ArticleThe British journal of clinical psychology2025
Relevance of ecological momentary assessment for medication adherence in clinical settings: A precision psychiatry approach.
Article in The British journal of clinical psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Real-time experience: A systematic review of ecological momentary assessments of everyday functioning in major depressive disorder.Australian occupational therapy journal · 2026Pooled it
- Digital and Immersive Technologies for Rehabilitation in Complex Psychosis: State of the Art and Future Directions.Medicina (Kaunas, Lithuania) · 2026Review
- Relevance of ecological momentary assessment for medication adherence in clinical settings: A precision psychiatry approach.The British journal of clinical psychology · 2025Article
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9 authors.
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Abstract
backgroundMedication non-adherence is a leading cause of treatment failure in psychiatric populations. However, current studies highlight the lack of methodological guidance on medication assessments. Ecological Momentary Assessment (EMA), using smartphone-based evaluations, shows promise for real-time monitoring in everyday settings.
aimsThis study evaluated EMA's effectiveness in assessing medication adherence in patients with schizophrenia, depression, and substance use disorders (SUD), covering various treatment regimens. MATERIALS &
methodsA total of 133 participants (27 with schizophrenia, 20 with depression, 44 with SUDs, and 42 healthy controls) completed EMA via study-provided smartphones five times daily over 1 week. Treatment regimens, categorized by mono vs. polytherapy and single vs. multiple daily doses, were documented. EMA adherence was calculated from the completion rate of the assessments, while medication adherence was assessed daily for patients. Both mean medication adherence and adherence variation over time were analysed by diagnosis and treatment regimen.
resultsAll groups demonstrated high mean EMA and medication adherence, with minor variations across treatment types. Importantly, patients showed improved adherence over time, independently of diagnosis or regimen. DISCUSSION: These findings indicate EMA's potential as an effective method for capturing medication adherence in psychiatric populations.
conclusionThe approach's capacity for real-time, context-sensitive data collection could reveal adherence patterns and changes not detectable by conventional methods, offering valuable insights for clinical practice.
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