Personalised computerised feedback in e-mental health
Abstract
BACKGROUND: Personalised feedback constitutes an important component of E- and M-mental health applications (E = electronic and M = mobile computing and communication technologies) for disease prevention and management. It can be used to increase motivation, highlight risks, change attitudes and counterbalance the lack of personal contact in computerised health interventions. Research suggests that compared with targeted or generic feedback, personalised feedback is a more effective intervention component. AIMS: To discuss challenges and options for the generation and delivery of personalised feedback in E- and M-mental health interventions. Suggestions for the development of normative, summative and ipsative feedback are provided. RESULTS: We demonstrate how information from (multiple) assessments and/or data from comparable samples can be integrated into statistically supported and user-friendly feedback without including test scores. CONCLUSION: Proposals made in this paper need to be the subject of empirical studies and should be tested in terms of their feasibility, acceptability and efficacy.
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NFB can facilitate learning processes, increase patient motivation, and modify behaviour.
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- Authors
- Musiat, P., Hoffmann, L., & Schmidt, U.
- Affiliations
- King's College London (GB)
- Humboldt-Universität zu Berlin (DE)
- Corresponding author
- Musiat, Peter
- Venue
- Journal of Mental Health
- Publisher
- Informa UK Limited
- Published
- 2012-02-08
- Volume
- 21
- Issue
- 4
- Pages
- 346-354
- ISSN
- 0963-8237 (ISSN-L)
- 1360-0567
- OpenAlex
- W2147288761
- Cited by
- 47
- References
- 27
- Citations by year
- 2025: 4 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 8 · 2018: 5 · 2017: 1 · 2016: 5 · 2015: 3 · 2014: 3 · 2013: 1 · 2012: 4
- FWCI
- 4.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Mental Health (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- personalized feedback, e-mental health, mobile mental health, normative feedback, summative feedback, feedback generation, feedback delivery, motivation, attitude change, disease prevention and management
- MeSH terms
- Feedback, Humans, Mental Health Services, Reference Values, Reinforcement, Psychology, Therapy, Computer-Assisted, Models, Statistical, Telemedicine
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