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远程医疗慢性病管理系统有效性评估:系统评价和荟萃分析。

Evaluation of the Effectiveness of Telehealth Chronic Disease Management System: Systematic Review and Meta-analysis.

机构信息

Research Center Intelligent Equipment and Technology, Yangtze Delta Region Institute of Tsinghua University, Jiaxing, Zhejiang, China.

Department of Statistics and Actuarial Science, Faculty of Science, The University of Hong Kong, Hong Kong, Hong Kong.

出版信息

J Med Internet Res. 2023 Apr 27;25:e44256. doi: 10.2196/44256.

DOI:10.2196/44256
PMID:37103993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10176143/
Abstract

BACKGROUND

Long-term daily health monitoring and management play a more significant role in telehealth management systems nowadays, which require evaluation indicators to present patients' general health conditions and become applicable to multiple chronic diseases.

OBJECTIVE

This study aims to evaluate the effectiveness of subjective indicators of telehealth chronic disease management system (TCDMS).

METHODS

We selected Web of Science, ScienceDirect, Scopus, Cochrane library, IEEE, and Chinese National Knowledge Infrastructure and Wanfang, a Chinese medical database, and searched papers published from January 1, 2015, to July 1, 2022, regarding randomized controlled trials on the effectiveness of the telehealth system on patients with chronic diseases. The narrative review summarized the questionnaire indicators presented in the selected studies. In the meta-analysis, Mean Difference (MD) and Standardized Mean Difference (SMD) with a 95% CI were pooled depending on whether the measurements were the same. Subgroup analysis was conducted if the heterogeneity was significant, and the number of studies was sufficient.

RESULTS

Twenty RCTs with 4153 patients were included in the qualitative review. Seventeen different questionnaire-based outcomes were found, within which quality of life, psychological well-being (including depression, anxiety, and fatigue), self-management, self-efficacy, and medical adherence were most frequently used. Ten RCTs with 2095 patients remained in meta-analysis. Compared to usual care, telehealth system can significantly improve the quality of life (SMD 0.44; 95% CI 0.16-0.73; P=.002), whereas no significant effects were found on depression (SMD -0.25; 95% CI -0.72 to 0.23; P=.30), anxiety (SMD -0.10; 95% CI -0.27 to 0.07; P=.71), fatigue (SMD -0.36; 95% CI -1.06 to 0.34; P<.001), and self-care (SMD 0.77; 95% CI -0.28-1.81; P<.001). In the subdomains of quality of life, telehealth statistically significantly improved physical functioning (SMD 0.15; 95% CI 0.02 to 0.29; P=.03), mental functioning (SMD 0.37; 95% CI 0.13-0.60; P=.002), and social functioning (SMD 0.64; 95% CI 0.00-1.29; P=.05), while there was no difference on cognitive functioning (MD 8.31; 95% CI -7.33 to 23.95; P=.30) and role functioning (MD 5.30; 95% CI -7.80 to 18.39; P=.43).

CONCLUSIONS

TCDMS positively affected patients' physical, mental, and social quality of life across multiple chronic diseases. However, no significant difference was found in depression, anxiety, fatigue, and self-care. Subjective questionnaires had the potential ability to evaluate the effectiveness of long-term telehealth monitoring and management. However, further well-designed experiments are warranted to validate TCDMS's effects on subjective outcomes, especially when tested among different chronically ill groups.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/4212eb86d6fa/jmir_v25i1e44256_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/543fcc429d95/jmir_v25i1e44256_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/bd26cf0fa1e9/jmir_v25i1e44256_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/7bd58bb406b8/jmir_v25i1e44256_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/4212eb86d6fa/jmir_v25i1e44256_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/543fcc429d95/jmir_v25i1e44256_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/bd26cf0fa1e9/jmir_v25i1e44256_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/7bd58bb406b8/jmir_v25i1e44256_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2167/10176143/4212eb86d6fa/jmir_v25i1e44256_fig4.jpg
摘要

背景

长期的日常健康监测和管理在如今的远程医疗管理系统中发挥着更重要的作用,这需要评估指标来呈现患者的一般健康状况,并适用于多种慢性病。

目的

本研究旨在评估远程医疗慢性病管理系统(TCDMS)主观指标的有效性。

方法

我们选择了 Web of Science、ScienceDirect、Scopus、Cochrane 图书馆、IEEE 和中国国家知识基础设施以及中国医学数据库万方,检索了 2015 年 1 月 1 日至 2022 年 7 月 1 日期间关于远程医疗系统对慢性病患者有效性的随机对照试验的论文。叙述性综述总结了所选研究中提出的问卷指标。在荟萃分析中,根据测量是否相同,采用均数差(MD)和标准化均数差(SMD)及其 95%置信区间进行汇总。如果存在显著异质性且研究数量充足,则进行亚组分析。

结果

纳入了 20 项包含 4153 名患者的 RCT 进行定性综述。发现了 17 种不同的基于问卷的结果,其中生活质量、心理幸福感(包括抑郁、焦虑和疲劳)、自我管理、自我效能和医疗依从性最常被使用。10 项 RCT 纳入了 2095 名患者进行荟萃分析。与常规护理相比,远程医疗系统可以显著改善生活质量(SMD 0.44;95%CI 0.16-0.73;P=.002),而在抑郁(SMD -0.25;95%CI -0.72 至 0.23;P=.30)、焦虑(SMD -0.10;95%CI -0.27 至 0.07;P=.71)、疲劳(SMD -0.36;95%CI -1.06 至 0.34;P<.001)和自我护理(SMD 0.77;95%CI -0.28-1.81;P<.001)方面没有显著效果。在生活质量的子领域中,远程医疗在身体功能(SMD 0.15;95%CI 0.02 至 0.29;P=.03)、心理功能(SMD 0.37;95%CI 0.13-0.60;P=.002)和社会功能(SMD 0.64;95%CI 0.00-1.29;P=.05)方面有统计学显著改善,而在认知功能(MD 8.31;95%CI -7.33 至 23.95;P=.30)和角色功能(MD 5.30;95%CI -7.80 至 18.39;P=.43)方面没有差异。

结论

TCDMS 对多种慢性病患者的身体、心理和社会生活质量产生了积极影响。然而,在抑郁、焦虑、疲劳和自我护理方面没有显著差异。主观问卷具有评估远程医疗长期监测和管理效果的潜力。然而,需要进一步设计良好的实验来验证 TCDMS 在主观结果方面的效果,特别是在不同慢性病患者群体中进行测试时。