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The GET READY relapse prevention programme for anxiety and depression: a mixed-methods study protocol.

Esther Krijnen-de Bruin1,2,3, Anna D T Muntingh4,5, Adriaan W Hoogendoorn4,5

  • 1Department of Health, Sports & Welfare, Cluster Nursing, Inholland University of Applied Sciences, Research Group Mental Health Nursing, Amsterdam, The Netherlands. e.krijnen@ggzingeest.nl.

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|February 13, 2019
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Summary

This study introduces the GET READY program, combining e-health and professional support for anxiety and depression relapse prevention. It evaluates patient engagement, symptom changes, and implementation factors to refine the program for better long-term mental health management.

Keywords:
AnxietyDepressionE-healthMixed-methods researchRecurrenceRelapse preventionSelf-managementStudy protocol

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Area of Science:

  • Mental Health
  • Digital Health
  • Psychiatry

Background:

  • Anxiety and depressive disorders frequently recur, necessitating effective self-management strategies.
  • Current relapse prevention programs often lack a focus on enhancing self-management competencies.
  • E-health interventions integrated with professional support show promise for managing chronic mental health conditions.

Purpose of the Study:

  • To develop, implement, and evaluate the GET READY (Guided E-healTh for RElapse prevention in Anxiety and Depression) program.
  • To assess patient engagement with the e-health platform and its impact on symptom trajectories.
  • To identify barriers and facilitators to program implementation and gauge patient satisfaction.

Main Methods:

  • A mixed-methods observational cohort study design.
  • Participants receive an e-health platform and regular contact with a general practice mental health professional.
  • Data collection includes online questionnaires at multiple time points and semi-structured interviews with patients and professionals.

Main Results:

  • The study aims to provide insights into program usage and its correlation with symptom changes.
  • It will examine implementation facilitators and barriers from both patient and provider perspectives.
  • Patient satisfaction with the integrated e-health and professional support model will be assessed.

Conclusions:

  • The findings will inform adaptations to the relapse prevention program to better meet user needs.
  • Successful implementation and positive user feedback could pave the way for a randomized controlled trial to test efficacy.
  • This research contributes to the development of accessible and effective digital mental health solutions for long-term condition management.