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The acceptability of real‐time health monitoring among community participants with depression: A systematic review and meta‐analysis of the literature
Author(s) -
Girolamo Giovanni,
Barattieri di San Pietro Chiara,
Bulgari Viola,
Dagani Jessica,
Ferrari Clarissa,
Hotopf Matthew,
Ian Giuseppe,
Macis Ambra,
Matcham Faith,
MyinGermeys Inez,
Rintala Aki,
Simblett Sara,
Wykes Til,
Zarbo Cristina
Publication year - 2020
Publication title -
depression and anxiety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.634
H-Index - 129
eISSN - 1520-6394
pISSN - 1091-4269
DOI - 10.1002/da.23023
Subject(s) - major depressive disorder , dropout (neural networks) , systematic review , meta analysis , affect (linguistics) , depression (economics) , psychology , mental health , medline , clinical psychology , medicine , psychiatry , computer science , cognition , communication , machine learning , political science , law , economics , macroeconomics
Background The application of experience sampling method/ecological momentary assessment (ESM/EMA) methods to individuals with major depressive disorder (MDD) seems promising, but evidence about their acceptability is still unclear. The aim of this systematic review and meta‐analysis (registration number CRD42017060438) was to investigate the acceptability of ESM/EMA techniques for health monitoring in patients with MDD, by examining the dropout rate and related‐reasons, and to explore the effects of individual, methodological, and technical features on dropping out. Method According to PRISMA guidelines, after leading a systematic search on major electronic databases, a structured process for selecting and collecting data was followed. Results A total of 19 studies were included in the analyses. From results, it emerged a dropout rate of 3.6%. Our findings showed that the use of paper and pencil tools in combination with electronic devices, the time‐based sampling method, and not providing monetary incentives significantly increase the dropout rate of patients with MDD during ESM/EMA monitoring. Age, gender, depression severity, duration of monitoring, number of assessments each day, and number of questions did not affect dropout rate. Conclusions The results of this systematic review may assist clinicians and researchers in planning, implementing, or evaluating the use of ESM/EMA to assess the health status of community‐based individuals with MDD.