ArticleZeitschrift fur Rheumatologie2021
[Identification of rheumatological health apps in the Apple app store applying the "semiautomatic retrospective app store analysis" method : A longitudinal observation].
Article in Zeitschrift fur Rheumatologie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- [Digital Transformation of Healthcare: A Delphi Study of the Working Groups Digital Health and Validation and Linkage of Secondary Data of the German Network for Health Services Research (DNVF)].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2022Article
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8 authors.
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Abstract
backgroundThe Apple and Google app stores offer a wide range of health apps. It is still a challenge to find valuable and qualified apps.
objectiveCan German language apps be identified using the "semiautomated retrospective app store analysis" (SARASA) method for the field of rheumatology? MATERIAL AND
methodThe SARASA is a semiautomated method to select and characterize apps listed in the app store. After the first application in February 2018 SARASA was applied again to the Apple app store in February 2020.
resultsIn February 2018 it was possible to acquire metadata for 103,046 apps and in February 2020 data for 94,735 apps that were listed in the category "health and fitness" or "medicine" in Apple's app store frontend for Germany. After applying the search terms 59 apps with a German language app description were identified for the field of rheumatology in 2018 and 53 apps in 2020. For these, more detailed manual reviews seem worthwhile. In 2018, the apps found were more likely to address patients than physicians and this was more balanced in 2020. In addition, it became apparent that for certain diseases there was no app developer activity. The percentage breakdown of matches by search term revealed substantial fluctuations in the app market when comparing 2018 to 2020. DISCUSSION: The SARASA method provides a useful tool to identify apps from app stores that meet predefined, formal criteria. Subsequent manual checks of the quality of the contents are still necessary. Further development of the SARASA method and consensus and standardization of quality criteria are worthwhile. Quality criteria should be considered for offers of mobile health apps in app stores.
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