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Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial

BACKGROUND: Self-guided online interventions offer users the ability to participate in an intervention at their own pace and address some traditional service barriers (eg, attending in-person appointments, cost). However, these interventions suffer from high dropout rates, and current literature pro...

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Autores principales: Hanano, Maria, Rith-Najarian, Leslie, Boyd, Meredith, Chavira, Denise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002610/
https://www.ncbi.nlm.nih.gov/pubmed/35343901
http://dx.doi.org/10.2196/30754
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author Hanano, Maria
Rith-Najarian, Leslie
Boyd, Meredith
Chavira, Denise
author_facet Hanano, Maria
Rith-Najarian, Leslie
Boyd, Meredith
Chavira, Denise
author_sort Hanano, Maria
collection PubMed
description BACKGROUND: Self-guided online interventions offer users the ability to participate in an intervention at their own pace and address some traditional service barriers (eg, attending in-person appointments, cost). However, these interventions suffer from high dropout rates, and current literature provides little guidance for defining and measuring online intervention adherence as it relates to clinical outcomes. OBJECTIVE: This study aims to develop and test multiple measures of adherence to a specific self-guided online intervention, as guided by best practices from the literature. METHODS: We conducted secondary analyses on data from a randomized controlled trial of an 8-week online cognitive behavioral program that targets depression and anxiety in college students. We defined multiple behavioral and attitudinal adherence measures at varying levels of effort (ie, low, moderate, and high). Linear regressions were run with adherence terms predicting improvement in the primary outcome measure, the 21-item Depression, Anxiety, and Stress Scale (DASS-21). RESULTS: Of the 947 participants, 747 initiated any activity and 449 provided posttest data. Results from the intent-to-treat sample indicated that high level of effort for behavioral adherence significantly predicted symptom change (F4,746=17.18, P<.001; and β=–.26, P=.04). Moderate level of effort for attitudinal adherence also significantly predicted symptom change (F4,746=17.25, P<.001; and β=–.36, P=.03). Results differed in the initiators-only sample, such that none of the adherence measures significantly predicted symptom change (P=.09-.27). CONCLUSIONS: Our findings highlight the differential results of dose-response models testing adherence measures in predicting clinical outcomes. We summarize recommendations that might provide helpful guidance to future researchers and intervention developers aiming to investigate online intervention adherence. TRIAL REGISTRATION: ClinicalTrials.gov NCT04361045; https://clinicaltrials.gov/ct2/show/NCT04361045
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spelling pubmed-90026102022-04-13 Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial Hanano, Maria Rith-Najarian, Leslie Boyd, Meredith Chavira, Denise JMIR Ment Health Original Paper BACKGROUND: Self-guided online interventions offer users the ability to participate in an intervention at their own pace and address some traditional service barriers (eg, attending in-person appointments, cost). However, these interventions suffer from high dropout rates, and current literature provides little guidance for defining and measuring online intervention adherence as it relates to clinical outcomes. OBJECTIVE: This study aims to develop and test multiple measures of adherence to a specific self-guided online intervention, as guided by best practices from the literature. METHODS: We conducted secondary analyses on data from a randomized controlled trial of an 8-week online cognitive behavioral program that targets depression and anxiety in college students. We defined multiple behavioral and attitudinal adherence measures at varying levels of effort (ie, low, moderate, and high). Linear regressions were run with adherence terms predicting improvement in the primary outcome measure, the 21-item Depression, Anxiety, and Stress Scale (DASS-21). RESULTS: Of the 947 participants, 747 initiated any activity and 449 provided posttest data. Results from the intent-to-treat sample indicated that high level of effort for behavioral adherence significantly predicted symptom change (F4,746=17.18, P<.001; and β=–.26, P=.04). Moderate level of effort for attitudinal adherence also significantly predicted symptom change (F4,746=17.25, P<.001; and β=–.36, P=.03). Results differed in the initiators-only sample, such that none of the adherence measures significantly predicted symptom change (P=.09-.27). CONCLUSIONS: Our findings highlight the differential results of dose-response models testing adherence measures in predicting clinical outcomes. We summarize recommendations that might provide helpful guidance to future researchers and intervention developers aiming to investigate online intervention adherence. TRIAL REGISTRATION: ClinicalTrials.gov NCT04361045; https://clinicaltrials.gov/ct2/show/NCT04361045 JMIR Publications 2022-03-28 /pmc/articles/PMC9002610/ /pubmed/35343901 http://dx.doi.org/10.2196/30754 Text en ©Maria Hanano, Leslie Rith-Najarian, Meredith Boyd, Denise Chavira. Originally published in JMIR Mental Health (https://mental.jmir.org), 28.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Hanano, Maria
Rith-Najarian, Leslie
Boyd, Meredith
Chavira, Denise
Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial
title Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial
title_full Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial
title_fullStr Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial
title_full_unstemmed Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial
title_short Measuring Adherence Within a Self-Guided Online Intervention for Depression and Anxiety: Secondary Analyses of a Randomized Controlled Trial
title_sort measuring adherence within a self-guided online intervention for depression and anxiety: secondary analyses of a randomized controlled trial
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002610/
https://www.ncbi.nlm.nih.gov/pubmed/35343901
http://dx.doi.org/10.2196/30754
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