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A Digital Intervention for Primary Care Practitioners to Support Antidepressant Discontinuation (Advisor for Health
Hannah Bowers1, Tony Kendrick1, Nadja van Ginneken2
1Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, United Kingdom.
A new digital tool, ADvisor HP, helps health professionals support patients discontinuing long-term antidepressant use. This intervention aims to improve appropriate medication discontinuation in primary care settings.
Area of Science:
- Digital health interventions
- Primary care medicine
- Pharmacotherapy
Background:
- Antidepressant use has risen over 30 years, with many patients remaining on medication long-term.
- Long-term antidepressant treatment is often not evidence-based and increases side effect risks.
- Current methods to prompt medication review do not effectively support appropriate discontinuation by general practitioners (GPs).
Purpose of the Study:
- To develop a digital intervention (ADvisor HP) to aid health professionals in assisting patients with discontinuing inappropriate long-term antidepressant use.
- To integrate this tool within a broader intervention package, including patient-focused digital support and telephone assistance.
Main Methods:
- Developed a prototype digital intervention (ADvisor HP) using a theory- and evidence-based, person-centered approach.
- Informed development through literature reviews, qualitative synthesis, and in-depth qualitative studies.
- Optimized the intervention via think-aloud qualitative interviews with 19 health professionals.
Main Results:
- Health professionals found ADvisor HP useful and accessible, providing valuable information.
- Identified needs for enhanced guidance on drug tapering schedules and clarity on initiating discontinuation discussions.
- Practitioners emphasized the need for easily accessible information formats due to time constraints.
Conclusions:
- ADvisor HP is a theory- and evidence-based digital tool developed to support antidepressant discontinuation.
- Optimization suggests potential utility for practitioners in reducing long-term antidepressant use.
- Further randomized controlled trials are necessary to evaluate feasibility, effectiveness, and cost-effectiveness.
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