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mHealth App Prescription in Australian General Practice: Pre-Post Study
BACKGROUND: Evidence of effectiveness of mobile health (mHealth) apps as well as their usability as non-drug interventions in primary care are emerging around the globe. OBJECTIVE: This study aimed to explore the feasibility of mHealth app prescription by general practitioners (GPs) and to evaluate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296416/ https://www.ncbi.nlm.nih.gov/pubmed/32478660 http://dx.doi.org/10.2196/16497 |
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author | Byambasuren, Oyungerel Beller, Elaine Hoffmann, Tammy Glasziou, Paul |
author_facet | Byambasuren, Oyungerel Beller, Elaine Hoffmann, Tammy Glasziou, Paul |
author_sort | Byambasuren, Oyungerel |
collection | PubMed |
description | BACKGROUND: Evidence of effectiveness of mobile health (mHealth) apps as well as their usability as non-drug interventions in primary care are emerging around the globe. OBJECTIVE: This study aimed to explore the feasibility of mHealth app prescription by general practitioners (GPs) and to evaluate the effectiveness of an implementation intervention to increase app prescription. METHODS: A single-group, before-and-after study was conducted in Australian general practice. GPs were given prescription pads for 6 mHealth apps and reported the number of prescriptions dispensed for 4 months. After the reporting of month 2, a 2-minute video of one of the apps was randomly selected and sent to each GP. Data were collected through a prestudy questionnaire, monthly electronic reporting, and end-of-study interviews. The primary outcome was the number of app prescriptions (total, monthly, per GP, and per GP per fortnight). Secondary outcomes included confidence in prescribing apps (0-5 scale), the impact of the intervention video on subsequent prescription numbers, and acceptability of the interventions. RESULTS: Of 40 GPs recruited, 39 commenced, and 36 completed the study. In total, 1324 app prescriptions were dispensed over 4 months. The median number of apps prescribed per GP was 30 (range 6-111 apps). The median number of apps prescribed per GP per fortnight increased from the pre-study level of 1.7 to 4.1. Confidence about prescribing apps doubled from a mean of 2 (not so confident) to 4 (very confident). App videos did not affect subsequent prescription rates substantially. Post-study interviews revealed that the intervention was highly acceptable. CONCLUSIONS: mHealth app prescription in general practice is feasible, and our implementation intervention was effective in increasing app prescription. GPs need more tailored education and training on the value of mHealth apps and knowledge of prescribable apps to be able to successfully change their prescribing habits to include apps. The future of sustainable and scalable app prescription requires a trustworthy electronic app repository of prescribable mHealth apps for GPs. |
format | Online Article Text |
id | pubmed-7296416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72964162020-08-12 mHealth App Prescription in Australian General Practice: Pre-Post Study Byambasuren, Oyungerel Beller, Elaine Hoffmann, Tammy Glasziou, Paul JMIR Mhealth Uhealth Original Paper BACKGROUND: Evidence of effectiveness of mobile health (mHealth) apps as well as their usability as non-drug interventions in primary care are emerging around the globe. OBJECTIVE: This study aimed to explore the feasibility of mHealth app prescription by general practitioners (GPs) and to evaluate the effectiveness of an implementation intervention to increase app prescription. METHODS: A single-group, before-and-after study was conducted in Australian general practice. GPs were given prescription pads for 6 mHealth apps and reported the number of prescriptions dispensed for 4 months. After the reporting of month 2, a 2-minute video of one of the apps was randomly selected and sent to each GP. Data were collected through a prestudy questionnaire, monthly electronic reporting, and end-of-study interviews. The primary outcome was the number of app prescriptions (total, monthly, per GP, and per GP per fortnight). Secondary outcomes included confidence in prescribing apps (0-5 scale), the impact of the intervention video on subsequent prescription numbers, and acceptability of the interventions. RESULTS: Of 40 GPs recruited, 39 commenced, and 36 completed the study. In total, 1324 app prescriptions were dispensed over 4 months. The median number of apps prescribed per GP was 30 (range 6-111 apps). The median number of apps prescribed per GP per fortnight increased from the pre-study level of 1.7 to 4.1. Confidence about prescribing apps doubled from a mean of 2 (not so confident) to 4 (very confident). App videos did not affect subsequent prescription rates substantially. Post-study interviews revealed that the intervention was highly acceptable. CONCLUSIONS: mHealth app prescription in general practice is feasible, and our implementation intervention was effective in increasing app prescription. GPs need more tailored education and training on the value of mHealth apps and knowledge of prescribable apps to be able to successfully change their prescribing habits to include apps. The future of sustainable and scalable app prescription requires a trustworthy electronic app repository of prescribable mHealth apps for GPs. JMIR Publications 2020-06-01 /pmc/articles/PMC7296416/ /pubmed/32478660 http://dx.doi.org/10.2196/16497 Text en ©Oyungerel Byambasuren, Elaine Beller, Tammy Hoffmann, Paul Glasziou. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 01.06.2020. 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 http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Byambasuren, Oyungerel Beller, Elaine Hoffmann, Tammy Glasziou, Paul mHealth App Prescription in Australian General Practice: Pre-Post Study |
title | mHealth App Prescription in Australian General Practice: Pre-Post Study |
title_full | mHealth App Prescription in Australian General Practice: Pre-Post Study |
title_fullStr | mHealth App Prescription in Australian General Practice: Pre-Post Study |
title_full_unstemmed | mHealth App Prescription in Australian General Practice: Pre-Post Study |
title_short | mHealth App Prescription in Australian General Practice: Pre-Post Study |
title_sort | mhealth app prescription in australian general practice: pre-post study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296416/ https://www.ncbi.nlm.nih.gov/pubmed/32478660 http://dx.doi.org/10.2196/16497 |
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