@文章{info:doi/10.2196/25195，作者=“Peters, Guido M和Kooij, Laura和Lenferink, Anke和van Harten, Wim H和Doggen, Carine J M”，标题=“远程医疗对医院服务使用的影响:系统回顾和荟评分析”，期刊=“J医学互联网研究”，年=“2021”，月=“9”，日=“1”，卷=“23”，数=“9”，页=“e25195”，关键词=“远程医疗;系统评价;荟萃分析;住院治疗;保健服务使用;背景:远程保健干预措施，即利用信息和通信技术远程提供保健服务，被建议通过减少医院服务的使用来解决保健费用上升的问题。然而，这在多大程度上是可能的还不清楚。目的:本研究的目的是评价远程保健对医院服务使用的影响，即住院(时间)，并比较远程保健类型与健康状况之间的影响。方法:从创建到2019年4月，我们搜索了PubMed、Scopus和Cochrane图书馆。纳入了报告远程保健干预与常规护理相比对医院服务使用影响的同行评议随机对照试验(rct)。 Risk of bias was assessed using the Cochrane Risk of Bias 2 tool and quality of evidence according to the Grading of Recommendations Assessment, Development and Evaluation guidelines. Results: We included 127 RCTs in the meta-analysis. Of these RCTs, 82.7{\%} (105/127) had a low risk of bias or some concerns overall. High-quality evidence shows that telehealth reduces the risk of all-cause or condition-related hospitalization by 18 (95{\%} CI 0-30) and 37 (95{\%} CI 20-60) per 1000 patients, respectively. We found high-quality evidence that telehealth leads to reductions in the mean all-cause and condition-related hospitalizations, with 50 and 110 fewer hospitalizations per 1000 patients, respectively. Overall, the all-cause hospital days decreased by 1.07 (95{\%} CI −1.76 to −0.39) days per patient. For hospitalized patients, the mean hospital stay for condition-related hospitalizations decreased by 0.89 (95{\%} CI −1.42 to −0.36) days. The effects were similar between telehealth types and health conditions. A trend was observed for studies with longer follow-up periods yielding larger effects. Conclusions: Small to moderate reductions in hospital service use can be achieved using telehealth. It should be noted that, despite the large number of included studies, uncertainties around the magnitude of effects remain, and not all effects are statistically significant. ", issn="1438-8871", doi="10.2196/25195", url="//www.mybigtv.com/2021/9/e25195", url="https://doi.org/10.2196/25195", url="http://www.ncbi.nlm.nih.gov/pubmed/34468324" }