An Overview of Factors Associated with Adherence and Dropout to Ecological Momentary Assessments in Depression
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Otros documentos de la autoría: Colombo, Desirée; Cipresso, Pietro; Fernández-Álvarez, Javier; Díaz-García, Amanda; Riva, Giuseppe; Botella, Cristina
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Título
An Overview of Factors Associated with Adherence and Dropout to Ecological Momentary Assessments in DepressionAutoría
Fecha de publicación
2018Editor
International Association of CyberPsychology, Training, and Rehabilitation (iACToR)ISSN
1554-8716Cita bibliográfica
COLOMBO, Desirée, et al. An Overview of Factors Associated with Adherence and Dropout to Ecological Momentary Assessments in Depression. Annual Review of Cybertherapy and Telemedicine, 2018, vol. 16, p. 11-17Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.arctt.info/volume-16-summer-2018Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The use of technology-based Ecological Momentary Assessments
(EMAs) allows to repeatedly assess patients during daily life, in naturalistic
settings and in precise moments of the day. To date, EMAs have been broad ... [+]
The use of technology-based Ecological Momentary Assessments
(EMAs) allows to repeatedly assess patients during daily life, in naturalistic
settings and in precise moments of the day. To date, EMAs have been broadly
adopted for the investigation of Major Depressive Disorder (MDD). Nevertheless,
adherence still represents a clinical challenge, as depressed patients may be less
prone to regularly complete daily reports. Through a systematic narrative review,
we qualitatively investigated factors affecting adherence and dropout of MDD
patients to EMA protocols. The mean adherence rate across studies was generally
encouraging (mean: 80.66%, SD 11.71%), and was higher in studies collecting
self-reports by means of smartphones, prompting patients less than 8 times per day
and using a prefixed sampling method. Dropouts were mainly related to technical
problems or under-threshold number of collected answers, often occurring in
studies collecting data by means of Personal Digital Assistants (PDAs). The
implications of these results are discussed. [-]
Publicado en
Annual Review of Cybertherapy and Telemedicine, 2018, vol. 16Derechos de acceso
info:eu-repo/semantics/openAccess
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