Cited by 85Digital Mental Health InterventionsMental Health Research TopicsMobile Health and mHealth Applications

Smartphone-based ecological momentary assessment (EMA) in psychiatric patients and student controls: a real-world feasibility study

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Porras-Segovia, Alejandro, Molina-Madueño, Rosa María, Berrouiguet, Sofian, López-Castroman, Jorge, Barrigón, Maria Luisa, Pérez-Rodríguez, María Sandra, Marco, José Heliodoro, Díaz-Oliván, Isaac +4 more·2020·Journal of Affective Disorders

Abstract

Smartphone-based ecological momentary assessment (EMA) is a promising methodology for mental health research. The objective of this study is to determine the feasibility of smartphone-based active and passive EMA in psychiatric outpatients and student controls. Two smartphone applications —MEmind and eB2— were developed for behavioral active and passive monitoring. The applications were tested in psychiatric patients with a history of suicidal thoughts and/or behaviors (STB), psychiatric patients without a history of STB, and student controls. Main outcome was feasibility, measured as response to recruitment, retention, and EMA compliance. Secondary outcomes were patterns of smartphone usage. Response rate was 87.3% in patients with a history of STB, 85.1% in patients without a history of STB, and 75.0% in student controls. 457 participants installed the MEmind app (120 patients with a history of STB and 337 controls) and 1,708 installed the eB2 app (139 patients with a history of STB, 1,224 patients with no history of STB and 346 controls). For the MEmind app, participants were followed-up for a median of 49.5, resulting in 22,622 person-days. For the eB2 application, participants were followed-up for a median of 48.9 days, resulting in 83,521 person-days. EMA compliance rate was 65.00% in suicidal patients and 75.21% in student controls. At the end of the follow-up, over 60% of participants remained in the study. Cases and controls were not matched by age and sex. Cases were patients who were receiving adequate psychopharmacological treatment and attending their appointments, which may result in an overstatement of clinical compliance. Smartphone-based active and passive monitoring are feasible methods in psychiatric patients in real-world settings. The development of applications with friendly interfaces and directly useful features can help increase engagement without using incentives. The MEmind and eB2 applications are promising clinical tools that could contribute to the management of mental disorders. In the near future, these applications could serve as risk monitoring devices in the clinical practice.

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Crossref · 10.1016/j.jad.2020.05.067

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Authors
Porras-Segovia, A., Molina-Madueño, R. M., Berrouiguet, S., López-Castroman, J., Barrigón, M. L., Pérez-Rodríguez, M. S., Marco, J. H., Díaz-Oliván, I., de León, S., Courtet, P., Artés-Rodríguez, A., & Baca-García, E.
Affiliations
  • Centre Hospitalier Régional Universitaire de Brest (FR)
  • Universitat de València (ES)
  • Instituto de Investigación Sanitaria Fundación Jiménez Díaz (ES)
  • Université de Montpellier (FR)
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2020-09
Volume
274
Pages
733-741
ISSN
0165-0327 (ISSN-L)
OpenAlex
W3032703209
Cited by
85
References
55
Citations by year
2026: 10 · 2025: 13 · 2024: 11 · 2023: 12 · 2022: 16 · 2021: 18 · 2020: 5
FWCI
11.55
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (acceptedVersion, other-oa)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by-nc)
  • Repository of Digital Objects for Teaching Research and Culture (University of Valencia) (submittedVersion, cc-by-nc)
  • RUIdeRA - Institutional University Repository (University of Castilla-La Mancha) (submittedVersion)
Funders
American Foundation for Suicide Prevention
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
ecological momentary assessment, mobile application, psychiatric outpatients, suicidal ideation, suicidal behavior, passive monitoring, active monitoring, student retention, smartphone usage patterns, mental health monitoring, risk monitoring
MeSH terms
Smartphone, Ecological Momentary Assessment, Feasibility Studies, Humans, Students, Mobile Applications

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