Cargando…
Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort
BACKGROUND: Digital mental health (DMH) programs can be effective in treating and preventing mental health problems. However, community engagement with these programs can be poor. Understanding the barriers and enablers of DMH program use may assist in identifying ways to increase the uptake of thes...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936370/ https://www.ncbi.nlm.nih.gov/pubmed/36729613 http://dx.doi.org/10.2196/41663 |
_version_ | 1784890216709881856 |
---|---|
author | Batterham, Philip Gulliver, Amelia Sunderland, Matthew Farrer, Louise Kay-Lambkin, Frances Trias, Angelica Calear, Alison |
author_facet | Batterham, Philip Gulliver, Amelia Sunderland, Matthew Farrer, Louise Kay-Lambkin, Frances Trias, Angelica Calear, Alison |
author_sort | Batterham, Philip |
collection | PubMed |
description | BACKGROUND: Digital mental health (DMH) programs can be effective in treating and preventing mental health problems. However, community engagement with these programs can be poor. Understanding the barriers and enablers of DMH program use may assist in identifying ways to increase the uptake of these programs, which have the potential to provide broad-scale prevention and treatment in the community. OBJECTIVE: In this study, we aimed to identify and compare factors that may influence participation in DMH programs in practice and research trials, identify any respondent characteristics that are associated with these factors, and assess the relationship between intentions to use DMH programs and actual uptake. METHODS: Australian adults aged ≥18 years were recruited from market research panels to participate in the study. The sample was representative of the Australian adult population based on age, gender, and location. Participants completed a cross-sectional web-based survey assessing demographic characteristics, mental health symptom measures, attitudes and use of DMH programs in practice and in research studies, and the factors influencing their use in both settings. RESULTS: Across both research and practice, trust in the organization delivering the service or trial was the top-ranked factor influencing participation, followed by anonymity or privacy and adequate information. There was little variation in rankings across demographic groups, including intentions to use DMH programs or mental health status. Intentions to use DMH programs were a strong predictor of both current (odds ratio 2.50, 99% CI 1.41-4.43; P<.001) and past (odds ratio 2.98, 99% CI 1.71-5.19; P<.001) use behaviors. CONCLUSIONS: Efforts to increase the uptake of DMH programs or participation in research trials should focus on clearly communicating the following to users: the legitimacy of the organization delivering the program, security and use of participant data, and effectiveness of DMH programs. |
format | Online Article Text |
id | pubmed-9936370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-99363702023-02-18 Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort Batterham, Philip Gulliver, Amelia Sunderland, Matthew Farrer, Louise Kay-Lambkin, Frances Trias, Angelica Calear, Alison J Med Internet Res Original Paper BACKGROUND: Digital mental health (DMH) programs can be effective in treating and preventing mental health problems. However, community engagement with these programs can be poor. Understanding the barriers and enablers of DMH program use may assist in identifying ways to increase the uptake of these programs, which have the potential to provide broad-scale prevention and treatment in the community. OBJECTIVE: In this study, we aimed to identify and compare factors that may influence participation in DMH programs in practice and research trials, identify any respondent characteristics that are associated with these factors, and assess the relationship between intentions to use DMH programs and actual uptake. METHODS: Australian adults aged ≥18 years were recruited from market research panels to participate in the study. The sample was representative of the Australian adult population based on age, gender, and location. Participants completed a cross-sectional web-based survey assessing demographic characteristics, mental health symptom measures, attitudes and use of DMH programs in practice and in research studies, and the factors influencing their use in both settings. RESULTS: Across both research and practice, trust in the organization delivering the service or trial was the top-ranked factor influencing participation, followed by anonymity or privacy and adequate information. There was little variation in rankings across demographic groups, including intentions to use DMH programs or mental health status. Intentions to use DMH programs were a strong predictor of both current (odds ratio 2.50, 99% CI 1.41-4.43; P<.001) and past (odds ratio 2.98, 99% CI 1.71-5.19; P<.001) use behaviors. CONCLUSIONS: Efforts to increase the uptake of DMH programs or participation in research trials should focus on clearly communicating the following to users: the legitimacy of the organization delivering the program, security and use of participant data, and effectiveness of DMH programs. JMIR Publications 2023-02-02 /pmc/articles/PMC9936370/ /pubmed/36729613 http://dx.doi.org/10.2196/41663 Text en ©Philip Batterham, Amelia Gulliver, Matthew Sunderland, Louise Farrer, Frances Kay-Lambkin, Angelica Trias, Alison Calear. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 02.02.2023. 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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Batterham, Philip Gulliver, Amelia Sunderland, Matthew Farrer, Louise Kay-Lambkin, Frances Trias, Angelica Calear, Alison Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort |
title | Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort |
title_full | Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort |
title_fullStr | Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort |
title_full_unstemmed | Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort |
title_short | Factors Influencing Community Participation in Internet Interventions Compared With Research Trials: Observational Study in a Nationally Representative Adult Cohort |
title_sort | factors influencing community participation in internet interventions compared with research trials: observational study in a nationally representative adult cohort |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936370/ https://www.ncbi.nlm.nih.gov/pubmed/36729613 http://dx.doi.org/10.2196/41663 |
work_keys_str_mv | AT batterhamphilip factorsinfluencingcommunityparticipationininternetinterventionscomparedwithresearchtrialsobservationalstudyinanationallyrepresentativeadultcohort AT gulliveramelia factorsinfluencingcommunityparticipationininternetinterventionscomparedwithresearchtrialsobservationalstudyinanationallyrepresentativeadultcohort AT sunderlandmatthew factorsinfluencingcommunityparticipationininternetinterventionscomparedwithresearchtrialsobservationalstudyinanationallyrepresentativeadultcohort AT farrerlouise factorsinfluencingcommunityparticipationininternetinterventionscomparedwithresearchtrialsobservationalstudyinanationallyrepresentativeadultcohort AT kaylambkinfrances factorsinfluencingcommunityparticipationininternetinterventionscomparedwithresearchtrialsobservationalstudyinanationallyrepresentativeadultcohort AT triasangelica factorsinfluencingcommunityparticipationininternetinterventionscomparedwithresearchtrialsobservationalstudyinanationallyrepresentativeadultcohort AT calearalison factorsinfluencingcommunityparticipationininternetinterventionscomparedwithresearchtrialsobservationalstudyinanationallyrepresentativeadultcohort |