Valentine Chirokoff, Arnaud Tessier, Fuschia Serre, Maud Dupuy, Marc Auriacombe, Sandra Chanraud, Sylvie Berthoz, Melina Fatseas, David Misdrahi
{"title":"临床环境中对药物依从性的生态瞬时评估的相关性：一种精确的精神病学方法。","authors":"Valentine Chirokoff, Arnaud Tessier, Fuschia Serre, Maud Dupuy, Marc Auriacombe, Sandra Chanraud, Sylvie Berthoz, Melina Fatseas, David Misdrahi","doi":"10.1111/bjc.12532","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Medication 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.</p>\n </section>\n \n <section>\n \n <h3> Aims</h3>\n \n <p>This study evaluated EMA's effectiveness in assessing medication adherence in patients with schizophrenia, depression, and substance use disorders (SUD), covering various treatment regimens.</p>\n </section>\n \n <section>\n \n <h3> Materials & Methods</h3>\n \n <p>A 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>All 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.</p>\n </section>\n \n <section>\n \n <h3> Discussion</h3>\n \n <p>These findings indicate EMA's potential as an effective method for capturing medication adherence in psychiatric populations.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The 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.</p>\n </section>\n </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"64 3","pages":"692-701"},"PeriodicalIF":3.1000,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12334975/pdf/","citationCount":"0","resultStr":"{\"title\":\"Relevance of ecological momentary assessment for medication adherence in clinical settings: A precision psychiatry approach\",\"authors\":\"Valentine Chirokoff, Arnaud Tessier, Fuschia Serre, Maud Dupuy, Marc Auriacombe, Sandra Chanraud, Sylvie Berthoz, Melina Fatseas, David Misdrahi\",\"doi\":\"10.1111/bjc.12532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Medication 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>This study evaluated EMA's effectiveness in assessing medication adherence in patients with schizophrenia, depression, and substance use disorders (SUD), covering various treatment regimens.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Materials & Methods</h3>\\n \\n <p>A 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>All groups demonstrated high mean EMA and medication adherence, with minor variations across treatment types. 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Relevance of ecological momentary assessment for medication adherence in clinical settings: A precision psychiatry approach
Background
Medication 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.
Aims
This study evaluated EMA's effectiveness in assessing medication adherence in patients with schizophrenia, depression, and substance use disorders (SUD), covering various treatment regimens.
Materials & Methods
A 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.
Results
All 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.
Conclusion
The 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.
期刊介绍：
The British Journal of Clinical Psychology publishes original research, both empirical and theoretical, on all aspects of clinical psychology: - clinical and abnormal psychology featuring descriptive or experimental studies - aetiology, assessment and treatment of the whole range of psychological disorders irrespective of age group and setting - biological influences on individual behaviour - studies of psychological interventions and treatment on individuals, dyads, families and groups
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