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Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study

BACKGROUND: Smartphone apps are increasingly being used to aid in hypertension self-management, and a large and ever-growing number of self-management apps have been commercially released. However, very few of these are potentially effective and secure, and researchers have yet to establish the suit...

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Autores principales: Alessa, Tourkiah, Hawley, Mark, de Witte, Luc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663499/
https://www.ncbi.nlm.nih.gov/pubmed/34787586
http://dx.doi.org/10.2196/29207
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author Alessa, Tourkiah
Hawley, Mark
de Witte, Luc
author_facet Alessa, Tourkiah
Hawley, Mark
de Witte, Luc
author_sort Alessa, Tourkiah
collection PubMed
description BACKGROUND: Smartphone apps are increasingly being used to aid in hypertension self-management, and a large and ever-growing number of self-management apps have been commercially released. However, very few of these are potentially effective and secure, and researchers have yet to establish the suitability of specific hypertension apps to particular contexts. OBJECTIVE: The aim of this study is to identify the most suitable hypertension app in the context of Saudi Arabia and its health system. METHODS: This study used a 2-stage approach to selecting the most suitable app for hypertension self-management. First, a systematic selection approach was followed to identify a shortlist of the most suitable apps according to the criteria of potential effectiveness, theoretical underpinning, and privacy and security. Second, an exploratory qualitative study was conducted to select the most suitable from the shortlist: 12 doctors were interviewed, and 22 patients participated in 4 focus groups. These explored participants’ attitudes towards self-management apps in general, and their views towards the apps identified via the systematic selection process. The qualitative data were analyzed using framework analysis. RESULTS: In the first stage, only 5 apps were found to be potentially effective while also having a theoretical underpinning and protecting users’ data. In the second stage, both doctors and patients were generally interested in using hypertension apps, but most had no experience with these apps due to a lack of awareness of their availability and suitability. Patients and doctors liked apps that combine intuitive interfaces with a pleasant and clear visual design, in-depth features (eg, color-coded feedback accompanied with textual explanations), activity-specific reminders, and educational content regarding hypertension and potential complications. When the pros and cons of the 5 apps were discussed, 3 apps were identified as being more suitable, with Cora Health rated the highest by the participants. CONCLUSIONS: Only 5 apps were deemed potentially effective and secure. Patients’ and doctors’ discussions of the pros and cons of these 5 apps revealed that 3 out of the 5 are clearly more suitable, with the Cora Health app being judged most suitable overall.
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spelling pubmed-86634992022-01-05 Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study Alessa, Tourkiah Hawley, Mark de Witte, Luc JMIR Mhealth Uhealth Original Paper BACKGROUND: Smartphone apps are increasingly being used to aid in hypertension self-management, and a large and ever-growing number of self-management apps have been commercially released. However, very few of these are potentially effective and secure, and researchers have yet to establish the suitability of specific hypertension apps to particular contexts. OBJECTIVE: The aim of this study is to identify the most suitable hypertension app in the context of Saudi Arabia and its health system. METHODS: This study used a 2-stage approach to selecting the most suitable app for hypertension self-management. First, a systematic selection approach was followed to identify a shortlist of the most suitable apps according to the criteria of potential effectiveness, theoretical underpinning, and privacy and security. Second, an exploratory qualitative study was conducted to select the most suitable from the shortlist: 12 doctors were interviewed, and 22 patients participated in 4 focus groups. These explored participants’ attitudes towards self-management apps in general, and their views towards the apps identified via the systematic selection process. The qualitative data were analyzed using framework analysis. RESULTS: In the first stage, only 5 apps were found to be potentially effective while also having a theoretical underpinning and protecting users’ data. In the second stage, both doctors and patients were generally interested in using hypertension apps, but most had no experience with these apps due to a lack of awareness of their availability and suitability. Patients and doctors liked apps that combine intuitive interfaces with a pleasant and clear visual design, in-depth features (eg, color-coded feedback accompanied with textual explanations), activity-specific reminders, and educational content regarding hypertension and potential complications. When the pros and cons of the 5 apps were discussed, 3 apps were identified as being more suitable, with Cora Health rated the highest by the participants. CONCLUSIONS: Only 5 apps were deemed potentially effective and secure. Patients’ and doctors’ discussions of the pros and cons of these 5 apps revealed that 3 out of the 5 are clearly more suitable, with the Cora Health app being judged most suitable overall. JMIR Publications 2021-11-17 /pmc/articles/PMC8663499/ /pubmed/34787586 http://dx.doi.org/10.2196/29207 Text en ©Tourkiah Alessa, Mark Hawley, Luc de Witte. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 17.11.2021. 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 mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Alessa, Tourkiah
Hawley, Mark
de Witte, Luc
Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study
title Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study
title_full Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study
title_fullStr Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study
title_full_unstemmed Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study
title_short Identification of the Most Suitable App to Support the Self-Management of Hypertension: Systematic Selection Approach and Qualitative Study
title_sort identification of the most suitable app to support the self-management of hypertension: systematic selection approach and qualitative study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663499/
https://www.ncbi.nlm.nih.gov/pubmed/34787586
http://dx.doi.org/10.2196/29207
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