Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal observational study
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13963444
- Type
- D - Journal article
- DOI
-
10.1136/bmjqs-2018-008043
- Title of journal
- BMJ Quality and Safety
- Article number
- -
- First page
- 609
- Volume
- 28
- Issue
- -
- ISSN
- 2044-5415
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
8
- Research group(s)
-
A - Centre for Healthcare Modelling and Informatics
- Citation count
- 52
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- One of our outputs applying our data science skills to the development of the NHS-mandated National Early Warning Score (NEWS) and its evaluation. This paper was the first in the world to use objective patient level data to explore the impact on risk of patient death from increasing levels of nursing support workers on hospital wards. Other studies had used subjective or cross-sectional hospital level data for patient outcomes and staffing levels. Frequently cited in studies of nurse staffing.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -