Interaction and engagement with an anxiety management app: Analysis using large-Scale behavioral data
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 858077
- Type
- D - Journal article
- DOI
-
10.2196/mental.9235
- Title of journal
- JMIR Mental Health
- Article number
- e58
- First page
- -
- Volume
- 5
- Issue
- 4
- ISSN
- 1438-8871
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
http://dx.doi.org/10.2196/mental.9235
- 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
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Bringing together authors from counselling psychology, user experience and data science, this is the largest published study of behavioural engagement with an e-mental health app, using aggregated data from over 100,000 users. It shows how people engage in practice, illustrating a long-tail of usage and a core of long-term app users. It further illustrates the sustainable nature of peer-to-peer mental health support achievable with digital tools.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
