Participant retention in an automated online monthly depression rescreening program: Patterns and predictors

Internet-based mental health resources often suffer from low engagement and retention. An increased understanding of engagement and attrition is needed to realize the potential of such resources. In this study, 45,142 individuals were screened for depression by an automated online screener, with 2,5...

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Main Authors: Supria Gill, Omar Contreras, Ricardo F. Muñoz, Yan Leykin
Format: Article
Language:English
Published: Elsevier 2014-03-01
Series:Internet Interventions
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214782914000050
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author Supria Gill
Omar Contreras
Ricardo F. Muñoz
Yan Leykin
author_facet Supria Gill
Omar Contreras
Ricardo F. Muñoz
Yan Leykin
author_sort Supria Gill
collection DOAJ
description Internet-based mental health resources often suffer from low engagement and retention. An increased understanding of engagement and attrition is needed to realize the potential of such resources. In this study, 45,142 individuals were screened for depression by an automated online screener, with 2,539 enrolling in a year-long monthly rescreening study; they received a single monthly reminder e-mail to rescreen their mood. We found that, even with such a minimal cohort maintenance strategy, a third of the participants completed 1 or more follow-ups, and 22% completed 2 or more follow-ups. Furthermore, completion of earlier follow-ups was highly predictive of future completions. We also found a number of participant characteristics (e.g., current depression status, previous depression treatment seeking, and education level) predicted follow-up rates, singly or in interactions.
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spelling doaj.art-e73a7be37610413690a5c5a95e392fea2022-12-21T22:59:48ZengElsevierInternet Interventions2214-78292014-03-0111202510.1016/j.invent.2014.02.003Participant retention in an automated online monthly depression rescreening program: Patterns and predictorsSupria Gill0Omar Contreras1Ricardo F. Muñoz2Yan Leykin3Palo Alto University, Palo Alto, CA, USAUniversity of California, San Francisco, CA, USAPalo Alto University, Palo Alto, CA, USAUniversity of California, San Francisco, CA, USAInternet-based mental health resources often suffer from low engagement and retention. An increased understanding of engagement and attrition is needed to realize the potential of such resources. In this study, 45,142 individuals were screened for depression by an automated online screener, with 2,539 enrolling in a year-long monthly rescreening study; they received a single monthly reminder e-mail to rescreen their mood. We found that, even with such a minimal cohort maintenance strategy, a third of the participants completed 1 or more follow-ups, and 22% completed 2 or more follow-ups. Furthermore, completion of earlier follow-ups was highly predictive of future completions. We also found a number of participant characteristics (e.g., current depression status, previous depression treatment seeking, and education level) predicted follow-up rates, singly or in interactions.http://www.sciencedirect.com/science/article/pii/S2214782914000050Online screeningMental healthInternationalAttrition
spellingShingle Supria Gill
Omar Contreras
Ricardo F. Muñoz
Yan Leykin
Participant retention in an automated online monthly depression rescreening program: Patterns and predictors
Internet Interventions
Online screening
Mental health
International
Attrition
title Participant retention in an automated online monthly depression rescreening program: Patterns and predictors
title_full Participant retention in an automated online monthly depression rescreening program: Patterns and predictors
title_fullStr Participant retention in an automated online monthly depression rescreening program: Patterns and predictors
title_full_unstemmed Participant retention in an automated online monthly depression rescreening program: Patterns and predictors
title_short Participant retention in an automated online monthly depression rescreening program: Patterns and predictors
title_sort participant retention in an automated online monthly depression rescreening program patterns and predictors
topic Online screening
Mental health
International
Attrition
url http://www.sciencedirect.com/science/article/pii/S2214782914000050
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