Moritz Gwiasda, Larisa Rathjens, David D. Martin, Ricarda Möhler, Silke Schwarz, Ekkehart Jenetzky
{"title":"德国移动医疗应用程序的分布:对 FeverApp 注册表的分析","authors":"Moritz Gwiasda, Larisa Rathjens, David D. Martin, Ricarda Möhler, Silke Schwarz, Ekkehart Jenetzky","doi":"10.1177/03000605241274550","DOIUrl":null,"url":null,"abstract":"ObjectiveIn this observational study, we determined the distribution of mHealth applications (apps) in Germany using data from the FeverApp registry.MethodsThe registry data were processed to assess general monthly trends in app distribution, and a seasonal autoregressive integrated moving average model was decomposed to investigate time series. A sample comparison was made matching data from cold-called against self-registered distributers of the FeverApp.ResultsAmong 881 pediatric and adolescent medical practices, 27,300 app users were recruited between 2019 and August 2023. The number of monthly recruited users increased steadily. A seasonal trend was observed, showing a higher distribution in winter months. Self-registered pediatric practices did not recruit significantly more app users than cold-called practices, with approximately every 25th family recruited in both groups.ConclusionsThe trend of more app sign-ups during winter is likely related to the flu season in Germany. Intrinsic and extrinsic motivational factors of the practices seem to have a large impact on the distribution. We observed a positive trend in the app distribution. Seasonal febrile infections and individual distribution methods among practices influence the distribution of the FeverApp in Germany. Family factors may have a greater influence than the motivation of distributing practices.","PeriodicalId":16129,"journal":{"name":"Journal of International Medical Research","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distribution of mHealth applications in Germany: analysis of the FeverApp registry\",\"authors\":\"Moritz Gwiasda, Larisa Rathjens, David D. Martin, Ricarda Möhler, Silke Schwarz, Ekkehart Jenetzky\",\"doi\":\"10.1177/03000605241274550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ObjectiveIn this observational study, we determined the distribution of mHealth applications (apps) in Germany using data from the FeverApp registry.MethodsThe registry data were processed to assess general monthly trends in app distribution, and a seasonal autoregressive integrated moving average model was decomposed to investigate time series. A sample comparison was made matching data from cold-called against self-registered distributers of the FeverApp.ResultsAmong 881 pediatric and adolescent medical practices, 27,300 app users were recruited between 2019 and August 2023. The number of monthly recruited users increased steadily. A seasonal trend was observed, showing a higher distribution in winter months. Self-registered pediatric practices did not recruit significantly more app users than cold-called practices, with approximately every 25th family recruited in both groups.ConclusionsThe trend of more app sign-ups during winter is likely related to the flu season in Germany. Intrinsic and extrinsic motivational factors of the practices seem to have a large impact on the distribution. We observed a positive trend in the app distribution. Seasonal febrile infections and individual distribution methods among practices influence the distribution of the FeverApp in Germany. Family factors may have a greater influence than the motivation of distributing practices.\",\"PeriodicalId\":16129,\"journal\":{\"name\":\"Journal of International Medical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of International Medical Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/03000605241274550\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of International Medical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/03000605241274550","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Distribution of mHealth applications in Germany: analysis of the FeverApp registry
ObjectiveIn this observational study, we determined the distribution of mHealth applications (apps) in Germany using data from the FeverApp registry.MethodsThe registry data were processed to assess general monthly trends in app distribution, and a seasonal autoregressive integrated moving average model was decomposed to investigate time series. A sample comparison was made matching data from cold-called against self-registered distributers of the FeverApp.ResultsAmong 881 pediatric and adolescent medical practices, 27,300 app users were recruited between 2019 and August 2023. The number of monthly recruited users increased steadily. A seasonal trend was observed, showing a higher distribution in winter months. Self-registered pediatric practices did not recruit significantly more app users than cold-called practices, with approximately every 25th family recruited in both groups.ConclusionsThe trend of more app sign-ups during winter is likely related to the flu season in Germany. Intrinsic and extrinsic motivational factors of the practices seem to have a large impact on the distribution. We observed a positive trend in the app distribution. Seasonal febrile infections and individual distribution methods among practices influence the distribution of the FeverApp in Germany. Family factors may have a greater influence than the motivation of distributing practices.
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