledge to cardiovascular professionals so they can better care for their patients. Professor Omar and collaborators subsequently conducted a meta-analysis summarising all available published data relevant to the 2014 ESC guideline performance for SCD prevention. The meta-analysis showed that HCM-risk-SCD model provides accurate SCD risk estimates that can be used to guide ICD therapy in accordance with the 2014 ESC guidelines ( S3). In addition, the HCM Risk-SCD tool was validated independently in a wider patient group including HCM patients who had treatment with alcohol septal ablation - a non-surgical procedure to treat obstruction. This international multicentre cohort study also showed good predictive ability of the risk tool ( S4).
The risk model’s use is recommended to clinicians during the “first evaluation and re-evaluation at 1-2 years of HCM patients, as well as whenever there is a change in clinical status” ( S1). The ESC has classified the risk algorithm as a class I tool, which means that its recommendation by ESC is based on “evidence and/or general agreement that a given treatment or procedure is beneficial, useful and effective” ( S1). This tool was also recommended in “Essential Messages” memo (2014) by the ESC, called for informing practitioners about the newest recommendations in an easily interpretable manner. The essential messages released by the ESC on hypertrophic cardiomyopathy in the “take home messages” section stated: “The use of a new risk calculator (HCMRisk-SCD) (http://doc2do.com/hcm/webHCM.html\) is recommended to guide the use of implantable cardioverter defibrillators (ICD)” ( S1).
The risk calculator has been made globally accessible through two different routes:
Free online access of the risk stratification tool (http://doc2do.com/hcm/webHCM.html\)
Free downloadable application on apple and google store, available since 2015. (https://play.google.com/store/apps/details?id=com.icreadomain.hcmcaluculator&hl=fr&rrdi=com.icreadomain.hcmcaluculator\)
Improved clinical decision making for the management of HCM patients
ICD implantation carries a significant risk (estimated to be 9%) of major complications requiring intervention or further hospitalisation of the patient. Furthermore, ICDs can lead to poor quality of life, especially when patients receive inappropriate shocks which can be painful and estimated to occur in 11% of patients. ICD implantation should therefore only be considered for patients for whom the potential benefits of ICD implant outweighs the potential harms. The pre-2014 clinical guidelines used for assessing the risk of SCD in HCM patients had a low predictive accuracy (positive predictive value of 10.5 to 23.3%), resulting in unnecessary and potentially harmful prophylactic ICD implantation in a substantial number of patients who are at intrinsically low risk of SCD. It has been estimated that 85% of HCM patients who get an ICD never receive an appropriate, life-saving shock ( S5). Using the HCM-SCD risk tool to classify patients into SCD risk groups (low, moderate or severe) based on their predicted probabilities enables clinicians to provide targeted management of patients in whom ICD has the greatest potential to prevent SCD and allows reassurance for the large majority of patients who are at very low risk. The risk prediction tool complements clinical reasoning by providing objective individualised prognostic information.
The Medical Director of the Sarver Heart Center at the University of Arizona affirmed that the guideline algorithm identifies a group with substantially elevated risk for sudden cardiac death, which is important for patients that are young, as the complications associated with an ICD at a young age are significant. She states “Accurately identifying that patient at risk is terribly important clinically” ( S6). Physicians can download an app to their phone or computer “to help you [physician] with a patient at high risk and whether you [physician] should counsel that patient about the risks and benefits of defibrillator implantation” ( S6).
The HCM Risk-SCD tool, therefore, offers improved decision-making for clinicians and is a major landmark in the management of cardiomyopathy. The tool is currently used in cardiac centres worldwide and is mentioned in patient referral letters. 695 cardiologists from across 25 countries participated in a survey conducted by the ESC on the use of the risk tool in clinical practice between February 27th and April 1st 2019 ( S7). The survey revealed that there is a widespread use of the tool with 76.3% of the respondents reporting using the tool between 1-5 times in a 6 month period, 12.5% reported using it of 6-10 times and 11.2% reported using it more than 10 times in 6 months. Approximatively 82% of the respondents reported that the tool has improved clinical decision making ( S7). The Clinical Lead for cardiomyopathy at the Guy’s and St Thomas NHS Foundation Trust attested that they “(...) use the sudden death risk prediction model (HCM Risk-SCD) in routine clinical practice” and found that the tool “(…) helps in clinical management of patients with hypertrophic cardiomyopathy” ( S6). Additional supporting letters are available from 2 other cardiac centres including from the clinical lead for heart failure and inherited cardiac conditions at Oxford University Hospitals, which has also confirmed the utility of the tool in their practice “(…) the HCM risk-SCD calculator are fundamental to our daily practice as we strive towards improving patient outcomes in this area. (…) we have adopted (…) HCM Risk-SCD and use it routinely in our clinical practice to guide the risk assessment in our large population of HCM patients and to help rationalise the management of patients with this condition” ( S6).
Improved care and communication for patients facilitating a shared decision making process with their clinicians
It is estimated that for every 13 high-risk patients who receive an ICD as recommended by the 2014 ESC guidelines based on this risk prediction tool, 1 patient could potentially be saved from SCD. The tool also saves unnecessary and potentially harmful ICD implantations in patients who are at intrinsically low risk of SCD.
The tool provides information to patients that empowers them by helping to understand the relative merits of the primary preventative treatment with ICD and their risk of SCD, for example, the implications of no ICD; and the benefits and the risks of treatment with an ICD. It facilitates patient involvement and enables a shared decision making process on treatment between patients and their clinicians, offering patients more personalised care based on their individual risk assessment. The aforementioned ESC survey showed that approximately 77% of the 695 cardiologists who responded from 25 countries worldwide, routinely discuss the risk estimates from the risk algorithm with their patients and that the tool helped in their communication with patients ( S7). This meets the NHS Long Term plan recommendations in improving patient satisfaction through the delivery of a better integrated care involving patients, which has been set has a new challenge for the government in a recent report released by the Health and Social Care Committee (committee appointed by the House of Commons) ( S8). The Chief Executive of Cardiomyopathy UK (the heart muscle charity for patients) said: “This new research shows that this tool, which is already making a real difference to the lives of people with cardiomyopathy, should now be rolled out worldwide so more people can make informed decisions about the treatment options that are best for them” ( S9).
Reducing NHS costs
The underpinning research ( R4) showed that the HCM Risk-SCD tool can be used to avoid unnecessary ICD implants. A very low number of SCDs was observed in HCM patients who had a 5-year predicted risk of SCD of <4% supporting the 2014 ESC recommendation not to implant an ICD in these patents. Consequently, an optimal management of ICD implantations in HCM patients balancing with their SCD risks can be achieved using this tool. The ICD implantation rate in the UK rose sharply until about 2014 and then has been reducing gradually. England showed a 10% drop in the number of ICDs implanted for the year 2017/18 compared to previous years which corresponds to approximatively 1,000 fewer ICD implantations, potentially resulting in cost saving of at least GBP10,000,000 (one ICD device costs the NHS approximatively GBP10,000, then there is additional cost of hospital equipment and stay) ( S10).
Contribution to the understanding of the relationship between patients’ characteristics and SCD
The risk prediction tool has allowed a better understanding of the relationship between the left ventricular maximal wall thickness (MWT), one of the risk factors of SCD, and the risk of SCD. Until recently, the clinical perception was that the more severe the thickening of the heart muscle is the higher the risk of SCD and MWT was one of several clinical features used to guide prophylactic ICD therapy. The development of the risk tool has revealed a non-linear relationship between MWT and the risk of SCD, suggesting that the risk of SCD increases with increase in the thickness of the heart muscle to reach a plateau and declines thereafter ( S11). Thus, the tool has contributed to a better understanding of pathophysiological mechanisms and an improvement on the guidance of ICD implantations, recommending that ICD implantation should not be guided solely on the severity of the left ventricular hypertrophy but a more global SCD risk assessment integrating other risk factors should be used ( S11).
5. Sources to corroborate the impact
S1. “2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy” (29/08/2014) and “Essential Messages from ECS Guidelines” (2014) corroborate recommendation of the HCM Risk-SCD tool by the ECS.
S2. List of ECS National Cardiac Societies corroborates the number of countries endorsing ECS Guidelines.
S3. Article published in Open Heart journal (17/02/2015) corroborates accuracy of SCD risk estimates by HCM-risk-SCD model.
S4. Validation study of the HCM Risk-SCD model in patients with HCM following alcohol septal ablation published in EP Europace (September 2019) corroborates a good predictive ability of the risk tool in this patient group.
S5. An article (22/01/2016) published in CHEST Physician corroborates the accuracy of conventional risk predictors of SCD in HCM patients.
S6. Supporting statements from Medical Director of the Sarver Heart Centre at the University of Arizona (video on Medpage Today accessed on 20/12/2020), Clinical Lead for Cardiomyopathy at the Guy’s and St Thomas NHS Foundation Trust, Clinical Lead for Heart Failure & Inherited Cardiac Conditions at Oxford University Hospitals and Consultant Cardiologist at Belfast Heart Centre corroborate statements provided.
S7. Results of the ESC online survey ‘Hypertrophic Cardiomyopathy HCM Risk Tool Survey 2019’ conducted from February 25th to April 1st 2019 corroborate the adoption of the HCM Risk-SCD tool to clinical practice.
S8. The UK Parliament’s report “Integrated care: organisations, partnerships and systems” (11/06/2018) and a statement from the Department of Health and Social Care (12/03/2019) corroborate that the application of the HCM Risk-SCD tool fulfils recommendations for a better integrated care.
S9. Article “Preventing Sudden Death in Hypertrophic Cardiomyopathy” (29/03/2018) published on Cardiomyopathy UK website corroborates the statement from the Chief Executive on the HCM Risk-SCD tool.
S10. Statement from State for Health and Social Care (25/06/2018) corroborates the number of new implantable cardioverter defibrillators from 2015 to 2018; NICE guidance “Implantable cardioverter defibrillators and cardiac resynchronisation therapy for arrhythmias and heart failure” (25/06/2014) corroborates the cost of ICD implantations.
S11. Article published in Circulation: Arrhythmia and Electrophysiology (June 2016) corroborates that the tool contributes to a better understanding of pathophysiological mechanisms and guidance of ICD implantation.
- Submitting institution
- University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Summary impact type
- Health
- Is this case study continued from a case study submitted in 2014?
- Yes
1. Summary of the impact
Professor Pagel’s group at the UCL Clinical Operational Research Unit (CORU) has developed models and tools that have transformed monitoring of mortality and complications following children’s heart surgery. CORU’s research influenced national standards for improving the quality of care, improved quality assurance at hospital units dedicated to congenital heart disease and enhanced national reporting in the UK. In this way, CORU’s research has contributed to improved survival. Professor Pagel’s research and development of a website on surgical survival data in children with CHD has improved public understanding on children’s heart surgery outcomes in the UK. It also provided an inspiration for societies in the USA to build an online portal to help parents access and interpret survival outcomes after heart surgery there.
2. Underpinning research
Congenital Heart Disease (CHD) affects 1% of babies worldwide and is the most common birth defect in the UK, with 4000 surgeries performed each year. This surgery saves and transforms lives but comes with risks of serious complications and death, making outcomes following surgery highly scrutinised by clinicians, regulators, commissioners and the media. CORU’s Operational Research in CHD comprises a unique combination of statistical model building, data visualisation, software development, and innovative methods for incorporating multiple perspectives on priorities for improvement and the collection and communication of data. The programme of three interlinked research projects (RPs) described in this section was conducted in step with the evolving priorities and needs of the clinical community, families, service commissioners and regulators.
RP1. Tools for monitoring survival and complications following surgery
Different children with CHD have different risk profiles. Hence, simply reporting raw survival statistics potentially penalises hospitals that take on the most complex cases. Before CORU’s work, hospitals, audit bodies, regulators and commissioners were unable to account for this variability when monitoring surgical outcomes or benchmarking performance.
In 2010/11, CORU developed the “Partial Risk Adjustment in Surgery” (PRAiS) model for 30-day survival following paediatric cardiac surgery ( R1). This was the first risk model in CHD to incorporate the nature of each child’s heart defect (diagnosis) and if the child had any other health problem (comorbidity). These innovations required detailed iterative analysis with expert clinicians to establish a manageable hierarchy of diagnostic groups and to decide which comorbidities to include in an indicator variable. In 2013, CORU developed software to implement PRAiS that enabled hospitals and the national CHD audit body (NCHDA) to generate graphical summaries of risk-adjusted survival over time ( R2). Using the software, hospitals could, for the first time, check that their survival rate was commensurate with national expectations by comparing it to the range predicted by PRAiS. In 2015/6, CORU significantly upgraded the model and software with more detailed information about comorbidities and severity of illness in response to the improvement in survival and data collection that followed the 2013 introduction of PRAiS ( R3). The research used statistical methods trusted by the clinical community, such as logistic regression and validation in pristine test-data, to enhance the prospects of its adoption.
In 2014-18, CORU collaborated with a broader set of clinicians to select and define complications following surgery suitable for routine monitoring. CORU augmented the nominal group technique with robust voting methods to incorporate the perspective of CHD patients and their families in decisions on what to measure, before embarking on the world’s first prospective study of post-operative complications in CHD surgery ( R4). This established the rate of each complication in UK practice and identified risk factors for complications.
RP2. Understanding children’s heart surgery outcomes
In parallel to RP1, Professor Pagel designed and led an innovative study to develop a website to help families and the public access and interpret the published data ( R5) . This combined her expertise in statistical modelling, graphical displays and software development with psychology experiments and co-design prototyping. Working with charities, families of children who had undergone surgery, clinicians, journalists, members of the public and other academics, Professor Pagel developed content explaining how the NHS collects and analyses survival data in CHD, iteratively adapting text in response to feedback from the co-design process. This ensured that, for the first time, the survival data were presented using displays and language chosen by and tested with key audiences.
RP3. Targeting services to improve care for babies with CHD outside hospitals
Previous research had not addressed concerns over levels of out-of-hospital mortality among babies with CHD, the variable provision of services at and following discharge from hospital, or the barriers to care experienced by some families.
In 2013-15, CORU worked with clinicians to establish the magnitude of adverse outcomes facing babies with CHD in the year after discharge from hospital, doing this by linking and analysing two national audit datasets for the first time ( R6). CORU innovatively combined soft systems methodology and classification and regression tree analysis to help an expert group including patient representatives target recommendations for service improvements to specific groups of infants based on their profile of risk ( R6).
3. References to the research
R1. Crowe S, Brown KL, Pagel C, Muthialu N, Cunningham D, Gibbs J, Bull C, Franklin R, Utley M, Tsang VT (2012) Development of a diagnosis- and procedure-based risk model for 30-day outcome after pediatric cardiac surgery. Journal of Thoracic and Cardiovascular Surgery, 145:1270-8, 2013 doi:10.1016/j.jtcvs.2012.06.023
R2. Pagel C, Utley M, Crowe S, Witter T, Anderson D, Samson R, McLean A, Banks V, Tsang V, Brown K (2013). Real time monitoring of risk-adjusted paediatric cardiac surgery outcomes using Variable Life Adjusted Display: implementation in three UK centres. Heart, 99(19) doi:10.1136/heartjnl-2013-303671
R3. Rogers L, Brown KL, Franklin RC, Ambler G, Anderson D, Barron DJ, Crowe S, English K, Stickley J, Tibby S, Tsang V, Utley M, Witter T, Pagel C (2017). Improving Risk Adjustment for Mortality After Pediatric Cardiac Surgery: The UK PRAiS2 Model. Annals of Thoracic Surgery, 104(1):211-219 doi:10.1016/j.athoracsur.2016.12.014
R4. Brown KL, Ridout D, Pagel C, Wray J, Anderson D, Barron DJ, Cassdiy J, Davis PJ, Rodrigues W, Stoica S, Tibby S, Utley M, Tsang V. (2019) Incidence and risk factors for important early morbidities with paediatric cardiac surgery. The Journal of Thoracic and Cardiovascular Surgery, pii:S0022-5223(19)31166-3. doi:10.1016/j.jtcvs.2019.03.139
R5. Pagel C, Jesper E, Thomas J, Blackshaw E, Rakow T, Pearson M, Spiegelhalter D. (2017). Understanding Children’s Heart Surgery Data: (2016) A Cross-Disciplinary Approach to Codevelop a Website. Annals of Thoracic Surgery, doi:10.1016/j.athoracsur.2016.11.080, 2017
R6. Crowe S, Brown K, Tregay J, Wray J, Knowles R, Ridout DA, Bull C , Utley M. (2017) Combining qualitative and quantitative operational research methods to inform quality improvement in pathways that span multiple settings. BMJ Qual Saf, 26(8):641-652. doi:10.1136/bmjqs-2016-005636
4. Details of the impact
NHS England commissions surgical centres and other services for children with CHD centrally. The following are crucial to this commissioning framework: the service standards set in contracts; the quality dashboards used to assess performance on a quarterly basis; and financial incentives for the provision of specific services. CORU’s research transformed how local clinicians and national regulators monitor CHD surgical outcomes, and how these outcomes are reported in national audit. It resulted in funding for new services, increased the quality and accessibility of outcome data, and improved public understanding of this complex and highly emotive topic. The OR [Operational Research] Society recognised the “significant impact on the lives of children with congenital heart disease” when awarding CORU the 2019 Lyn Thomas Impact Medal for “the academic OR research which best demonstrates both novelty and real-world impact” ( S1).
Research informed national standards for improving the quality of care:
In July 2015, NHS England published recommendations for an improved model of CHD care in the “New Congenital Heart Disease Review” ( S2). CORU’s research on the development of online resources for interpreting survival data ( RP2) and measuring surgical complications ( RP1) was discussed in detail and formed the basis for recommendations. In addition, the review acknowledged the improvements in data quality resulting directly from implementation of PRIAS model: “The PRAiS model (…) enabled meaningful analysis to be performed on 30-days mortality. The development of PRAiS and improvement in data quality has led to a high level of confidence in the 30-day mortality information produced” ( S2).
Subsequently, NHS England published new “Congenital Heart Disease Standards & Specifications” in May 2016. These stipulate the use of PRAiS software by hospitals in monthly reviews of their outcomes: “The Network will (…) review dashboard metrics including PRAiS mediated variable life adjusted display plots (VLAD) outcomes and unplanned re-interventions, discussion of mortality, morbidity, adverse events and resultant action plans” ( S3) . In addition, they specified quality metrics for a national dashboard to help prevent premature deaths that included the use of PRAiS and the measurement of post-surgery complications ( S3). Since 2016, these metrics have been submitted quarterly to the NHS Congenital Heart Paediatrics Specialised Services Quality Dashboard (SSQD) used to monitor service quality and support improvements. In the two years to September 2019, the inclusion of complication data based on RP1 led to seven instances of hospitals being identified as outliers by the NHS England Quality Surveillance Team ( S5). Subsequently, these hospitals had to account for high complication rates and detail the measures put in place for improvement.
CORU’s research on targeting improvements ( RP3) directly informed commissioning of CHD services. Specifically, recommendations from this research were implemented by NHS England setting standards on: 1) the information that should accompany children if their care is transferred between services; 2) the employment of more cardiac liaison nurses; 3) each child having a named cardiac liaison nurse; and 4) on the need for regular review of deaths outside hospital by staff working in primary, secondary, tertiary and community care ( S5).
Another recommendation of the research prompted NHS England to introduce, within the Commissioning for Quality and Innovation (CQUIN) framework, financial incentives for the development of home monitoring services for children with just one functioning ventricle. This resulted in the provision of this beneficial service across centres in England that perform cardiac surgery in UK children ( S5).
Improved quality assurance of CHD programmes:
The PRAiS software ( R2) was adopted by the NCHDA and by all 13 hospitals in the UK and Ireland performing children’s heart surgery within one year of its release in March 2013 (purchased through UCL Business at GBP3,000 per licence). CORU’s updated model and software, PRAiS2 ( R3), were adopted by NCHDA and the 13 hospitals within two weeks of its release in June 2016.
Death rates have fallen from 2.5% in 2010-2013 to 1.5% in 2016-2019 ( S4) equating to 40-50 fewer children dying within 30 days of surgery each year. While attributing this improvement to any one factor is not possible, transparency of outcome data is widely recognised as a precondition for, and a key driver of, sustained quality improvement in healthcare. The former Chair of NHS England’s congenital heart services clinical reference group acknowledged “The risk-adjustment for case-mix, user-friendly front-end to the software and the intuitive presentation format have engendered a renewed focus of attention on performance and outcomes throughout provider units. Monthly review of outcomes using these metrics has been a major contributor to enhanced clinical governance, engendered a culture of service review and improvement and in turn improved surgical outcomes.” ( S5)
In April 2015, following CORU’s extensive programme of patient and user engagement, NCHDA adopted seven of the nine complications CORU had recommended for measurement in R4 for national routine collection ( S4), including two particularly driven by parental needs . Prior to CORU’s research, the incidence and impact of these complications was unknown. Data from all UK centres on these complications were reported for the first time in NCHDA’s 2017-18 report (published in 2019), which acknowledged that monitoring them “offer[s] important data (…) of value to parents, the clinicians at the centres undertaking the operations and specialist commissioners” ( S6) .
Five hospitals have monitored complications with a further tool developed by CORU. Its application has increased understanding and enabled better data granularity as evidenced by a Clinical Nurse Specialist: “More frequently we need to use data visualisation tools like this to explain the complexity of the data. The automated slides are easy to use and understand and the fact that in essence we can drill down to see more specific data makes this a powerful and efficient tool for reviewing morbidity outcomes. This tool helps us a lot and is especially useful when trying to explain this sort of data to parents and young patients” ( S7). The Clinical Lead of NCHDA acknowledged the impact of CORU’s research: “CORU’s research in the field of CHD has established state-of-the-art quality assurance metrics (…). The research work with CORU has been and will continue to be a major factor in why the NCHDA is regarded as an exemplar, both nationally and internationally, for outcomes analyses, quality assurance and targeted quality improvement initiatives in the field of paediatric and congenital cardiology” ( S4).
Improved public understanding on children’s heart surgery outcomes:
NCHDA’s survival data on children’s heart surgery is used by journalists, politicians, and the public to make difficult judgements about whether heart surgery is “safe”. The Understanding Children’s Heart Surgery Outcomes website developed by Prof Pagel ( R5) launched in June 2016. The site has approximately 3500 users per year, consistent with it being widely used among parents of the 4000 children per year who have heart surgery in the British Isles. The website provides in-depth, state-of-the-art explanations for this sophisticated and complex form of outcomes analysis and is “highly regarded nationally by parent groups, NHSE, the CQC, individual centres and clinicians, as well as internationally, as an exemplar for public reporting of outcomes following CHD surgery” ( S4). One parent acknowledged, “it [is] reassuring to know there is a site we can go to for impartial and trustworthy information. (…) I also now understand what the existing data on children's heart surgery can and can't tell us” ( S8). The website was complimented in the national press and endorsed by major stakeholders including charities, clinical specialists and Royal Colleges ( S9) . An editorial in leading medical journal The Lancet commented that the website “does an excellent job of explaining what these statistics can and cannot tell parents and how they should be used” and that “many more areas of medicine requiring risk communication should take this initiative as a long overdue and most welcome example” ( S9).
Prof Pagel’s research for the website “had a strong influence on the development, functionality and success of our Hospital Navigator”, an online portal developed by the Conquering CHD charity and the Society of Thoracic Surgeons to help parents access and interpret USA survival outcomes after heart surgery ( S10). The design, language, and content of Hospital Navigator were inspired by Professor Pagel’s work, which is “highly regarded and became recognised as best practice” ( S10).
5. Sources to corroborate the impact
S1. The Operational Research Society announcement of Lyn Thomas Impact Medal 2019 corroborates the novelty and impact of the underpinning research in improving services for children with congenital heart disease.
S2. NHS England New Congenital Heart Disease Review: Final report (published 23/07/2015) corroborates the recommendation for PRAiS application within NHS England.
S3. “Congenital Heart Disease Standards & Specifications” (published 23/05/2016) corroborates the requirement that hospitals use of PRAiS software in monthly reviews of surgery outcomes and the influence of CORU research on other service standards.
S4. Supporting statement from the Former Clinical Lead for NCHDA corroborates statements provided and that the underpinning research informed reporting and monitoring of postprocedural complications within 30 days of CHD surgery.
S5. Supporting statement from the Chair (2015-19) of NHS England’s congenital heart services clinical reference group corroborates the use of the CQUIN framework in England, the influence of CORU research on other service standards, and the role of PRAiS2 in improving outcomes.
S6. National Congenital Heart Disease Audit (NCHDA) Report 2017-2018 corroborates benefits of using PRAiS software in reporting survival data and the value of reporting surgical complications.
S7. Supporting statement from a clinical nurse specialist corroborates statement provided.
S8. Guest post on Mumsnets blog (02/08/2016) corroborates statement provided.
S9. Articles and blog posts in The Guardian (21/06/2016), Lancet (25/06/2016), Royal College of Surgeons (21/06/2016), Children’s Heart Federation (date not provided) corroborate media coverage of “Understanding Children’s Heart Surgery Outcomes” website and benefits of resources it provides.
S10. Supporting statement from the Director of Programmes at Paediatric Congenital Heart Association (Conquering CHD) corroborates the influence of the “Understanding Children’s Heart Surgery Outcomes” website on the “Hospital Navigator” website.
- Submitting institution
- University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Summary impact type
- Technological
- Is this case study continued from a case study submitted in 2014?
- Yes
1. Summary of the impact
UCL research on supercooled water droplets and aircraft icing contributed to the design of improved ice protection systems for fixed wing or rotor aircraft by AeroTex. These new designs enabled AeroTex’s customers (aircraft manufacturers and Tier 1 equipment suppliers) in Europe, Asia and North America to comply with the raising regulatory changes on aircraft certification standards, and to operate aircraft more safely in icing conditions with substantial financial savings [TEXT REDACTED FOR PUBLICATION] on wind tunnel testing. The application of methods developed by UCL increased AeroTex’s capabilities that positioned them as experts in the airplane icing industry and trusted partners in international programmes.
2. Underpinning research
Mathematical research by Professor Smith and his team developed and applied quantitative models to resolve and understand various aspects of aircraft icing which are critical for aircraft safety. Impacts of supercooled water droplets onto a plane wing are crucial for plane’s performance. When frozen, these droplets form icing that distorts the effective wing shape. This research conducted between 2001 and 2020 focused on key aspects of impacts of relevance to aircraft icing, taking a novel approach by including modelling and analysis of large droplets, providing scenarios that are more realistic. Specifically, work on asymptotic expansions and matching, involving complex multi-phase fluids, irregular geometry, air-water interactions, shallow-layer impacts and ice-skimming, produced reduced-equation computations and code supported by comparisons with real-world findings.
Early work (2001-2003) by Professor Smith pioneered the development of models that simulate how a layer of air between a droplet and a water layer affects the impact of the droplet ( R1). The impact of splashing of supercool large droplets (SLD) on a layer of water under various parameters (such as air flow, water depth and droplet size) has been investigated by the UCL team since 2002 ( R2). Findings include the first-ever prediction of the surface roughness effect after impact, and how much of the water layer is splashed away. Following this, research focused on modelling impact when a solid body approaches another solid body with one or two fluids (air and water) between them ( R3-R5). This work represents an aircraft-icing scenario when an ice crystal impacts upon a solid aircraft surface that is covered with a layer of water.
A related research strand (2008-2020) involved skimming impacts and rebounds. A methodology for a solid body (such as an ice crystal) undergoing an oblique skimming impact with a shallow liquid layer and then rebounding from it, explained both entries into and exits from water ( R6). Further development of this model includes fluid-body interactions with multiple bodies and multiple impacts of relevance to wind-blown ice particles travelling along an aircraft wing ( R2-R5).
The body of research discussed in this section generated new and simpler computational methodologies for aircraft icing calculations. It provided flexible mathematical predictions of the precise extent of a splash, rebound duration, effects of surrounding air motion, and shapes resulting from ice accretion or melting, which take into account highly variable parameter values including droplet size, impact speed and angle of incidence.
Multiple site visits, collaborations and discussions with QinetiQ, GKN and AeroTex, together with complementary experimental input from Cranfield University, were important for much of the above modelling work ( R1-6).
3. References to the research
R1. Smith FT, Li L., Wu GX. (2003). Air cushioning with a lubricationinviscid balance. Journal of Fluid Mechanics, 482. https://doi.org/10.1017/S0022112003004063
R2. Elliott JW, Smith FT. (2017). Ice formation on a smooth or rough cold surface due to the impact of a supercooled water droplet. Journal of Engineering Mathematics, 102(1). https://doi.org/10.1007/s10665-015-9784-z
R3. Smith FT, Ellis AS. (2010). On interaction between falling bodies and the surrounding fluid. Mathematika, 56(1). https://doi.org/10.1112/S0025579309000473
R4. Smith FT. (2017). Free motion of a body in a boundary layer or channel flow. Journal of Fluid Mechanics, 813. https://doi.org/10.1017/jfm.2016.706
R5. Smith FT, Palmer R. (2019). A freely moving body in a boundary layer: Nonlinear separated-flow effects. Applied Ocean Research, 85. https://doi.org/10.1016/j.apor.2019.02.002
R6. Palmer RA, Smith FT. (2020). Skimming impacts and rebounds of smoothly shaped bodies on shallow liquid layers. Journal of Engineering Mathematics, 124(1). https://doi.org/10.1007/s10665-020-10063-6
References (R1), (R4) and (R6) best indicate the quality of the underpinning research.
4. Details of the impact
Professor Smith investigated and modelled various aspects of aircraft icing impacts. Accurate information on the accumulation of ice on aircraft flying through cloud (at or below freezing temperature) is crucial for planes’ performances and has been a significant factor in a number of accidents. AeroTex UK (AeroTex) used UCL’s research findings to underpin its specialist icing work, ranging from ice accretion physics to the design and certification of ice protection systems for customers in Europe, Asia and North America, including Meggitt Aerospace, GKN Aerospace, Zodiac-Intertechnique (now part of SAFRAN) and Villinger R&D (trading as Laminar De-Ice). The realistic modelling has informed the design of aircrafts and ice protection systems, resulting in improved aircraft safety. The collaboration between UCL’s team and AeroTex influenced the development of new methods to fulfil regulatory requirements. It also improved productivity and financial performance of the company.
Development of new methods and their influence on capabilities and industry standards
Investigations into several plane crashes in the 1990s and early 2000s found that accidents were caused by ice build-ups on the wings during conditions such as freezing rain. In 2010, FAA proposed new regulations that require airplanes most affected by SLD and ice crystals to meet certain safety standards during icing conditions. These proposals formed the basis for the final rule approved in 2014 . The European Aviation Safety Agency (EASA) proposed similar updates to their certification specifications for large aeroplanes in 2011. It is now mandatory to certify new aircraft against the new requirements, for Large Aircraft (CS-25), and is strongly encouraged for smaller business jet and regional aircraft (CS-23).
AeroTex provides industrial solutions for clients (such as Boeing and Airbus) to comply with the FAA and EASA regulations. Professor Smith’s research has enhanced the modelling capabilities of AeroTex since 2014 through the development and adaptation of computational codes for ice growth, ice crystal impact, splashing, disintegration and particle trajectories within the company’s modelling framework for complex icing problems. Stated by the founder of AeroTex: “Over the course of our collaboration with Prof Smith’s team at UCL, the developments related to our icing work have significantly increased our modelling capabilities. Early work with Prof Smith integrated the icing physics that is included in our 2D Lagrangian code into a 3D Eulerian code allowing the analysis of complex 3D geometries that were previously outside of our capabilities” ( S1). These codes formed the basis of the Aircraft Icing Design (AID) analysis tool that AeroTex uses for analysing the on-plane ice protection systems for major industry clients.
AeroTex supports aircraft manufacturers, airframers and systems suppliers in gaining icing certification for their products by providing accurate simulation tools. In one of several recent projects, AeroTex implemented methods developed by Professor Smith and his team to efficiently and accurately calculate the heat transfer coefficient over a range of aircraft geometries and airflows. This enabled AeroTex to model a wider range of scenarios and physical dynamics as well as to increase the scope for the application to a diverse range of aircrafts (from helicopter rotors and inlets, through to business jets and large commercial aircrafts). As stated by AeroTex's owner: “With the valuable input provided by UCL to our code development, we have managed to maintain our position as one of the leading suppliers of aircraft icing design support services worldwide” ( S1).
Furthermore, testing in a wind tunnel can take many days and cost approximately GBP50,000 per day ( S1). [TEXT REDACTED FOR PUBLICATION].
Increased commercial performance of AeroTex
The application of methods developed by UCL helped AeroTex to become competitive in aerospace consultancy and to secure commercial and development bids. [TEXT REDACTED FOR PUBLICATION].
Capacity building for aircraft safety assessment
AeroTex benefited from the computational codes developed by Professor Smith’s team as part of their industry placements. These codes allowed the company to apply expertise in modelling for the analysis of large droplets, and hence improve Aerotex’s abilty to “assess more physical aspects of the large droplet phenomena. This allows [us] to predict the details of the impingement more accurately on various aircraft surfaces and therefore tailor heater positions, power and scheduling, to fully address these issues” ( S1). AeroTex continued contributing to the sector’s understanding on aircraft icing, modelling and prevention part of several large international programmes (FP7 STORM; Cleansky 2 – InSPIRE & GAINS; SENS4ICE) between 2014 and 2020 ( S1).
5. Sources to corroborate the impact
S1. Supporting letters from Partner & Aerospace Engineering Consultant at AeroTex UK received on 11/05/2020 and 11/01/2021 corroborate how Aerotex benefited from codes and models developed by the UCL team.
S2. Commentary of Boeing Commercial Airplanes on Regulatory Impact Assessment (5.4.1.2 Certification costs for new projects for larger CS-25 aeroplanes) corroborates costs of wind tunnel testing.
S3. Fact sheets on STORM, SENS4ICE and INSPIRE projects corroborate funding received by AeroTex’s.
- Submitting institution
- University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Summary impact type
- Health
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
Researchers in the UCL Department of Statistical Science (DSS) contributed to changes to policies and guidelines for HPV vaccination in Italy, the UK and Canada. Their work demonstrated the potential for cost-effectiveness of a universal vaccination strategy (in comparison to simple screening programmes or targeted vaccinations for young females only). As a result, the annual overall expenditure for HPV vaccines in Italy increased by 17.4% in 2017, generating an estimated income to the manufacturers of approximately EUR22,500,000 (approximately GBP19,800,000). UCL DSS research has also informed the national Meningococcal group B bacteria vaccination programme in the UK that led to a 62% decrease in meningococcal disease cases over the first three years of the programme.
2. Underpinning research
Professor Baio’s research focuses on developing Bayesian modelling for cost-effectiveness analysis and decision-making problems in health systems. This type of model is used to support the submission of new health care interventions (typically medicines) to regulatory agencies – such as the National Institute for Health and Care Excellence (NICE) in England – which, in turn advise governments on whether public funds should be used to pay for these interventions.
Typically, the effectiveness of vaccination strategies is evaluated using dynamic compartmental models fitted solving Ordinary Differential Equation systems (ODEs) in continuous time. While accounting for infection dynamics (representing the “industry standard”), they are computationally burdensome, particularly in realistic situations characterised by a large number of “states”. More importantly, it is hard to propagate in a principled way the joint uncertainty of all the model parameters. This is paramount in medical decision making, and amounts to a procedure in which all input parameters are considered as random quantities and are therefore associated with a probability distribution that describes the state of science ( ie the background knowledge of the decision maker). This is typically referred to as “probabilistic sensitivity analysis” (PSA) [ R1].
To overcome the crucial limitation of ODE based models in the application of PSA, Professor Baio and his research group developed a modelling framework based on a Bayesian evidence synthesis of the most relevant sources, coupled with a computationally efficient version of a Markov model (MM) – a version of multistate models widely used in Health Technology Assessment (HTA). Specifically, the research team developed a Bayesian dynamic Markov model [ R2, R3], to allow for herd immunity and dynamic transmission of infection. This is based on discrete time cycles and the model uses a lower temporal resolution in comparison with standard ODEs. It also allows one to obtain calibrated estimates of the underlying population dynamics (in terms of progression to infection and re-infections, in addition to other relevant health states) at a fraction of the computational time. Consequently, Professor Baio’s research team were able to consider a complex structure (over 50 interconnected health states) and to fully propagate the joint uncertainty, where limited empirical evidence was present, into the model parameters.
This novel approach has been applied to the BESTII study [ R4] to assess:
the cost-effectiveness of a new vaccination strategy aimed at reducing the burden of Human Papilloma Virus (HPV), one of the leading causes of cancer of female and male genital system, anus, oropharyngeal, anogenital warts, and recurrent respiratory papillomatosis.
the benefits and costs of expanding coverage to both females and males – specifically in 12-18 year olds.
Professor Baio’s team led on all the methodological and modelling aspects of the research, including the design and conduct of the analysis. As a result, and in line with standard HTA requirements (that inform regulatory guidance, eg NICE), their model was able to:
demonstrate the potential for cost-effectiveness of a universal vaccination strategy (in comparison to simple screening programmes or targeted vaccinations for young females only);
provide a full characterisation of the level of uncertainty around the suggested decision-making process.
The research underpinning this case study has been conducted by the “Statistics for Health Economic Evaluation” research group, led by Gianluca Baio (Reader 2014-2018; Professor of Statistics and Health Economics 2018-) and including Katrin Haeussler (PhD student 2011-2015), Anna Heath (PhD student 2014-2018; now at University of Toronto, Canada, as Assistant Professor), Andrea Gabrio (PhD student 2014-2018; now at Erasmus University, Netherlands, as Assistant Professor), Ioanna Manolopoulou (Lecturer 2014-2018), Ardo van den Hout (Lecturer, 2011-2015) and other collaborators.
3. References to the research
[R1] Baio G, Dawid AP. (2015). Probabilistic sensitivity analysis in health economics. Stat Methods Med Res. Dec;24(6):615-34. doi: 10.1177/0962280211419832.
[R2] Haeussler, K, Marcellusi, A, Mennini, FS, Favato, G, Picardo, M, Garganese, G, Bononi, M, Costa, S, Scambia, G, Zweifel, P, Capone, A, Baio, G. (2015). Cost-effectiveness analysis of universal human papillomavirus vaccination using a dynamic Bayesian methodology: The BEST II study. Value in Health. 18(8)956-968 doi:10.1016/j.jval.2015.08.010[R3] Haeussler, K, van den Hout, A, Baio G. (2018). A dynamic Bayesian Markov model for health economic evaluations of interventions against infectious diseases. BMC Medical Research Methodology, 18(82). doi: 10.1186/s12874-018-0541-7[R4] Mennini, FS; Bonanni, P; Bianic, F; De Waure, C; Baio, G; Piazzotta, G; Uhart, M; Rinaldi, A; and Largeron N. (2017). Cost-effectiveness analysis of the nine-valent HPV vaccine in Italy. BMC Cost Effectiveness and Resource Allocation, 15(11). doi: 10.1186/s12962-017-0073-8
4. Details of the impact
Professor Baio’s BESTII research on the decisions to fund the nine-valent HPV vaccine have been cited directly by several international jurisdictions in Italy, Canada and the UK, with authorities later modifying policy guidance for HPV vaccination based on Professor Baio’s recommendation. The policy change has led to the extension of HPV vaccination programme to 2,000,000 males in Italy (with approximately 35% already vaccinated), generating savings of approximately EUR71,000,000 per year for the Italian national healthcare service. In addition, Professor Baio’s research on the cost-effectiveness of Meningococcal group B bacteria vaccination informed policy changes and promoted the protection of 800,000 babies per year in the UK.
Extending the vaccination programme against HPV in Italy
Italian teams of economists collaborating with the UCL research team presented the BESTII study results to the Italian Medicines Agency and Servizio Sanitario Nazionale (SSN; the Italian equivalent of NHS). The latter used these results as part of the evidence base to motivate changes in the national guidelines on the vaccination programmes (‘Piano Nazionale Prevenzione Vaccinale’, PNPV 2017-2019), which were revised in January 2017 to expand HPV vaccination to 12-18 year old males. The PNPV 2017-2019 guideline directly cites the UCL team’s work as evidence to EUR71,000,000 reduction of direct costs estimated for diseases caused by HPV virus: “a recent economical evaluation model (…) estimates a 64% reduction of HPV-related events in males following a universal vaccination” ( S1). Following this change in regulation, the SSN covered the costs of HPV vaccinations for approximately 2,000,000 males aged 12 to 18 years old ( S2). The long-term savings for SSN are estimated at EUR71,000,000 per year (approximately GBP63,000,000) ( S1), due to a reduction in male HPV-related diseases and their subsequent diagnosis and treatment.
Economic impact on the HPV vaccine manufacturers
The development of more advanced quadrivalent vaccination exhibited a potential benefit through targeting 4 strains of HPV. However, it involved higher acquisition costs compared to the bivalent vaccine, which at the time was provided in Italy for female vaccination at the age of 12-15 years old, in accordance with national guidelines. In addition, there was inconsistent evidence regarding the potential effects on population health of including young males in the vaccination programme. As a result of the impact of the BESTII study [ R2] and the subsequent change in the Italian guidelines, the overall annual expenditure for HPV vaccines in Italy increased by 17.4% in 2017. The Italian National Vaccination Plan provides universal anti-HPV vaccination with Gardasil-9 produced by Merck, with an estimated income for the vaccine manufacturer of EUR23,100,000 ( S3).
Informing policy changes to the HPV vaccination programme in the UK
Results from underpinning research informed the letter that Professor Giampiero Favato wrote to the then UK Health Secretary Jeremy Hunt on 13th June 2016, urging the UK Government to extend the national HPV vaccination programme to include all adolescent boys, potentially protecting over 400,000 boys per year ( S4). In addition, these results were part of the evidence presented to the Joint Committee on Vaccination and Immunisation (JCVI), the UK’s independent expert advisory committee to ministers and health departments on immunisation. In July 2018, the JCVI concluded that “(…) a gender neutral programme would provide resilience against short-term fluctuations in uptake as well as offer the prospect of better control of the main cancer causing types of HPV” ( S5), thus resulting in the Government’s implementation of the gender-neutral HPV vaccination in the UK since September 2019. Currently, 12 and 13 year olds are routinely offered the first HPV vaccination, while a second dose is offered 6 to 24 months later ( S5).
Officials stated that the universal vaccination programme is “[…] firmly grounded in evidence to ensure that we can get the best outcomes for patients”, while the Head of Immunisations at Public Health England stated: “I’m pleased that adolescent boys will be offered the HPV vaccine. Almost all women under 25 have had the HPV vaccine and we’re confident that we will see a similarly high uptake in boys. This extended programme offers us the opportunity to make HPV-related diseases a thing of the past and build on the success of the girls’ programme, which has already reduced the prevalence of HPV 16 and 18, the main cancer-causing types, by over 80%. We can now be even more confident that we will reduce cervical and other cancers in both men and women in the future” ( S6).
Towards establishing a universal vaccination programme against HPV in Europe and Canada
The BESTII study, together with other evidence, informed the European Parliament’s European Immunisation Week campaign in 2017, which saw the launch of a new report: “Improving health equity and cancer prevention outcomes: HPV vaccination for boys and girls” ( S7). Moreover, the BESTII study has also provided evidence on the cost-effectiveness of adding males to current HPV vaccination protocols to “Public consultation on draft guidance for introduction of HPV vaccines in EU countries: focus on 9-valent HPV vaccine and vaccination of boys and people living with HIV” from the European Centre for Disease Prevention and Control in April 2019 ( S7). Indeed, many more countries have already implemented or are preparing to implement universal HPV vaccination, including Croatia, Norway, Germany, Serbia, and New Zealand ( S7). The results from the BESTII study were also part of the evidence on the economic advantages of extending HPV vaccination age in both females and males that informed the Canadian guidelines on HPV immunization programme. Based on BESTII and other reviewed studies, The Canadian Agency for Drugs and Technologies in Health extended the vaccination programme to males up to 26 years old ( S7).
Informing policy changes to the Meningococcal group B bacteria vaccination programme in the UK
In 2013, the JCVI decided against recommending the use of Bexsero, the first vaccine developed against Meningitis B bacteria (MenB; one of the leading infectious killers in young children, with 5% mortality rate, and responsible for more than 90% of meningococcal infections in children under one). Bexsero had been approved by the European Medicines Agency (EMA) and the US Food and Drug Administration (FDA) and was one of only two vaccines available against MenB. The decision was based on the analysis, developed by researchers at Warwick and the London School of Hygiene & Tropical Medicine (LSHTM), of the impact and cost-effectiveness of different vaccination strategies using a model based on ODE’s, which concluded that the vaccine did not represent value-for-money, at the price requested by the manufacturer (originally Novartis).
[TEXT REDACTED FOR PUBLICATION]
Bexsero (then marketed by GSK) was added to the UK infant immunization schedule starting from September 2015, enabling the annual protection of 800,000 babies (at a cost of GBP16,000,000). In the first three years of the vaccination programme against MenB, cases of the disease decreased by almost 62% in children who received at least two doses. Specifically, between 2015 and 2018, an estimated 277 out of 446 expected cases were prevented because of the vaccine ( S10).
5. Sources to corroborate the impact
S1. SSN guidelines on the vaccination programmes (PNPV 2017-2019, page 86) corroborate figures on reduction of HPV-related diseases in males and costs of their treatment.
S2. Italian National Statistics Institute corroborates number of males included in vaccination programme. S3. AIFA 2017 National report on the usage of medicines in Italy corroborates the information and figures for annual expenditure and recommendation for 9-valent HPV vaccine.
S4. Transcripts of the letter sent to the Health Secretary Jeremy Hunt to the Secretary of State (13/06/2016) in the UK corroborate the request of extension of the national HPV vaccination programme supported by the underpinning research.
S5. HPV Vaccination from 2018 and NHS public health functions agreement 2019-20
(Service specification No.11) published in July 2019 corroborate recommendation of HPV vaccine for males 12-18 years old.
S6. News story published on the UK Government website (24/07/2018) corroborates statement from the Head of Immunisations at Public Health England UK on benefits of HPV vaccination in the UK.
S7. Canadian Agency for Drugs and Technologies in Health report published on 24th March 2017 (page 7-9); European Centre for Disease Prevention and Control guidelines (01/04/2019; page 12, 52,64,70); Articles published in Vaccines Today (25/04/2017) and Health Europa (23/04/2018) - corroborate that [R2] was used as an evidence to inform guidelines and reports.
[TEXT REDACTED FOR PUBLICATION]
S10. Public Health of England study published in New England Journal of Medicine journal corroborates the decrease of meningitis cases in children included in vaccination programme against MenB between 2015 and 2018.
- Submitting institution
- University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Summary impact type
- Societal
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
UCL researchers Dr Hannah Fry and Professor Helen Wilson made complex mathematics accessible to millions among the general public with popular talks, lectures, books and TV programmes. They simultaneously demonstrated how wide-ranging mathematical modelling (from crime to pandemics and from chocolate to corn starch) has impact in the real world. This has inspired interests, informed decision making, encouraged school students to consider pursuing mathematics further and sent an important message about mathematics not being an all-male preserve. It has also helped dispel misinformation circulating during the coronavirus pandemic. Since the programme of engagement with Maths started, applications to UCL Mathematics have increased by 46% to 2436 between 2013/14 and 2019/20.
2. Underpinning research
Dr Hannah Fry uses mathematics to address social questions, from human relationships with algorithms; to crime; to outbreaks of infectious disease. Professor Helen Wilson develops mathematical models of complex fluids, with wide-ranging industrial applications.
Human relationships with algorithms
As society becomes more reliant on technology, there is an increasing demand for complex algorithms that can tackle increasingly sophisticated tasks. However, there is a critical need and moral duty to better understand the implications and, more importantly, the limitations of automation. Fry’s 2018 book, Hello World: How to be Human in the Age of the Machine ( R1), does just that. Using examples such as medicine, self-driving cars and justice, she argues powerfully that algorithms must be integrated with human decision making rather than used as a substitute. The book shows the strengths of algorithms, for example, the chapter on crime, which includes a mathematical model developed by Fry and colleagues, to describe the relationship between crime and location, and how burglars decide on the optimal activity level of a street to target ( R2). The book also highlights their weaknesses, using Fry's mathematical insight to explain why artificial intelligence and machine learning are fundamentally unsuited to making many important decisions without human oversight.
Human behaviour underlying disease transmission
In 2018, the BBC commissioned a project to develop a better understanding of how an infectious disease like flu can spread, by collecting and interpreting data on how people travel and interact. The project consisted of two parts; a BBC documentary and an accompanying smartphone App (“BBC Pandemic”), from which users contributed three types of data; their age, location, and movement. This data was then used to develop a mathematical model of disease spread; how a potential pandemic might unfold; and the effect of certain control measures, such as handwashing ( R3). In collaboration with researchers from the University of Cambridge and the London School of Hygiene and Tropical Medicine, Fry led the documentary and nationwide recruitment campaign, encouraging members of the public to participate in the project. Fry’s additional role was to explain, in an accessible way, the mathematics involved. Follow-on work in response to the Covid-19 pandemic has published population contact matrices (a vital tool for epidemiological modellers), giving age-specific patterns of movement and social mixing, classified by key characteristics such as contact type (conversational or physical) and setting (home, work, school, other) ( R4). Mathematical models built from this base, demonstrated that the most effective strategy against Covid-19 involves a combination of isolation and full contact tracing ( R5).
Mathematical models of complex fluids
Professor Helen Wilson has a broad platform of research across complex fluids, including those which become thinner or thicker under flow. The team studied the chocolate fountain.
Molten chocolate gets mildly thinner under flow. In their study, Wilson and co-author Townsend divided the flow within a chocolate fountain into three distinct dynamical regimes: 1) being pumped to the top through a pipe, 2) flowing as a thin film over the tiered domes, and 3) falling freely as a curtain. They showed that the dome flow was driven by a balance between gravity and viscosity, and that the dominant effect in the falling curtain was the inwards pull of surface tension ( R6).
3. References to the research
R1. Fry H. (2018) Hello World: Being Human in the Age of Algorithms (1st. ed.). W. W. Norton & Company. Available on request.
R2. Frith M., Johnson S, Fry H (2017) Role of the street network in burglars' spatial decision‐making, Criminology 55:344-376. doi:10.1111/1745-9125.12133
R3. Klepac P., Kissler S., Gog J. (2018) Contagion! The BBC Four Pandemic – The model behind the documentary. Epidemics 24:49-59 (2018). doi:10.1016/j.epidem.2018.03.003
Note that Fry is not an author on the first pandemic paper, however, is specifically acknowledged for her “contributions to this project's specification and the collection of the data, as well as for [her] assistance in developing of the ideas presented in this article”.
R4. Klepac P., Kucharski A., Conlan A., Kissler S., Tang M., Fry H., Gog J. (2020) Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project. medRXiv. doi:10.1101/2020.02.16.20023754
R5. Kucharski A., Klepac P., Conlan A., Kissler S., Tang M, Fry H. (2020) Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study. Lancet Infect Dis 20:1151-60. doi:10.1016/S1473-3099(20)30457-6
R6. Townsend A., Wilson H. (2016) The fluid dynamics of the chocolate fountain. J. Phys. B 37. doi:10.1088/0143-0807/37/1/015803
Note that some of the impact occurred before publication: the project was complete in 2012 but the publication followed later.
4. Details of the impact
UCL’s research has led to impacts in three key areas: algorithms, modelling disease outbreaks, and non-Newtonian fluids. Through research, its application and public engagement, Dr Hannah Fry and Professor Helen Wilson have cultivated a greater awareness of the use of mathematics applied to real-world scenarios. Engagement via broadcast and press media as well as social media have increased the appreciation of mathematics in a global audience of millions. Outreach engagements with schools have had a strong and positive impact on encouraging further studies in mathematics among GCSE and A-level students. By presenting female mathematicians as role models, they demonstrated that mathematics is not a purely male pursuit.
Improving public understanding of the applications of mathematics: algorithms
The use of spatial decision‐making in crime prevention ( R2) is one of the chapters in the book Hello World ( R1) that has engaged over 140,000 readers ( S1). It was also discussed by Fry in two YouTube videos “Being Human in the Age of Algorithms” and “The Mathematics of Crime and Terrorism” which were watched approximately 30,000 and 700,000 times, respectively ( S1). The videos have stimulated public interest in mathematics with viewers commented “I'm studying safety and security right now and this is really interesting”, “This makes me want to understand maths better than I do” ( S1).
By discussing the benefits of algorithm applications and the consequences of their misuse in Hello World ( R1), Fry has encouraged changes in the understanding of maths among readers on various career paths, as evidenced by feedback: “I’ve just finished reading your book Hello World and it’s an amazing read. I absolutely back everything you say, spot on! (...) I’m slowly changing the mind-set of the global organisation I work for and will personally purchase a number of your books to give as gifts to global CEO and CTOs” ( S2);
“(…) your book has provided a valuable contribution to my thought process, both personally and for teaching students” ( S2);
“I posted a short blog referencing you as I saw a powerful link between the challenge you present and the concepts, I have been encouraging execs to think about the distinction between decisions and choices” ( S2);
“(…) I am a computer scientist and I am very sceptical about AI, and I really thank you for pointing out the flaws of AI and how to use AI in a way that is truly advantageous” ( S1).
Improving public understanding of the applications of mathematics: how disease is spread
In the project Contagion! The BBC Four Pandemic, engagement with the public was a key part of the research itself. Fry’s contribution to the BBC Four’s Contagion! citizen science project encouraged sign-ups from almost 30,000 participants and over 10,000 App downloads from the Google Play store ( S3). The Contagion! documentary was aired in March 2018 with a viewership of 547,000, making it the most watched show during its debut week ( S3). Fry has been acknowledged for using mathematical modelling to improve public understanding of how a pandemic is spread ( R4). She played “a strong role in preparing for future potential pandemics, by providing movement and interaction data for over 30,000 people” ( S4). The Commissioning Editor for Natural History and Specialist Factual commented on the wide public interest and involvement in the project thanks to which “(…) each download is a step closer to being more prepared for when the next pandemic does strike” ( S3). Indeed, in 2020, the Contagion! documentary continued to encourage discussion on how lockdown could help reduce the reproduction rate (R rate), and mathematical models developed for the Contagion! project continued to be used by media outlets such as BBC Science Focus and Business Insider to communicate the importance of hand washing in the current Coronavirus pandemic. As such, there has been a cascade of information from Contagion! being used to change public attitudes.
Most recently, the Contagion! documentary has been selected for re-broadcast in 6 other countries (Sweden, Norway, Switzerland, Turkey, Taiwan, Hong Kong) to better inform the public and quell misinformation regarding the pandemic caused by SARS-CoV-2 virus ( S5). The CEO of Magnify Media commented “(...) an intelligent and informative documentary, but it’s also a timely one in the light of the misinformation and uncertainty surrounding the coronavirus. Contagion! is a sensitively made programme that explains how pandemics evolve and move around communities, based on reliable modelling techniques and technology” ( S5).
Fry continued using mathematical models ( R5) to explore the future effect of COVID-19 in BBC’s Coronavirus: A Horizon Special. The programme was watched live by 1,800,000 people and was referred to as “[containing] more clear and concise scientific fact in the first five minutes than we’ve had in the last month or so” and “the most fascinating and informative thing I have seen about COVID-19” by viewers on Twitter ( S6). The programme served as an exemplar of contact tracing with key learning reported by the Scientific Advisory Group for Emergencies (SAGE) ( S7).
Inspiring uptake of mathematics among school students, especially on girls
Fry’s principal contribution to inspiring the next generation of mathematicians comes from the research she carried out that led to her book Hello World ( R1), which has sold 143,000 copies worldwide, and its subsequent engagement events. Recognised for her “qualities which are meaningful to young people considering careers in STEM subjects ”, Fry was awarded the 2018 Royal Society Insight Investment Science Book Prize. In 2019, Fry presented the Royal Institution’s Christmas Lecture series, largely based on the book, and including discussions on spatial algorithms from her earlier research ( R2). The Christmas Lecture series was broadcasted on national television as well as online, receiving over 1,800,000 views in total across the episodes ( S8). Due to demand (the live event was oversubscribed 20-fold), the lectures were also live-streamed at 18 school venues across the UK. In addition, Fry’s original ideas detailed in the book Hello World inspired the Christmas Lecture’s Self-Driving Cars Debate Kit which was distributed to over 2,000 teachers and partners (including over 1,000 schools) ( S8). After using the kit, teachers said it had benefited the students for its “use of technology and gets students to think about areas of employment for the future” and that it put “STEM learning in a real-life context” ( S8). An associated event online called “I’m a Mathematician Christmas Lectures Zone” saw 1,156 participants from 55 schools take part. It was highly successful in stimulating students’ interest, with UCL academics providing more than 40 answers and over 200 lines of live chats addressing questions mainly about education and careers in mathematics/STEM. This direct engagement with UCL academics motivated many students. One stated, “I have loved finding out about your inspirations and it has motivated me to do better” ( S8).
Since Wilson and Townsend’s research on the fluid dynamics of the chocolate fountain in 2012 ( R6), the modelling described in the paper has been used as a way to engage interest in mathematics, particularly among secondary school students. The paper has been downloaded directly over 28,000 times and been shared in at least 20 news outlets globally, including the Washington Post, Daily Mail, The Independent, the Smithsonian Magazine, Corriere della Serra and Wired Italy ( S9). In particular, its coverage in First News, a national newspaper for children, has reached a readership of 2,235,888 ( S10). Delivered as part of an interactive activity, the chocolate fountain demonstration has been taken to 14 school events and 8 large multi-school events since 1st August 2013, inspiring over 5,250 students in the process ( S11).
When Wilson and Fry presented their research on chocolate and crime (respectively) at the Institute of Mathematics and its Applications (IMA) 16+ lectures, a survey revealed that 95% of the 126 attendees gained a greater awareness of how maths is applied to real life and 36% are more likely to consider studying maths at university ( S12). Further impact on the attending students can be demonstrated from this quote from one Head of Maths who stated “(...) some of the talks engaged our students and more than usual of our top set chose to take Further Maths as well as Maths for A-level” ( S13).
To inspire girls into mathematics, both women have presented the underpinning research at a series of events, including the Royal Institution’s “Celebrating Women in Mathematics” (2014 and 2015) and the UCL “Inspiring Women in Mathematics” events. As one teacher commented “our journey home on the tubes was full of Maths Chat. It was wonderful to hear the conversations that were occurring between 13/14-year-old girls”. Many attendees were also inspired to pursue mathematics for A-levels and at university; one noted “(how…) useful the event was in allowing us to think about pursuing maths at A level or University. I have definitely been persuaded and have already looked at careers in operational research. I also believe that education facilities everywhere should hold events such as this to help teens to realise that a career like maths has hundreds of opportunities” ( S13).
Fry’s achievements in public engagement were recognised by the IMA and the London Mathematical Society (LMS) with the Christopher Zeeman medal, the highest award for the Communication of Mathematics in the UK. Nominations cited early dissemination of the research, which eventually formed the book Hello World. Excerpts from the citation for the award state “Hannah Fry is a truly outstanding ambassador for mathematics and it is fitting that she is awarded this prize in acknowledgment of her remarkable impact” for “(…) her most significant achievement (which) is to have inspired a generation of girls in a way that has not been done before” ( S14) .
5. Sources to corroborate the impact
S1. Supporting statement from Literary Agent at Janklow & Nesbit UK corroborates number of sold copies of Hello World book; YouTube website for “Being Human in the Age of Algorithms” and “The Mathematics of Crime and Terrorism” videos and viewers comments corroborate viewership number and statements provided.
S2. A selection of Hello World readers’ emails to Hannah Fry corroborate statements provided.
S3. Article published on BBC Media Centre website (22/03/2018) and “Weekly top 10” report corroborate the number of participants in Contagion! project and viewership of the programme.
S4. Commentary and review of BBC Four Contagion! programme published on MedicalXpress website (22/03/2018) corroborate statement provided.
S5. Article published on TBI (12/03/2020) corroborates statement from CEO of Magnify Media and that the Contagion! documentary was sold to European, Asian broadcasters.
S6. Announcement about “Coronavirus: A Horizon Special – Part II” programme published on Northbank Talent website (18/05/2020) corroborates statements provided.
S7. Report by SAGE corroborates using BBC Pandemic data to model the impact of isolation, testing, contact tracing and physical distancing on reducing transmission of COVID-19 in different settings.
S8. Supporting statement from Series Producer at Windfall Films, interim evaluation report on “Self-Driving Cars Debate Kit” and report “2019 Christmas Lectures Zone (CLZ): Secrets and lies” corroborate viewership of Christmas Lecture series, Fry’s influence on “Self-Driving Cars Debate Kit” and details on CLZ, respectively.
S9. Overview of attention for article “The fluid dynamics of the chocolate fountain” published in European Journal of Physics (11/2015) corroborates number of downloads and features in global news outlets.
S10. Data on “First News” readership corroborates number provided.
S11. A list of outreach activities related to the chocolate fountain talks corroborates number of the chocolate fountain demonstrations within REF period.
S12. Analysis of delegate questionnaires from IMA 16Plus Lectures (06/2018) corroborates impact of lectures on attendees’ awareness of mathematics and intention to study mathematics at university.
S13. Article in Sutton & Croydon Guardian (01/03/2015) and supporting statement from Head of Maths at Archbishop Tenison's CE High School corroborate statements provided.
S14. IMA award announcement corroborates the award of 2018 Christopher Zeeman Medal to Fry and statements provided.
- Submitting institution
- University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Summary impact type
- Societal
- Is this case study continued from a case study submitted in 2014?
- No
1. Summary of the impact
The START (STrAtegies for RelaTives) intervention is a psychological therapy to reduce anxiety and depression in family carers of people with dementia. It was developed and evaluated by a multidisciplinary team at UCL, including essential contributions from statisticians led by Dr Barber. Statistical modelling showed the START intervention to be cost-effective and clinically relevant over the short- and long-term. The intervention has improved UK policy and guidance on dementia care. The intervention is used in the UK by at least 24 services across 12 NHS Trusts and by charities such as the UK Alzheimer’s Society. It has also been translated and adapted for use in 5 other countries: Australia, Spain, Japan, India and Hong Kong.
2. Underpinning research
The increasing dependence and challenging behaviour of people with dementia strongly affects the mental health of family members, who provide much of their care. Approximately 40% of these carers have clinical depression or anxiety, while others have significant psychological symptoms. Evidence from systematic reviews suggests that psychological interventions individualised to the carer are most effective in preventing breakdown of patient care and delaying care-home admission. As the number of people with dementia in the UK is projected to increase by 80%, from almost 885,000 in 2019 to around 1,600,000 by 2040, it is critical to develop strategies to decrease the distress of carers.
Dr Julie Barber (UCL Statistical Science), together with a multi-disciplinary group of researchers led by Professor Gill Livingston (Division of Psychiatry, UCL), developed and evaluated the STrAtegies for RelaTives (START) intervention; a programme of therapy and coping strategies for dementia carers. The multi-disciplinary team comprised clinical psychiatrists specialising in older adults, clinical psychologists, neurologists, qualitative researchers, health economists, and statisticians. Dr Barber led the statistical team and was responsible for all statistical aspects of the evaluation of the START intervention.
In 2009, the research team conducted a randomised trial of START. The trial recruited 260 carers, who were randomly allocated to the intervention (START) group and to the ‘treatment as usual’ (TAU) control group in a 2:1 ratio. Within the intervention group, participants received 8 sessions of manual-based therapy (performed according to specific guidelines to maximise consistency), delivered over 8-14 weeks by psychology graduates supervised by the research team. This was the first UK randomised trial on the clinical effectiveness (long-term reduction of depression and anxiety symptoms) and cost effectiveness of individual manual-based therapy for dementia carers.
Dr Barber’s research is predominately in design and analysis of randomised trials of new health care interventions. She led all statistical aspects of the START trial, including inputting into the design of the trial; designing the statistical analyses, including identifying and evaluating optimal methods; supervising the data preparation and analysis; and writing peer-reviewed articles. The effect of the START intervention was evaluated after 4 and 8 months ( R1, R2) , 24 months ( R3), and 6 years ( R4). Dr Barber supervised two statisticians, Mark Griffin (UCL Primary Care and Population Health) and Dr Aidan O’Keeffe (UCL Statistical Science) in analysis of the clinical data and advised the Health Economists on statistical analysis of economic outcomes ( R2, R3, R4).
Dr Barber’s underpinning research in design and analysis of trials allowed her to ensure the most appropriate and up-to-date methods were used for the START evaluation. Her analysis plans incorporated new statistical methodologies which had not previously been widely used in applied research, but which were essential to address specific complexities of the START trial design, ensuring unbiased and precise estimates of the intervention effect. In particular, she identified that modelling needed to account for the clustering of outcomes for carers receiving the intervention from the same therapists. Typically in previous trials, such clustering had been ignored, but Dr Barber’s research identified that this approach could result in inflation of type 1 errors and in false claims of important intervention effects. The START analysis was therefore carried out using a particular specification for a multilevel mixed-effects model that allowed for differential clustering in the trial arms ( R1, R2). For the 6-year evaluation, Dr Barber found that results from analyses of the longitudinal HADS-T scores could be biased due to “informative censoring” when the person with dementia was admitted to a care-home or died. Informative censoring is usually ignored in trial analyses, resulting in estimation of potentially incorrect intervention effects. To address this Dr Barber used joint mixed effects models that incorporated time until institutionalisation or death alongside the HADS-T measurements ( R4).
Analysis of HADS-T over the 8-month evaluation period showed a significant improvement in anxiety and depression for carers receiving the START intervention. For the depression sub-score, carers who participated in the TAU group were four times more likely to have clinically significant depression compared with those who received START ( R1) . The corresponding economic calculations demonstrated a high probability of cost effectiveness ( R2).
The positive clinical effect of the START intervention was sustained after 24 months, as evidenced by improved carer mood and lower anxiety levels (lower HADS-T) ( R3). START was also shown to be cost effective with respect to carer and patient outcomes, and National Institute for Health and Care Excellence (NICE) thresholds.
The most recent analysis over a 6-year period, showed that carers who participated in the START programme were five times less likely to have clinically significant depression than carers in the TAU group ( R4). Costs of care were nearly three times lower among families in the START group (GBP5,759 per patient) compared with the TAU group (GBP16,964 per patient), likely due to the improvement in family carers’ mental health and quality of life ( R4).
3. References to the research
R1. Livingston G, Barber J, Rapaport P, Knapp M, Griffin M, King D, Livingston D, Mummery C, Walker Z, Hoe J, Sampson E, Cooper C. (2013). Clinical effectiveness of a manual based coping strategy programme (START, STrAtegies for RelaTives) in promoting the mental health of carers of family members with dementia: pragmatic randomised controlled trial. BMJ; 347: f6276. doi: 10.1136/bmj.f6276
R2. Knapp M, King D, Romeo R, Schehl B, Barber J, Griffin M, Rapaport P, Livingston D, Mummery C, Walker Z, Hoe J, Sampson E, Cooper C, Livingston G. (2013). Cost effectiveness of a manual based coping strategy programme in promoting the mental health of family carers of people with dementia (the START (STrAtegies for RelaTives) study): a pragmatic randomised controlled trial. BMJ; 347: f6342. doi:10.1136/bmj.f6342
R3. Livingston G, Barber J, Rapaport P, Knapp M, Griffin M, King D, Romeo R, Livingston D, Mummery C, Walker Z, Hoe J, Cooper C. (2014). Long-term clinical and cost-effectiveness of psychological intervention for family carers of people with dementia: a single-blind, randomised, controlled trial. Lancet Psychiatry; 1(7):539-548. d oi: 10.1016/S2215-0366(14)00073-X
R4. Livingston G, Manela M, Rapaport P, Cooper C, O’Keeffe A, Knapp M, King D, Romeo R, Mummery C, Walker Z, Hoe J, Barber J. (2020.) Clinical effectiveness of START (STrAtegies for RelaTives) psychological intervention for family carers and the effects on cost of care for people with dementia: six year follow-up of a randomised controlled trial. British Journal of Psychiatry; 216(1):35-42. doi: 10.1192/bjp.2019.160
4. Details of the impact
The number of people living with dementia is rising rapidly owing to increased longevity. Two-thirds of people with dementia (approximately 567,000 in the UK) live at home, with their family providing most of their care ( S1). According to the Alzheimer Society’s estimation, more than 600,000 family members provide GBP13,900,000,000 per year of unpaid dementia care in the UK, however, 40% of the family carers have a clinical depression or anxiety, while others have substantial psychological symptoms ( S1). Family care is pivotal as it exerts a 20-fold protective effect against the risk of care home admission ( S1). Therefore, the wellbeing of family caregivers and providing them with effective support is crucial.
The usefulness of the START psychological intervention for family carers was evaluated in a well-conducted randomised trial, which relied on use of optimal statistical methodologies to ensure accurate and unbiased estimates of the intervention effect. This trial provided robust evidence of clinical and cost-effectiveness of the intervention and has subsequently influenced decisions about guidelines, policy and practice for supporting family caregivers.
Approximately 66% of trial participants continued to use the techniques they had been taught after the programme ended ( S2). The manual and associated resources to deliver the intervention are freely available and can be downloaded (in English, Urdu, Spanish and Japanese) from the UCL website ( S3). The page has been viewed approximately 30,000 times until the end of 2020 ( S4).
Changes to UK guidelines and policy on improving dementia care
The evidence of START’s effectiveness has led policy makers to cite it in national guidance and policy documents. The UK Government included START in The Prime Minister’s Challenge on Dementia 2020 (published in 2015), which set actions to improve dementia care, support and research in England ( S5). They noted that “Carers of people with dementia undoubtedly provide a vital role and we know that the availability of appropriate care and support and the quality of services has a significant bearing on whether carers feel able to take a break from their caring responsibilities” ( S5). The government recommended carers of people with dementia should be aware of and be offered the opportunity for respite, education, training, emotional and psychological support, to better enable them to cope with their caring responsibilities. To allow carers to have a life alongside caring, the guidelines recommend that more employers should have carer friendly policies and practice enabling more carers to continue working and caring. The Government also mandated that NHS England (2016-2017) should provide measurable improvements in all areas of the policy, including quality of post-diagnosis treatment and support for people with dementia and their carers ( S5).
The Chief Executive of Alzheimer’s Research UK (the country’s leading dementia research charity) acknowledged the programme’s importance: “Around 23,000,000 people in the UK – roughly a third of the population – have a close friend or family member with dementia, and it’s these unsung heroes who take on much of the strain of the condition. It’s important to find ways to support carers and protect their health, and these results suggest that the START programme can help reduce anxiety and depression for carers” ( S6).
START was evaluated in the National Institute of Clinical Excellence (NICE) guidelines on Dementia (NG97 Assessment, management and support for people living with dementia and their carers; June 2018). The NG97 evidence committee noted, “The evidence from the 2014 Livingston HTA report which demonstrated that successful non-pharmacological interventions for managing non-cognitive symptoms could be cost saving, due to the reductions in subsequent treatment costs for those receiving early interventions. The committee agreed that this recent HTA report represented the best quality economic evidence available and supported the recommendation for the first line use of non-pharmacological management” ( S7). Whilst the document recommended a variety of approaches for carer support, such as START or a similar intervention, the committee agreed that “the topics covered by START are a good representation of the topics that should be covered in this type of intervention” for carers ( S7).
Improving mental health of dementia patients’ carers and support workers
The publication of the START intervention has generated a lot of interest and enthusiasm from NHS trusts for its adoption and it is now being delivered in one third of London memory clinics.
The Alzheimer’s Society (the UK’s leading dementia support charity) provided funding for dissemination of START, allowing training of 134 clinical psychologists and 39 admiral nurses in 9 UK locations from October 2014 to September 2015. Since then, the UCL team has provided training for 30 staff members in another London trust (NELFT) and others are being trained by the members of the dissemination groups. These trained professionals then cascaded training to others in their area, and this resulted in START being delivered locally to 136 carers across 11 service areas in 2016. A survey carried out in July 2018 by the UCL team indicated that START is being used by at least 24 services over 12 NHS trusts, with approximately 192 carers having received the intervention in 2017 ( S8) . Individuals who completed the training reported better understanding of the condition and how it can cause challenging behaviour. This understanding made it easier for them to cope with psychological distress and improved their wellbeing, with a related improvement in their ability to provide care: “Yesterday I had the feeling of happiness I haven’t had in a long time. I suddenly felt positive and ‘able” ( S8). This is echoed by voices from the dementia support workers, START facilitators and managers at the Alzheimer’s Society:“The work I got to do with START was really meaningful. Personally, I feel that START gave me the opportunity to work closely with carers, building a relationship that I normally wouldn’t get to, helping them to deal with the everyday practical sides of caring”;
“I really enjoyed making an actual difference to people’s lives, literally (…) the feedback from the carers is that it does work (…) it’s nice to know that there is a tool that can help carers that are really struggling”;
“That day is hard, seeing the consultant, trying to get ready and it’s a heavy day. Whereas with this, it’s in someone’s comfortable space and it’s at their own time and it’s looking at strategies (…) The things that maybe aren’t discussed with GPs or even a support worker on a home visit. This really opens up quite a lot more, it helps with exploring a lot more detail into what’s happening in the home and I think that’s really good”;
“I felt like it really highlighted and made my job more meaningful, because often I would come away thinking I’ve not done anything other than sat with a family for an hour and a half and talked about what dementia is (…) START actually gave them that one to one, especially for the carer [to] actually help the person with dementia in the long run” ( S8).
Worldwide implementation of the START intervention
The START intervention has also been adopted by the international community. An online video conferencing version of START was developed in Australia to enable delivery of the intervention from Melbourne and Perth to people in remote communities . By November 2018 , 4 therapists had completed extensive training provided by UCL researchers and 28 carers had already completed the 8-week programme ( S9). Work in 2018-20 enabled delivery to the South Asian community (Urdu translation) . Translation of the START manual into Japanese (2019) enabled 14 people to receive the intervention in an ongoing study in Japan, with 27 receiving training by February 2020 ( S9). A START pilot project was conducted in Hong Kong, where 13 family carers have received training since the manual was translated into Chinese in 2017. Translations into Tamil and Hindi have been trialled successfully and START is now being delivered remotely in India (Chennai, Mysore and New Dehli) ( S10) . In Spain it was trialled in 4 people after consultation about the translation. Unfortunately, plans for the regional authorities to begin implementation in Northern Spain have been delayed by the COVID pandemic ( S10).
START has been adapted (in collaboration with UCL) for delivery in several different contexts and populations. The UCL Institute of Neurology adapted and trialled START for patients with Parkinson’s Disease dementia, and it has been adapted to Lewy Body Dementia (with training already delivered to carers through third sector partners). Furthermore, the success of the START intervention built a team and a method that led to funding further research programmes focused on dementia. These include the DREAMS-START intervention involving a similar style of intervention to improve sleep in people with dementia living at home and a project to improve quality of life in people with dementia.
5. Sources to corroborate the impact
S1. Report “Dementia – the true cost: Fixing the care crisis” (May 2018) and article Dementia Tax article published on Alzheimer’s Society website corroborate the importance of care provided by family members to dementia patients. Article “Predictors of institutionalisation in people with dementia” published in Journal of Neurology, Neurosurgery and Psychiatry (2003) corroborates the number of dementia patients and cost of care
S2. Evaluation of START intervention published in BMJ Open corroborates the continued use of the intervention after the end of the therapy.
S3. START resources website corroborates availability of START training in different languages.
S4. Supporting correspondence with numbers of START resources’ website visits corroborates number provided.
S5. Policy Paper “Prime Ministers Challenge on Dementia 2020” (21/02/2015) corroborates statement provided, government’s recommendations to improve dementia care and support for family carers.
S6. News post on Alzheimer’s Research UK website (16/07/2014) corroborates Chief’s Executive statement on START programme.
S7. National Institute for Health and Care Excellence guidelines on Dementia (page 347) (June 2018) corroborates recommendation of START programme for the first line use of non-pharmacological management for managing non-cognitive symptoms in carers.
S8. Results of the survey on training and implementation of START conducted by UCL Division of Psychiatry (July 2018) corroborates numbers of trainings, trained carers and the intervention implementation; Supporting statements from carers and Dementia Support Workers/START facilitators, and Managers at the Alzheimer’s Society corroborate statements provided.
S9. Article (23/04/2020) published in Dementia journal corroborates adaptation of the START program in Japan; Project summary “Strategies for relatives (START) Online” (November 2018) corroborates adaptation of the START program in Australia.
S10. Supporting statements from Clinical Psychologist (01/04/2019) and Clinical Neurophysiologist (09/03/2020) corroborate adaptation of the START program in Hong Kong and Spain; Interview with Consultant Psychiatrist (11/12/2019) published on Reddif website corroborates adaptation of the START program in India.
- Submitting institution
- University College London
- Unit of assessment
- 10 - Mathematical Sciences
- Summary impact type
- Environmental
- Is this case study continued from a case study submitted in 2014?
- Yes
1. Summary of the impact
Research conducted in UCL’s Department of Statistical Science developed a state-of-the-art software package for generating synthetic weather sequences. The software has been successfully adapted by engineers and policymakers internationally, in applications such as flood risk and water resource management. It has contributed to increased commerce performance at the UK company, Mott Macdonald, with contracts worth over USD500,000, and on infrastructure development in Jamaica to benefit approximately 150,000 people at a cost of approximately USD35,000,000. Additionally, the close working relationship between UCL and Mott Macdonald contributed to professional development of consultants at Mott Macdonald.
2. Underpinning research
Research led by Richard Chandler at UCL has developed statistical methodology for constructing and simulating from models for daily weather time series. The tools developed can be used at multiple locations, incorporating potential non-stationarities suitable for use in studies of climate impacts and adaptation where a detailed representation of local weather is required. The theory is implemented in a software tool, R-package version of the Generalised Linear Model for daily Climate time series (RGLIMCLIM).
Studies of future climate impacts and adaptation are invariably based around climate projections obtained by running global climate models (GCMs) under specified scenarios of socio-economic development and greenhouse gas emissions. However, GCM outputs are too coarse to represent the local-scale weather features that control some phenomena and must therefore be downscaled to provide application-relevant information. The present research relates to methodology for developing “weather generators”: these are statistical models that exploit relationships between large-scale climate and local-scale weather, to enable the generation of local-scale sequences that are consistent with large-scale information from GCMs. Although weather generators have been used since the early 1980s, the demands of modern applications, particularly in data-sparse regions of the world, can be challenging. The RGLIMCLIM methodology aims to: 1) produce daily sequences with realistic spatial, temporal and inter-variable dependence structures over a range of space and time scales; 2) capture realistic levels of unstructured variability associated with phenomena such as extremes; 3) represent systematic variation over space and time, including under scenarios of climate change; 4) generate sequences at locations for which no data are available; and 5) cope with missing values in the historical records used for model calibration. Few other modern weather generators have this range of capability.
The RGLIMCLIM methodology is based around generalised linear models (GLMs). Although GLMs are a cornerstone of modern statistical practice, adapting them to the context of weather generation poses challenges. The main ones are (a) representing the complex structures in weather sequences (b) handling spatial and temporal dependence when carrying out estimation and inference for large spatiotemporal data sets (c) providing efficient algorithms for simulating dependent sequences at multiple spatial locations, particularly where many of the variables involved (eg precipitation) have highly non-Gaussian distributions at a daily time scale. These challenges have been addressed in a series of papers, for example:
Representing complex structures: early publications demonstrated that common features of daily weather data can be represented tractably within the GLM framework using flexible basis functions and, in particular, interactions between covariates representing seasonal and regional variation along with temporal autocorrelation ( R1). More recent work has tackled the challenges of multivariate space-time modelling when the individual variables potentially have very different distributional forms ( R2).
Handling spatial and temporal dependence: most of the relevant research on statistical inference for large space-time data sets is described in ( R3) and ( R4). The first of these papers shows that temporal dependence can be handled in very general situations by including appropriate lagged terms in the models, while the second shows how to adjust standard “independence” estimation and inference techniques, including likelihood ratio tests, for spatial dependence.
Efficient simulation algorithms: the main challenges here arise in highly non-Gaussian situations, in particular for discrete quantities such as precipitation occurrence (which is binary). Throughout the research programme, efforts have focused on finding algorithms and models for which it is feasible and tractable to sample from the conditional distribution at some sites given observations at others. This provides the opportunity to use imputation to characterise uncertainties associated with missing data ( R5, R6).
The UCL research programme led by Richard Chandler, has spanned more than 20 years (Research Associate 1994-1997; Lecturer in Statistics 1997-2004; Senior Lecturer in Statistics 2004-2013; Professor of Statistics 2013) working with postdoctoral researchers Zhongwei Yan (2000-2001), Chi Yang (2002-2005) and Chiara Ambrosino (2011-2013).
3. References to the research
R1. Yan, Z., Bate, S., Chandler, R.E., Isham, V. and Wheater, H. (2002). An analysis of daily maximum windspeed in northwestern Europe using generalized linear models. J. Climate 15(15): 2073-2088. doi:10.1175/1520-0442(2002)015<2073:AAODMW>2.0.CO;2
R2. Chandler, R.E. (2020). Multisite, multivariate weather generation based on generalised linear models. Environmental Modelling and Software 134, 104867. doi:10.1016/j.envsoft.2020.104867.
R3. Chandler, R.E., Isham, V.S., Bellone, E., Yang, C. and Northrop, P.J. (2007). Space-time modelling of rainfall for continuous simulation. Chapter 5 in Finkenstadt, B., Held, L., Isham, V.S. (ed.) Statistical methods for spatial-temporal systems. Boca Raton: CRC Press. Available on request.
R4. Chandler, R.E. and Bate, S. (2007). Inference for clustered data using the independence log-likelihood. Biometrika 94: 167-183. doi:10.1093/biomet/asm015.
R5. Yang, C., Chandler, R.E., Isham, V. and Wheater, H.S. (2005). Spatial-temporal rainfall simulation using Generalized Linear Models. Water Resources Research 41. doi:10.1029/2004WR003739.
R6. Ambrosino, C., Chandler, R.E., and Todd M.C. (2014). Rainfall-derived growing season characteristics for agricultural impact assessments in South Africa. Theoretical and Applied Climatology, 115, pp.411-426. doi:10.1007/s00704-013-0896-y.
4. Details of the impact
The 13th Sustainable Development Goal of the United Nations is “take urgent action to combat climate change and its impacts”. To assess the effects of potential future climate changes, and to evaluate the effectiveness of proposed strategies for alleviating them, it is becoming increasingly common to build computer simulators of the systems of interest, and to generate synthetic weather sequences to drive these simulators and determine the system response. The underpinning research provided a tool for generating such sequences, in cases where detailed representations of the underlying weather structure are required. This is fundamental in hydrological applications where the response of a system can be sensitive to both the quantity and timing of precipitation as well as other variables that control evapotranspiration rates. The RGLIMCLIM software package addresses these needs, encourages a structured approach to weather generator construction and proves to be efficient and flexible. In Australia, this research has been used to inform climate change adaptation strategies and analyse rainfall trends. The analysis result supported the decision of the Western Australia Department of Water to double the capacity of the Binningup seawater desalination plant to 100,000,000,000 litres per year, at a cost of around AUD450,000,000 ( S1). The desalination plant continues to operate through this REF period at the increased capacity fulfilling approximately 30% of Perth's water supply requirements ( S2).
Impact on productivity and performance at Mott Macdonald and population of Jamaica
Mott Macdonald is a global engineering, management and development consultancy focused on guiding its clients through many of the planet’s most intricate challenges. During the submission period, the company has won USD500,000 worth of contracts for three international projects in which the RGLIMCLIM software played a fundamental role in climate vulnerability assessment and in capturing climate change impacts; and has carried out a GBP44,000 pilot project for Anglian Water, successfully demonstrating that RGLIMCLIM can improve on standard industry practice in simulating changes in the frequency, duration and magnitude of droughts ( S3).
The international contracts are for projects in Jamaica, Barbados and Sierra Leone. These contracts benefit the consultants in terms of earned fees, and also the communities and civil agencies in regions where projects are being executed. The Jamaica project completed in 2019; the others are ongoing, due to delays that are partly due to COVID-19 which has prevented travel for fieldwork and site visits. In Jamaica, the Essex Valley Climate Change Vulnerability Assessment was commissioned in 2019 by the Ministry of Industry, Commerce, Agriculture and Fisheries as part of the Essex Valley Agricultural Development Project (EVADP). The EVDAP aims to enhance the production and productivity of farmers in an area of around 1,000 hectares, in a socially inclusive, gender equitable and climate sensitive manner: it benefits approximately 150,000 people ( S3, S4). The Government of Jamaica received an amount equivalent to GBP35,515,000 from the United Kingdom Caribbean Infrastructure Partnership Fund (UKCIF) towards the cost of this project. Mott Macdonald was commissioned to perform a detailed hydrogeological characterisation of the water supply aquifer, as well a complete climate vulnerability assessment (CVA) of the different assets of the irrigation scheme (renewable power plant, boreholes, mains and secondary pipes, hydrants and roads). For its work on the CVA Mott Macdonald received USD150,000. The challenges for this project recognised by Mott Macdonald included:
“Standard” climate models were unable to provide direct information at a sufficiently fine scale to assess changes in the region’s aquifer recharge or flood risk, both of which are subject to local controls due to shallow soils and limestone geology.
The rainfall record in the study area itself (of only three years’ duration) was very limited, so a defensible tool was needed for extracting relevant information from longer records in neighbouring catchments.
Based on their knowledge of industry practice in this kind of project, Mott Macdonald identified that most “standard” approaches would not be suitable but that RGLIMCLIM provided the necessary capability. RGLIMCLIM was therefore used as part of the climate change impact assessment on rainfall, to feed the groundwater recharge model. It allowed a weather generator to be developed quickly, with diagnostic checks to give confidence that the outputs provided a defensible characterisation of future precipitation patterns. The use of RGLIMCLIM enabled reliable estimation of aquifer recharge, which would not have been possible otherwise. The results of the CVA, which was completed in 2019, highlighted the need for additional sources of water and informed the selection of crops in the subsequent EVADP ( S3).
Knowledge exchange and capacity building for commerce
RGLIMCLIM is an open-source software, provided as a library to be run in the R programming environment taking advantage of R’s intuitive interface and graphical capabilities. However, the effective use of its sophisticated methodology can be challenging for those without advanced statistical training. This inevitably limits its uptake in industries where there are established industry-wide practices and resistance to investing time in high-level technical training. The partnership with Mott Macdonald has demonstrate the potential added value from such an investment. The strategy for further building impact from this research has been to develop capacity within Mott Macdonald, which they consider gives them a competitive advantage when tendering for contracts ( S3). The capacity development is being done through short consultancy contributions. Specifically, in the Jamaica project, the weather generator was developed by Professor Chandler, who provided a documented step-by-step approach to the entire process that could be followed in subsequent projects. This has been used as a template by Mott Macdonald staff, with occasional input from Professor Chandler where necessary, when developing weather generators using RGLIMCLIM in other applications.
5. Sources to corroborate the impact
S1. ABC News article about the expansion of the Binningup plant (01/082011) corroborates the expansion to 100,000,000,000 litres per year and the cost of the expansion.
S2. Western Australia Water Corporation desalination website corroborates that the Binningup plant produces almost one third of Perth’s water supply.
S3. Supporting letters (dated 22/10/2019 and 18/02/2021) from Principal Hydrologist at Mott Macdonald corroborate the advantages, impact of RGLIMCLIM and a commercial compensation to Mott Macdonald.
S4. The Caribbean Development Bank procurement notice corroborates the financing of the Essex Valley Agriculture Development Project in Jamaica.