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Personalised computerised feedback in E-mental health.

Peter Musiat1, Lars Hoffmann, Ulrike Schmidt

  • 1King's College London, Institute of Psychiatry, Section of Eating Disorders, PO-Box 059, De Crespigny Park, London SE15 3RH, UK. peter.musiat@kcl.ac.uk

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Summary

Personalised feedback in electronic and mobile (E- and M-) mental health interventions enhances user engagement and outcomes. This study explores effective methods for generating and delivering this feedback, improving digital health tools.

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Area of Science:

  • Digital Health
  • Mental Healthcare Technology
  • Behavioral Science

Background:

  • Personalised feedback is crucial for E- and M-mental health applications in disease prevention and management.
  • It enhances motivation, risk awareness, and attitude change, compensating for the lack of in-person contact.
  • Personalised feedback is more effective than generic or targeted feedback in digital health interventions.

Purpose of the Study:

  • To address challenges and present options for creating and delivering personalised feedback within E- and M-mental health interventions.
  • To offer guidance on developing normative, summative, and ipsative feedback mechanisms.
  • To improve the efficacy of digital mental health tools through tailored user feedback.

Main Methods:

  • Integrating data from multiple assessments and comparable samples.
  • Developing statistically sound and user-friendly feedback generation methods.
  • Focusing on feedback delivery without relying on explicit test scores.

Main Results:

  • Demonstrated methods for creating integrated, statistically supported feedback.
  • User-friendly feedback can be generated without including raw test scores.
  • Effective strategies for incorporating diverse data sources into feedback.

Conclusions:

  • The proposed methods for feedback generation and delivery require empirical validation.
  • Future research should assess the feasibility, acceptability, and efficacy of these approaches.
  • Further studies are needed to confirm the impact of personalised feedback in E- and M-mental health.