mHealth Apps Available in Italy to Support Health Care Professionals in Antimicrobial Stewardship Implementation: Systematic Search in App Stores and Content Analysis.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Giuseppa Russo, Annachiara Petrazzuolo, Marino Trivisani, Giuseppe Virone, Elena Mazzolini, Davide Pecori, Assunta Sartor, Sergio Giuseppe Intini, Stefano Celotto, Rossana Roncato, Roberto Cocconi, Luca Arnoldo, Laura Brunelli
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引用次数: 0

Abstract

Background: 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.

Objective: The aim of this study was to explore the apps available to support health care professionals in the fight against AMR.

Methods: 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.

Results: 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%).

Conclusions: 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.

意大利提供的移动健康应用程序支持医疗保健专业人员实施抗菌药物管理:应用程序商店中的系统搜索和内容分析。
背景:抗微生物药物耐药性(AMR)是21世纪面临的重大挑战。数字技术现在是支持最佳卫生保健服务和公共卫生的一种日益有效的手段。目的:本研究的目的是探索可用于支持卫生保健专业人员与AMR作斗争的应用程序。方法:共有4名独立研究人员以“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”、“抗菌药物治疗”等关键词对App Store和谷歌Play Store进行系统搜索。同样的关键词也用意大利语搜索过。内容为意大利语或英语以外语言的应用,或游戏应用,或包含多媒体或付费内容和广告的应用,或仅针对特定病态的应用均未被考虑在内。收集了所有发现的应用程序的一组基本信息。下载应用程序后,他们使用86项清单进行评估,其中包含专家验证的标准,这些标准汇总在病原体和病原体,诊断和治疗支持,AMR,仪表板功能,抗菌管理(AMS),笔记和录音,网络和应用程序的技术特征等领域。结果:首先,确定了115个应用程序:31个Android应用程序和84个iOS应用程序。通过应用排除标准,31款应用(16款Android应用和15款iOS应用)被排除在外,原因包括:非意大利语或英语版本(6款应用)、非免费版本(14款应用)、需要注册(5款应用)和游戏(6款应用)。剩下的84款符合条件的应用(15款Android应用和69款iOS应用)被下载、安装,并使用相同的标准进行进一步分析,排除了57款应用(48款iOS应用和9款Android应用),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),病理专用(5个应用程序),付费内容(8个应用程序),兽医专用(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),不涉及医疗保健目标(3个应用程序)。剩下的27款应用(6款Android应用和21款iOS应用)将被选中进行深入分析。在27个符合入选标准的应用程序中,大多数应用程序没有达到理想的方面,只有2个应用程序达到了36%的实现分数。得分最高的是对诊断和治疗的支持(37%)和应用程序的技术特征(23%)。AMS(8%)、病原体和病原学因子(4%)、笔记和记录(3%)、网络(2%)、AMR(1%)和仪表板功能(1%)得分较低。结论:没有一个应用程序成功地提供了期望的特性和功能。为了更好地让开处方者参与到对抗抗生素耐药性的斗争中来,需要开发一款符合要求的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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