远程医疗
系统回顾
成本效益分析
计算机科学
风险分析(工程)
管理科学
梅德林
医学
成本效益
工程类
医疗保健
经济
政治学
经济增长
法学
作者
Rosalind Bell-Aldeghi,Benjamin Gibrat,Thomas Rapp,Pauline Chauvin,Morgane Le Guern,Nathalie Billaudeau,Karim Ould-Kaci,Christine Sévilla-Dedieu
出处
期刊:Telemedicine Journal and E-health
[Mary Ann Liebert, Inc.]
日期:2022-12-09
卷期号:29 (7): 1078-1087
被引量:11
标识
DOI:10.1089/tmj.2022.0161
摘要
Background and Objectives: Telemedicine holds the promise of increasing access-to-care at a lower cost. Yet, for years, the evidence of telemedicine's cost-effectiveness was scarce. Faced with a rapidly expanding literature, we conduct both manual and systematic selection of the literature, and analyzed the data to determine: (1) the characteristics of economic evaluations of telemedicine, and (2) the determinants of economically efficient telemedicine interventions.Methods: We reviewed all published economic evaluations of telemedicine in Cochrane, Embase, and Pubmed from 2008 to 2018. Articles were screened by two researchers first on title and abstract (Stage 1), then on full article (Stage 2), (protocol available on PROSPERO, ref. CRD42019143032). We proposed an alternative method for screening articles using machine learning based on textual classification and compared these two approaches. We constructed an exclusive dataset on the characteristics of the selected articles and enriched it using OECD data at the country level. We identified the determinants of efficient telemedicine interventions using multiple logit models.Results and Conclusion: We included 156 articles out of 2,639. Most economic studies of our sample regard telemonitoring. A majority (73.7%) of studies found that telemedicine intervention is efficient, regardless of the medical domain. Articles with higher standards of economic evaluation (cost-effectiveness analysis, randomized trials with high sample size) were less likely to report an efficient intervention. We found no effect of the publication year, signifying that the nature of the evidence has not changed over time.
科研通智能强力驱动
Strongly Powered by AbleSci AI