Russo Giuseppa, Petrazzuolo Annachiara, Trivisani Marino, Virone Giuseppe, Mazzolini Elena, Pecori Davide, Sartor Assunta, Intini Sergio Giuseppe, Celotto Stefano, Roncato Rossana, Cocconi Roberto, Arnoldo Luca, Brunelli Laura
Department of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.
Department of Epidemiology, Experimental Zooprophylactic Institute of Venezia, Udine and Legnaro, Legnaro, Italy.
JMIR Mhealth Uhealth. 2025 Apr 29;13:e51122. doi: 10.2196/51122.
Antimicrobial resistance (AMR) is a major challenge of the 21st century. Digital technologies are now an increasingly effective means of supporting optimal health care delivery and public health.
The aim of this study was to explore the apps available to support health care professionals in the fight against AMR.
A total of 4 independent researchers conducted a systematic search of the App Store and Google Play Store using the following keywords: "antimicrobial resistance," "antibiotic resistance," "antimicrobial stewardship," "antibiotic stewardship," "antibiotic guide," "antibiotic therapy," and "antimicrobial therapy." The same keywords were also searched in Italian. The apps whose contents were in languages other than Italian or English, or apps which were games, or had multimedia or paid content and advertising, or apps for only specific pathologies were not considered. A set of basic information was collected for all apps found. After downloading the apps, they were evaluated using an 86-item checklist containing expert-validated criteria aggregated in the domains of pathogens and etiological agents, diagnosis and therapy support, AMR, dashboard function, antimicrobial stewardship (AMS), notes and recordings, network, and technical characteristics of the app.
First, 115 apps were identified: 31 apps for Android and 84 apps for iOS. By applying the exclusion criteria, 31 apps were excluded (16 for Android and 15 for iOS) for the following reasons: not available in Italian or English (6 apps), not freely available (14 apps), required registration (5 apps), and games (6 apps). The remaining 84 eligible apps (15 for Android and 69 for iOS) were downloaded, installed, and further analyzed using the same criteria, excluding 57 apps (48 for iOS and 9 for Android) for the following reasons: required further registration (16 apps), language other than Italian or English (17 apps), pathology specific (5 apps), paid content (8 apps), specific to veterinarians (4 apps), recreational apps (2 apps), referred to only scientific articles (1 app), no longer available (1 app), and not health care objectives (3 apps). The remaining 27 apps (6 for Android and 21 for iOS) were selected for in-depth analysis. Of the 27 apps that met the inclusion criteria, most apps did not fulfill the desirable aspects and only 2 of them achieved a fulfillment score of 36%. The highest scores were achieved for support for diagnosis and therapy (37%) and technical characteristics of the app (23%). Lower scores were achieved for AMS (8%), pathogens and etiological agents (4%), notes and records (3%), network (2%), AMR (1%), and dashboard function (1%).
None of the apps examined successfully provided the desired features and functions. To better engage of prescribers in the fight against AMR, the development of an app that meets the requirements is needed.
抗菌药物耐药性(AMR)是21世纪的一项重大挑战。数字技术如今已成为支持优化医疗服务提供和公共卫生的日益有效的手段。
本研究的目的是探索可用于支持医疗保健专业人员对抗AMR的应用程序。
共有4名独立研究人员使用以下关键词对应用商店和谷歌应用商店进行了系统搜索:“抗菌药物耐药性”、“抗生素耐药性”、“抗菌药物管理”、“抗生素管理”、“抗生素指南”、“抗生素治疗”和“抗菌药物治疗”。还使用意大利语搜索了相同的关键词。内容使用意大利语或英语以外语言的应用程序、游戏应用程序、具有多媒体或付费内容及广告的应用程序或仅针对特定病症的应用程序均未被考虑。为所有找到的应用程序收集了一组基本信息。下载应用程序后,使用包含86项清单的评估标准对其进行评估,这些标准汇总在病原体和病因、诊断和治疗支持、AMR、仪表板功能、抗菌药物管理(AMS)、笔记和记录、网络以及应用程序的技术特征等领域。
首先,识别出115个应用程序:31个安卓应用程序和84个iOS应用程序。通过应用排除标准,排除了31个应用程序(16个安卓应用程序和15个iOS应用程序),原因如下:意大利语或英语不可用(6个应用程序)、非免费可用(14个应用程序)、需要注册(5个应用程序)以及游戏(6个应用程序)。其余84个符合条件的应用程序(15个安卓应用程序和69个iOS应用程序)被下载、安装,并使用相同标准进行进一步分析,排除了57个应用程序(48个iOS应用程序和9个安卓应用程序),原因如下:需要进一步注册(16个应用程序)、意大利语或英语以外的语言(17个应用程序)、特定病症(5个应用程序)、付费内容(8个应用程序)、仅针对兽医(4个应用程序)、娱乐应用程序(2个应用程序)、仅引用科学文章(1个应用程序)、不再可用(1个应用程序)以及非医疗保健目标(3个应用程序)。其余27个应用程序(6个安卓应用程序和21个iOS应用程序)被选中进行深入分析。在符合纳入标准的27个应用程序中,大多数应用程序未满足理想方面,其中只有2个应用程序的满足度得分达到36%。诊断和治疗支持(37%)以及应用程序的技术特征(23%)得分最高。AMS(8%)、病原体和病因(4%)、笔记和记录(3%)、网络(2%)、AMR(1%)以及仪表板功能(1%)得分较低。
所检查的应用程序均未成功提供所需的功能和特性。为了更好地使开处方者参与对抗AMR的斗争,需要开发一款符合要求的应用程序。