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iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence
BACKGROUND: Currently, various phone apps have been developed to assist patients. Many of these apps are developed to assist patients in the self-management of chronic diseases such as diabetes. It is essential to analyze these various apps to understand the key features that would potentially be in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238890/ https://www.ncbi.nlm.nih.gov/pubmed/30291096 http://dx.doi.org/10.2196/diabetes.6468 |
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author | Martinez, Mark Park, Su Bin Maison, Isaac Mody, Vicky Soh, Lewis Sungkon Parihar, Harish Singh |
author_facet | Martinez, Mark Park, Su Bin Maison, Isaac Mody, Vicky Soh, Lewis Sungkon Parihar, Harish Singh |
author_sort | Martinez, Mark |
collection | PubMed |
description | BACKGROUND: Currently, various phone apps have been developed to assist patients. Many of these apps are developed to assist patients in the self-management of chronic diseases such as diabetes. It is essential to analyze these various apps to understand the key features that would potentially be instrumental in helping patients successfully achieve goals in disease self-management. OBJECTIVE: The objective of this study was to conduct a review of all the available diabetes-related apps in the iOS App Store to evaluate which diabetic app is more interactive and offers a wide variety of operations such as monitoring glucose, water, carbohydrate intake, weight, body mass index (BMI), medication, blood pressure (BP) levels, reminders or push notifications, food database, charts, exercise management, email, sync between devices, syncing data directly to the prescribers, and other miscellaneous functions such as (Twitter integration, password protection, retina display, barcode scanner, apple watch functionality, and cloud syncing). METHODS: Data was gathered using the iOS App Store on an iPad. The search term “diabetes” resulted in 1209 results. Many of the results obtained were remotely related to diabetes and focused mainly on diet, exercise, emergency services, refill reminders, providing general diabetes information, and other nontherapeutic options. We reviewed each app description and only included apps that were meant for tracking blood glucose levels. All data were obtained in one sitting by one person on the same device, as we found that carrying out the search at different times or on different devices (iPhones) resulted in varying results. Apps that did not have a feature for tracking glucose levels were excluded from the study. RESULTS: The search resulted in 1209 results; 85 apps were retained based on the inclusion criteria mentioned above. All the apps were reviewed for average customer ratings, number of reviews, price, and functions. Of all the apps surveyed, 18 apps with the highest number of user ratings were used for in-depth analysis. Of these 18 apps, 50% (9/18) also had a medication adherence function. Our analysis revealed that the Diabetes logbook used by the mySugr app was one of the best; it differentiated itself by introducing fun as a method of increasing adherence. CONCLUSIONS: A large variation was seen in patient ratings of app features. Many patient reviewers desired simplicity of app functions. Glucose level tracking and email features potentially helped patients and health care providers manage the disease more efficiently. However, none of the apps could sync data directly to the prescribers. Additional features such as graph customization, availability of data backup, and recording previous entries were also requested by many users. Thus, the use of apps in disease management and patient and health-care provider involvement in future app refinement and development should be encouraged. |
format | Online Article Text |
id | pubmed-6238890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-62388902018-12-27 iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence Martinez, Mark Park, Su Bin Maison, Isaac Mody, Vicky Soh, Lewis Sungkon Parihar, Harish Singh JMIR Diabetes Original Paper BACKGROUND: Currently, various phone apps have been developed to assist patients. Many of these apps are developed to assist patients in the self-management of chronic diseases such as diabetes. It is essential to analyze these various apps to understand the key features that would potentially be instrumental in helping patients successfully achieve goals in disease self-management. OBJECTIVE: The objective of this study was to conduct a review of all the available diabetes-related apps in the iOS App Store to evaluate which diabetic app is more interactive and offers a wide variety of operations such as monitoring glucose, water, carbohydrate intake, weight, body mass index (BMI), medication, blood pressure (BP) levels, reminders or push notifications, food database, charts, exercise management, email, sync between devices, syncing data directly to the prescribers, and other miscellaneous functions such as (Twitter integration, password protection, retina display, barcode scanner, apple watch functionality, and cloud syncing). METHODS: Data was gathered using the iOS App Store on an iPad. The search term “diabetes” resulted in 1209 results. Many of the results obtained were remotely related to diabetes and focused mainly on diet, exercise, emergency services, refill reminders, providing general diabetes information, and other nontherapeutic options. We reviewed each app description and only included apps that were meant for tracking blood glucose levels. All data were obtained in one sitting by one person on the same device, as we found that carrying out the search at different times or on different devices (iPhones) resulted in varying results. Apps that did not have a feature for tracking glucose levels were excluded from the study. RESULTS: The search resulted in 1209 results; 85 apps were retained based on the inclusion criteria mentioned above. All the apps were reviewed for average customer ratings, number of reviews, price, and functions. Of all the apps surveyed, 18 apps with the highest number of user ratings were used for in-depth analysis. Of these 18 apps, 50% (9/18) also had a medication adherence function. Our analysis revealed that the Diabetes logbook used by the mySugr app was one of the best; it differentiated itself by introducing fun as a method of increasing adherence. CONCLUSIONS: A large variation was seen in patient ratings of app features. Many patient reviewers desired simplicity of app functions. Glucose level tracking and email features potentially helped patients and health care providers manage the disease more efficiently. However, none of the apps could sync data directly to the prescribers. Additional features such as graph customization, availability of data backup, and recording previous entries were also requested by many users. Thus, the use of apps in disease management and patient and health-care provider involvement in future app refinement and development should be encouraged. JMIR Publications 2017-07-11 /pmc/articles/PMC6238890/ /pubmed/30291096 http://dx.doi.org/10.2196/diabetes.6468 Text en ©Mark Martinez, Su Bin Park, Isaac Maison, Vicky Mody, Lewis Sungkon Soh, Harish Singh Parihar. Originally published in JMIR Diabetes (http://diabetes.jmir.org), 11.07.2017. 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 Diabetes, is properly cited. The complete bibliographic information, a link to the original publication on http://diabetes.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Martinez, Mark Park, Su Bin Maison, Isaac Mody, Vicky Soh, Lewis Sungkon Parihar, Harish Singh iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence |
title | iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence |
title_full | iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence |
title_fullStr | iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence |
title_full_unstemmed | iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence |
title_short | iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence |
title_sort | ios appstore-based phone apps for diabetes management: potential for use in medication adherence |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238890/ https://www.ncbi.nlm.nih.gov/pubmed/30291096 http://dx.doi.org/10.2196/diabetes.6468 |
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