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Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study
INTRODUCTION: Improving effective user engagement with digital mental health tools has become a priority in enabling the value of digital health. With increased interest from the mental health community in embedding digital health tools as part of care delivery, there is a need to examine and identi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558854/ https://www.ncbi.nlm.nih.gov/pubmed/36249478 http://dx.doi.org/10.1177/20552076221129059 |
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author | Lo, Brian Pham, Quynh Sockalingam, Sanjeev Wiljer, David Strudwick, Gillian |
author_facet | Lo, Brian Pham, Quynh Sockalingam, Sanjeev Wiljer, David Strudwick, Gillian |
author_sort | Lo, Brian |
collection | PubMed |
description | INTRODUCTION: Improving effective user engagement with digital mental health tools has become a priority in enabling the value of digital health. With increased interest from the mental health community in embedding digital health tools as part of care delivery, there is a need to examine and identify the essential factors in influencing user engagement with digital mental health tools in clinical care. The current study will use a Delphi approach to gain consensus from individuals with relevant experience and expertise (e.g. patients, clinicians and healthcare administrators) on factors that influence user engagement (i.e. an essential factor). METHODS: Participants will be invited to complete up to four rounds of online surveys. The first round of the Delphi study comprises of reviewing existing factors identified in literature and commenting on whether any factors they believe are important are missing from the list. Subsequent rounds will involve asking participants to rate the perceived impact of each factor in influencing user engagement with digital mental health tools in clinical care contexts. This work is expected to consolidate the perspectives from relevant stakeholders and the academic literature to identify a core set of factors considered essential in influencing user engagement with digital mental health tools in clinical care contexts. |
format | Online Article Text |
id | pubmed-9558854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-95588542022-10-14 Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study Lo, Brian Pham, Quynh Sockalingam, Sanjeev Wiljer, David Strudwick, Gillian Digit Health Research Protocol INTRODUCTION: Improving effective user engagement with digital mental health tools has become a priority in enabling the value of digital health. With increased interest from the mental health community in embedding digital health tools as part of care delivery, there is a need to examine and identify the essential factors in influencing user engagement with digital mental health tools in clinical care. The current study will use a Delphi approach to gain consensus from individuals with relevant experience and expertise (e.g. patients, clinicians and healthcare administrators) on factors that influence user engagement (i.e. an essential factor). METHODS: Participants will be invited to complete up to four rounds of online surveys. The first round of the Delphi study comprises of reviewing existing factors identified in literature and commenting on whether any factors they believe are important are missing from the list. Subsequent rounds will involve asking participants to rate the perceived impact of each factor in influencing user engagement with digital mental health tools in clinical care contexts. This work is expected to consolidate the perspectives from relevant stakeholders and the academic literature to identify a core set of factors considered essential in influencing user engagement with digital mental health tools in clinical care contexts. SAGE Publications 2022-10-11 /pmc/articles/PMC9558854/ /pubmed/36249478 http://dx.doi.org/10.1177/20552076221129059 Text en © The Author(s) 2022 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 | Research Protocol Lo, Brian Pham, Quynh Sockalingam, Sanjeev Wiljer, David Strudwick, Gillian Identifying essential factors that influence user engagement with digital mental health tools in clinical care settings: Protocol for a Delphi study |
title | Identifying essential factors that influence user engagement with
digital mental health tools in clinical care settings: Protocol for a Delphi
study |
title_full | Identifying essential factors that influence user engagement with
digital mental health tools in clinical care settings: Protocol for a Delphi
study |
title_fullStr | Identifying essential factors that influence user engagement with
digital mental health tools in clinical care settings: Protocol for a Delphi
study |
title_full_unstemmed | Identifying essential factors that influence user engagement with
digital mental health tools in clinical care settings: Protocol for a Delphi
study |
title_short | Identifying essential factors that influence user engagement with
digital mental health tools in clinical care settings: Protocol for a Delphi
study |
title_sort | identifying essential factors that influence user engagement with
digital mental health tools in clinical care settings: protocol for a delphi
study |
topic | Research Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558854/ https://www.ncbi.nlm.nih.gov/pubmed/36249478 http://dx.doi.org/10.1177/20552076221129059 |
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