Mobile Health Apps for Breast Cancer: Content Analysis and Quality Assessment

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Abstract

Background: The number of mobile health apps is rapidly increasing. This means that consumers are faced with a bewildering array of choices, and finding the benefit of such apps may be challenging. The significant international burden of breast cancer (BC) and the potential of mobile health apps to improve medical and public health practices mean that such apps will likely be important because of their functionalities in daily life. As the app market has grown exponentially, several review studies have scrutinized cancer- or BC-related apps. However, those reviews concentrated on the availability of the apps and relied on user ratings to decide on app quality. To minimize subjectivity in quality assessment, quantitative methods to assess BC-related apps are required. Objective: The purpose of this study is to analyze the content and quality of BC-related apps to provide useful information for end users and clinicians. Methods: Based on a stepwise systematic approach, we analyzed apps related to BC, including those related to prevention, detection, treatment, and survivor support. We used the keywords “breast cancer” in English and Korean to identify commercially available apps in the Google Play and App Store. The apps were then independently evaluated by 2 investigators to determine their eligibility for inclusion. The content and quality of the apps were analyzed using objective frameworks and the Mobile App Rating Scale (MARS), respectively. Results: The initial search identified 1148 apps, 69 (6%) of which were included. Most BC-related apps provided information, and some recorded patient-generated health data, provided psychological support, and assisted with medication management. The Kendall coefficient of concordance between the raters was 0.91 (P 2 years ago, or by individuals, had significantly lower MARS scores compared to other apps (P

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Yang, S., Bui, C. N., & Park, K. (2023). Mobile Health Apps for Breast Cancer: Content Analysis and Quality Assessment. JMIR MHealth and UHealth, 11. https://doi.org/10.2196/43522

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