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Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression
BACKGROUND: Substance use disorders affect 36 million people globally, but only a small proportion of them receive the necessary treatment. E-health interventions have been developed to address this issue by improving access to substance use treatment. However, concerns about participant engagement...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540609/ https://www.ncbi.nlm.nih.gov/pubmed/37780062 http://dx.doi.org/10.1177/20552076231203876 |
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author | Shams, Farhud Tai, Andy M.Y. Kim, Jane Boyd, Marisha Meyer, Maximilian Kazemi, Alireza Krausz, Reinhard Michael |
author_facet | Shams, Farhud Tai, Andy M.Y. Kim, Jane Boyd, Marisha Meyer, Maximilian Kazemi, Alireza Krausz, Reinhard Michael |
author_sort | Shams, Farhud |
collection | PubMed |
description | BACKGROUND: Substance use disorders affect 36 million people globally, but only a small proportion of them receive the necessary treatment. E-health interventions have been developed to address this issue by improving access to substance use treatment. However, concerns about participant engagement and adherence to these interventions remain. This review aimed to evaluate adherence to e-health interventions targeting substance use and identify hypothesized predictors of adherence. METHODS: A systematic review of literature published between 2009 and 2020 was conducted, and data on adherence measures and hypothesized predictors were extracted. Meta-analysis and meta-regression were used to analyze the data. The two adherence measures were (a) the mean proportion of modules completed across the intervention groups and (b) the proportion of participants that completed all modules. Four meta-regression models assessed each covariate including guidance, blended treatment, intervention duration and recruitment strategy. RESULTS: The overall pooled adherence rate was 0.60 (95%-CI: 0.52–0.67) for the mean proportion of modules completed across 30 intervention arms and 0.47 (95%-CI: 0.35–0.59) for the proportion of participants that completed all modules across 9 intervention arms. Guidance, blended treatment, and recruitment were significant predictors of adherence, while treatment duration was not. CONCLUSION: The study suggests that more research is needed to identify predictors of adherence, in order to determine specific aspects that contribute to better exposure to intervention content. Reporting adherence and predictors in future studies can lead to improved meta-analyses and the development of more engaging interventions. Identifying predictors can aid in designing effective interventions for substance use disorders, with important implications for e-health interventions targeting substance use. |
format | Online Article Text |
id | pubmed-10540609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-105406092023-09-30 Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression Shams, Farhud Tai, Andy M.Y. Kim, Jane Boyd, Marisha Meyer, Maximilian Kazemi, Alireza Krausz, Reinhard Michael Digit Health Review Article BACKGROUND: Substance use disorders affect 36 million people globally, but only a small proportion of them receive the necessary treatment. E-health interventions have been developed to address this issue by improving access to substance use treatment. However, concerns about participant engagement and adherence to these interventions remain. This review aimed to evaluate adherence to e-health interventions targeting substance use and identify hypothesized predictors of adherence. METHODS: A systematic review of literature published between 2009 and 2020 was conducted, and data on adherence measures and hypothesized predictors were extracted. Meta-analysis and meta-regression were used to analyze the data. The two adherence measures were (a) the mean proportion of modules completed across the intervention groups and (b) the proportion of participants that completed all modules. Four meta-regression models assessed each covariate including guidance, blended treatment, intervention duration and recruitment strategy. RESULTS: The overall pooled adherence rate was 0.60 (95%-CI: 0.52–0.67) for the mean proportion of modules completed across 30 intervention arms and 0.47 (95%-CI: 0.35–0.59) for the proportion of participants that completed all modules across 9 intervention arms. Guidance, blended treatment, and recruitment were significant predictors of adherence, while treatment duration was not. CONCLUSION: The study suggests that more research is needed to identify predictors of adherence, in order to determine specific aspects that contribute to better exposure to intervention content. Reporting adherence and predictors in future studies can lead to improved meta-analyses and the development of more engaging interventions. Identifying predictors can aid in designing effective interventions for substance use disorders, with important implications for e-health interventions targeting substance use. SAGE Publications 2023-09-28 /pmc/articles/PMC10540609/ /pubmed/37780062 http://dx.doi.org/10.1177/20552076231203876 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Review Article Shams, Farhud Tai, Andy M.Y. Kim, Jane Boyd, Marisha Meyer, Maximilian Kazemi, Alireza Krausz, Reinhard Michael Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression |
title | Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression |
title_full | Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression |
title_fullStr | Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression |
title_full_unstemmed | Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression |
title_short | Adherence to e-health interventions for substance use and the factors influencing it: Systematic Review, meta-analysis, and meta-regression |
title_sort | adherence to e-health interventions for substance use and the factors influencing it: systematic review, meta-analysis, and meta-regression |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540609/ https://www.ncbi.nlm.nih.gov/pubmed/37780062 http://dx.doi.org/10.1177/20552076231203876 |
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