Reducing outpatient wait times through telemedicine: a systematic review and quantitative analysis.

IF 2.3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMJ Open Pub Date : 2025-01-30 DOI:10.1136/bmjopen-2024-088153
Angelo Capodici, Francesca Noci, Sabina Nuti, Michele Emdin, Stefano Dalmiani, Claudio Passino, Tina Hernandez-Boussard, Alberto Giannoni
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Abstract

Objectives: Population ageing and the rise in chronic diseases place continual stress on healthcare systems. Scarce resources often impede equitable access to healthcare, particularly in rural areas, resulting in prolonged waiting times and heightened risks of morbidity and mortality. Telemedicine has emerged as a promising solution, offering remote and equitable care that could potentially bridge access gaps and enhance health outcomes. This systematic review aims to quantitatively examine the impact of telemedicine implementation on waiting times, defined as the time passed from the booking of a visit for an outpatient to the administration of the service.

Design: A systematic review was conducted using studies on telemedicine interventions that specifically addressed waiting times. Bias assessment was performed with three tools: ROBINS-I ("Risk of Bias In Non-Randomized Studies of Interventions"), AXIS ("Appraisal tool for Cross-Sectional Studies") and RoB-2 ("Risk of Bias-2"). A weighted mean approach was used to synthesise results, with medians synthesised using a median approach.

Data sources: Articles in English were retrieved from the PubMed and Scopus databases.

Eligibility criteria: Studies were excluded if they did not specifically address waiting times related to telemedicine interventions. Only studies that considered waiting times defined as the time passed from the booking of a visit for an outpatient to the administration of the service and any telemedicine intervention were included.

Data extraction and synthesis: A total of 53 records were included, encompassing 270 388 patients in both the experimental and control groups. The weighted mean reduction in waiting times was calculated, and bias was assessed. No record was evaluated to be at high risk of bias, with 69.8% of studies evaluated at low risk and 26.4% at moderate risk (3.8% were surveys). Results were synthesised using a weighted mean approach for studies reporting means, and a median approach for studies reporting medians.

Results: Overall, a weighted mean reduction of 25.4 days in waiting times was observed. Focusing on clinical specialties (n=114 042), the weighted mean reduction amounted to 34.7 days, while in surgical patients (n=156 346), telemedicine was associated with a weighted mean of 17.3 days saved.

Conclusions: The implementation of telemedicine solutions may significantly improve waiting times, potentially leading to more efficient and equitable healthcare systems.

Prospero registration number: CRD42023490822.

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通过远程医疗减少门诊等待时间:系统回顾和定量分析。
目标:人口老龄化和慢性病的增加给卫生保健系统带来了持续的压力。资源匮乏往往阻碍公平获得保健服务,特别是在农村地区,导致等待时间延长,发病率和死亡率增加。远程医疗已成为一种很有前途的解决办法,提供远程和公平的护理,有可能弥合获取差距并改善健康结果。本系统综述旨在定量检查远程医疗实施对等待时间的影响,等待时间定义为从门诊预约到服务管理的时间。设计:利用专门针对等待时间的远程医疗干预研究进行了系统回顾。使用三种工具进行偏倚评估:robins - 1(“非随机干预研究中的偏倚风险”)、AXIS(“横断面研究评估工具”)和rob2(“偏倚风险-2”)。采用加权平均法合成结果,采用中位数法合成中位数。数据来源:英文文章检索自PubMed和Scopus数据库。入选标准:没有明确解决与远程医疗干预相关的等待时间的研究被排除。只有考虑等待时间的研究被包括在内,等待时间定义为从门诊预约到服务管理和任何远程医疗干预的时间。数据提取与综合:共纳入53条记录,实验组和对照组共270388例患者。计算等待时间减少的加权平均值,并评估偏差。没有记录被评估为高偏倚风险,69.8%的研究被评估为低风险,26.4%的研究被评估为中等风险(3.8%为调查)。报告平均值的研究采用加权平均法,报告中位数的研究采用中位数法。结果:总体而言,观察到等待时间加权平均减少25.4天。针对临床专科(n=114 042),加权平均减少34.7天,而在外科患者(n=156 346)中,远程医疗与加权平均节省17.3天相关。结论:远程医疗解决方案的实施可能显著改善等待时间,可能导致更有效和公平的医疗保健系统。普洛斯彼罗注册号:CRD42023490822。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Open
BMJ Open MEDICINE, GENERAL & INTERNAL-
CiteScore
4.40
自引率
3.40%
发文量
4510
审稿时长
2-3 weeks
期刊介绍: BMJ Open is an online, open access journal, dedicated to publishing medical research from all disciplines and therapeutic areas. The journal publishes all research study types, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Publishing procedures are built around fully open peer review and continuous publication, publishing research online as soon as the article is ready.
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