Quality and Multifunctionality in Mobile Applications for Gestational Diabetes: A Systematic App Review

<b>Background: </b>The use of mobile health apps (mHealth apps) can assist with the management of gestational diabetes. Although a number of studies have demonstrated their efficacy in improving maternal–foetal outcomes, opinions differ regarding their usability and overall quality. Poorly designed apps, with ill-conceived features or inappropriate content, may pose a threat to patient safety. Nevertheless, very few studies provide in-depth evaluations of app-design quality, and the diversity of features and techniques employed remains insufficiently explored.<br/><br/><b>Objective:</b> To evaluate the quality and multifunctionality of commercially available mHealth apps for gestational diabetes.<br/><br/><b>Methods:</b> A systematic app review, guided by the TECH framework and the PRISMA 2020 checklist. Searches were conducted on the Apple Store and Google Play. Apps were screened by name, description, and full navigation to identify inclusions. The quality of the apps was evaluated using the MARS (Mobile App Rating Scale) and IMS (IMS Institute for Healthcare Informatics Functionality Score). Multifunctionality of the apps was evaluated using the GDM-adapted Features and Techniques list developed from ABACUS (App Behaviour Change Scale), NICE (National Institute for Health and Care Excellence) 2015 guidelines and previous studies. The General Features list, which contains instruction, data security, customisation, and technical issues, was derived from previous studies.<br/><br/><b>Results: </b>The search (June 2024) identified 23 commercially available apps from the UK app stores. The overall app quality was evaluated to be satisfactory (MARS: 4.0±0.36, IMS: 5.83±3.03). The multifunctionality evaluation found the apps applied 17.95±7.31 of all 45 items. Overall, our findings suggested that mHealth apps for gestational diabetes achieved a certain level of multifunctionality. However, their feature types and supporting digital techniques are relatively basic. The apps focused on educating and the management of blood glucose control rather than integrating other self-monitoring data and pregnancy-relevant management into their design. The digital techniques used to achieve these features included text and manual operation, rather than other automated features.<br/><br/><b>Conclusions:</b> This is the first app review to consider the relationship between app features and usability for women with GDM. Future app development should integrate a wide range of pregnancy-relevant information, more automated features, and employ advanced digital techniques to enable a holistic digital solution for women with gestational diabetes.

Publication Details

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Research Explorer (The University of Manchester)
Published
2025-12-03
Primary Topic
Mobile Health and mHealth Applications
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article

Quality and Multifunctionality in Mobile Applications for Gestational Diabetes: A Systematic App Review

Research Explorer (The University of Manchester)
Mobile Health and mHealth Applications
article

Quality and Multifunctionality in Mobile Applications for Gestational Diabetes: A Systematic App Review

article en

Abstract

<b>Background: </b>The use of mobile health apps (mHealth apps) can assist with the management of gestational diabetes. Although a number of studies have demonstrated their efficacy in improving maternal–foetal outcomes, opinions differ regarding their usability and overall quality. Poorly designed apps, with ill-conceived features or inappropriate content, may pose a threat to patient safety. Nevertheless, very few studies provide in-depth evaluations of app-design quality, and the diversity of features and techniques employed remains insufficiently explored.<br/><br/><b>Objective:</b> To evaluate the quality and multifunctionality of commercially available mHealth apps for gestational diabetes.<br/><br/><b>Methods:</b> A systematic app review, guided by the TECH framework and the PRISMA 2020 checklist. Searches were conducted on the Apple Store and Google Play. Apps were screened by name, description, and full navigation to identify inclusions. The quality of the apps was evaluated using the MARS (Mobile App Rating Scale) and IMS (IMS Institute for Healthcare Informatics Functionality Score). Multifunctionality of the apps was evaluated using the GDM-adapted Features and Techniques list developed from ABACUS (App Behaviour Change Scale), NICE (National Institute for Health and Care Excellence) 2015 guidelines and previous studies. The General Features list, which contains instruction, data security, customisation, and technical issues, was derived from previous studies.<br/><br/><b>Results: </b>The search (June 2024) identified 23 commercially available apps from the UK app stores. The overall app quality was evaluated to be satisfactory (MARS: 4.0±0.36, IMS: 5.83±3.03). The multifunctionality evaluation found the apps applied 17.95±7.31 of all 45 items. Overall, our findings suggested that mHealth apps for gestational diabetes achieved a certain level of multifunctionality. However, their feature types and supporting digital techniques are relatively basic. The apps focused on educating and the management of blood glucose control rather than integrating other self-monitoring data and pregnancy-relevant management into their design. The digital techniques used to achieve these features included text and manual operation, rather than other automated features.<br/><br/><b>Conclusions:</b> This is the first app review to consider the relationship between app features and usability for women with GDM. Future app development should integrate a wide range of pregnancy-relevant information, more automated features, and employ advanced digital techniques to enable a holistic digital solution for women with gestational diabetes.

Research Explorer (The University of Manchester)
Good health and well-being
Openalex Percentile: Top 26%
Mobile Health and mHealth Applications
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