five

Effectiveness of telemedicine in bronchial asthma: a network meta-analysis

收藏
Figshare2026-01-28 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Effectiveness_of_telemedicine_in_bronchial_asthma_A_network_meta-analysis/31171220
下载链接
链接失效反馈
官方服务:
资源简介:
This study aimed to synthesize existing evidence comparing telemedicine with usual care and to examine the relative effectiveness of different telemedicine strategies in the management of asthma among adults. A systematic search of MEDLINE/PubMed, Cochrane Library, Web of Science, and Scopus identified randomized clinical trials published from inception until March 16, 2025. Telemedicine interventions were categorized as case management, consultation, education, monitoring, reminding, or combined approaches. Outcomes included asthma control, quality of life (QoL), and medication adherence. Results were synthesized using network meta-analysis and expressed as standardized mean differences (SMDs) or risk ratios (RRs) with 95% confidence intervals (CIs). Thirty-nine trials were included. Compared to usual care, asthma control improved significantly with combined strategies (N = 14; SMD:–0.55; 95%CI:–0.85, −0.25; p N = 3; SMD:–0.62; 95%CI:–1.21, −0.02; p = 0.042), and tele-monitoring (N = 3; SMD:–1.20; 95%CI:–1.97, −0.42; p = 0.003). No significant benefit was found for case management, consultation, or reminder strategies. Based on SUCRA rankings, tele-monitoring, tele-education, and combined approaches were most effective for asthma control. For QoL, combined strategies showed a significant benefit over usual care (SMD:0.32; 95%CI:0.02, 0.62; p = 0.037). SUCRA rankings for QoL placed tele-education first, followed by tele-monitoring and combined strategies. Telemedicine strategies, particularly monitoring, education, and combined approaches, improve asthma control and QoL in adults. However, heterogeneity in intervention design and limited reporting across outcomes suggest cautious interpretation and the need for further research before widespread clinical application.
创建时间:
2026-01-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作