Cargando…
Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study
BACKGROUND: In recent years, the use of mobile health (mHealth) apps to manage chronic diseases has increased significantly. Although mHealth apps have many benefits, their acceptance is still low in certain areas and groups. Most mHealth acceptance studies are based on technology acceptance models....
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943545/ https://www.ncbi.nlm.nih.gov/pubmed/35262493 http://dx.doi.org/10.2196/34918 |
_version_ | 1784673541380112384 |
---|---|
author | Schretzlmaier, Patrik Hecker, Achim Ammenwerth, Elske |
author_facet | Schretzlmaier, Patrik Hecker, Achim Ammenwerth, Elske |
author_sort | Schretzlmaier, Patrik |
collection | PubMed |
description | BACKGROUND: In recent years, the use of mobile health (mHealth) apps to manage chronic diseases has increased significantly. Although mHealth apps have many benefits, their acceptance is still low in certain areas and groups. Most mHealth acceptance studies are based on technology acceptance models. In particular, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was developed to predict technology acceptance in a consumer context. However, to date, only a few studies have used the UTAUT2 model to predict mHealth acceptance and confirm its suitability for the health sector. Thus, it is unclear whether the UTAUT2 model is suitable for predicting mHealth acceptance and whether essential variables for a health-related context are missing. OBJECTIVE: This study aims to validate the suitability of UTAUT2 for predicting mHealth acceptance. METHODS: In this study, diabetes was used as an example as mHealth apps are a significant element of diabetes self-management. In addition, diabetes is one of the most common chronic diseases affecting young and older people worldwide. An explorative literature review and guided interviews with 11 mHealth or technology acceptance experts and 8 mHealth users in Austria and Germany were triangulated to identify all relevant constructs for predicting mHealth acceptance. The interview participants were recruited by purposive sampling until theoretical saturation was reached. Data were analyzed using structured content analysis based on inductive and deductive approaches. RESULTS: This study was able to confirm the relevance of all exogenous UTAUT2 constructs. However, it revealed two additional constructs that may also need to be considered to better predict mHealth acceptance: trust and perceived disease threat. CONCLUSIONS: This study showed that the UTAUT2 model is suitable for predicting mHealth acceptance. However, the model should be extended to include 2 additional constructs for use in the mHealth context. |
format | Online Article Text |
id | pubmed-8943545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-89435452022-03-25 Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study Schretzlmaier, Patrik Hecker, Achim Ammenwerth, Elske JMIR Hum Factors Original Paper BACKGROUND: In recent years, the use of mobile health (mHealth) apps to manage chronic diseases has increased significantly. Although mHealth apps have many benefits, their acceptance is still low in certain areas and groups. Most mHealth acceptance studies are based on technology acceptance models. In particular, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was developed to predict technology acceptance in a consumer context. However, to date, only a few studies have used the UTAUT2 model to predict mHealth acceptance and confirm its suitability for the health sector. Thus, it is unclear whether the UTAUT2 model is suitable for predicting mHealth acceptance and whether essential variables for a health-related context are missing. OBJECTIVE: This study aims to validate the suitability of UTAUT2 for predicting mHealth acceptance. METHODS: In this study, diabetes was used as an example as mHealth apps are a significant element of diabetes self-management. In addition, diabetes is one of the most common chronic diseases affecting young and older people worldwide. An explorative literature review and guided interviews with 11 mHealth or technology acceptance experts and 8 mHealth users in Austria and Germany were triangulated to identify all relevant constructs for predicting mHealth acceptance. The interview participants were recruited by purposive sampling until theoretical saturation was reached. Data were analyzed using structured content analysis based on inductive and deductive approaches. RESULTS: This study was able to confirm the relevance of all exogenous UTAUT2 constructs. However, it revealed two additional constructs that may also need to be considered to better predict mHealth acceptance: trust and perceived disease threat. CONCLUSIONS: This study showed that the UTAUT2 model is suitable for predicting mHealth acceptance. However, the model should be extended to include 2 additional constructs for use in the mHealth context. JMIR Publications 2022-03-09 /pmc/articles/PMC8943545/ /pubmed/35262493 http://dx.doi.org/10.2196/34918 Text en ©Patrik Schretzlmaier, Achim Hecker, Elske Ammenwerth. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 09.03.2022. 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 Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Schretzlmaier, Patrik Hecker, Achim Ammenwerth, Elske Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study |
title | Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study |
title_full | Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study |
title_fullStr | Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study |
title_full_unstemmed | Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study |
title_short | Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study |
title_sort | suitability of the unified theory of acceptance and use of technology 2 model for predicting mhealth acceptance using diabetes as an example: qualitative methods triangulation study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943545/ https://www.ncbi.nlm.nih.gov/pubmed/35262493 http://dx.doi.org/10.2196/34918 |
work_keys_str_mv | AT schretzlmaierpatrik suitabilityoftheunifiedtheoryofacceptanceanduseoftechnology2modelforpredictingmhealthacceptanceusingdiabetesasanexamplequalitativemethodstriangulationstudy AT heckerachim suitabilityoftheunifiedtheoryofacceptanceanduseoftechnology2modelforpredictingmhealthacceptanceusingdiabetesasanexamplequalitativemethodstriangulationstudy AT ammenwerthelske suitabilityoftheunifiedtheoryofacceptanceanduseoftechnology2modelforpredictingmhealthacceptanceusingdiabetesasanexamplequalitativemethodstriangulationstudy |