评估用于简化评估临床质量和电子健康应用程序相关性的新的预筛选评分:卡塔尔世界杯8强波胆分析仪器验证研究%A Wagneur,Nicolas %A Callier,Patrick %A Zeitoun,Jean-David %A Silber,Denise %A Sabatier,Remi %A Denis,Fabrice %+法国勒芒Beauverger街9号国家圣皮埃尔研究所，72000，法国，33 684190480f.denis@ilcgroupe.fr %K评分%K eHealth %K临床相关性%K解决方案%K数字解决方案%K临床验证%K预筛选%K eHealth应用程序%K医疗数字解决方案%K评分工具%K健康应用程序%K信息质量%D 2022 %7 5.7.2022 %9观点% jj Med Internet Res %G English %X背景:2020年，每天有超过250个eHealth解决方案被添加到应用商店，全年增加90,000个;然而，这些溶液绝大多数没有经过临床验证，其质量未知，用户不知道它们是否有效和安全。我们试图开发一种简单的预筛选评分方法，以评估每个应用程序的质量和临床相关性。我们在设计此工具时考虑了3个医疗保健利益相关者群体:寻求评估潜在竞争对手或自己工具的电子健康解决方案设计师，考虑筹款候选人的投资者，以及希望评估当前或潜在电子健康解决方案的医院临床医生或IT部门。目的:我们建立并测试了一种新的预筛选评分工具(医疗数字解决方案评分工具)。该工具由26个问题组成，可以快速评估和比较电子健康应用程序的临床相关性和质量，并在68个电子健康解决方案上进行了测试。方法:医疗数字化解决方案评分工具基于法国国家卫生局2021年评估标准、2022年欧洲肿瘤医学学会推荐以及其他提供的评分。我们与患者协会和电子健康专家一起构建了评分工具，并将其提交给电子健康应用程序创建者，他们在2022年1月通过网络表格对他们的应用程序进行评估。在完成评估标准后，他们的应用程序获得了总分和4个类别的分数。 These criteria evaluated the type of solution and domain, the solution’s targeted population size, the level of clinical assessment, and information about the provider. Results: In total, 68 eHealth solutions were evaluated with the scoring tool. Oncology apps (22%, 20/90) and general health solutions (23%, 21/90) were the most represented. Of the 68 apps, 32 (47%) were involved in remote monitoring by health professionals. Regarding clinical outcomes, 5% (9/169) of the apps assessed overall survival. Randomized studies had been conducted for 21% (23/110) of the apps to assess their benefit. Of the 68 providers, 38 (56%) declared the objective of obtaining reimbursement, and 7 (18%) out of the 38 solutions seeking reimbursement were assessed as having a high probability of reimbursement. The median global score was 11.2 (range 4.7-17.4) out of 20 and the distribution of the scores followed a normal distribution pattern (Shapiro-Wilk test: P=.33). Conclusions: This multidomain prescreening scoring tool is simple, fast, and can be deployed on a large scale to initiate an assessment of the clinical relevance and quality of a clinical eHealth app. This simple tool can help a decision-maker determine which aspects of the app require further analysis and improvement. %M 35788102 %R 10.2196/39590 %U //www.mybigtv.com/2022/7/e39590 %U https://doi.org/10.2196/39590 %U http://www.ncbi.nlm.nih.gov/pubmed/35788102