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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2014-03-01
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Series: | Internet Interventions |
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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. |
first_indexed | 2024-12-14T13:27:20Z |
format | Article |
id | doaj.art-e73a7be37610413690a5c5a95e392fea |
institution | Directory Open Access Journal |
issn | 2214-7829 |
language | English |
last_indexed | 2024-12-14T13:27:20Z |
publishDate | 2014-03-01 |
publisher | Elsevier |
record_format | Article |
series | Internet Interventions |
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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