Capodici Angelo, Noci Francesca, Nuti Sabina, Emdin Michele, Dalmiani Stefano, Passino Claudio, Hernandez-Boussard Tina, Giannoni Alberto
Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Interdisciplinary Research Center for Health Science, Sant'Anna School of Advanced Studies, Pisa, Italy.
BMJ Open. 2025 Jan 30;15(1):e088153. doi: 10.1136/bmjopen-2024-088153.
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.
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.
Articles in English were retrieved from the PubMed and Scopus databases.
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.
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.
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.
The implementation of telemedicine solutions may significantly improve waiting times, potentially leading to more efficient and equitable healthcare systems.
CRD42023490822.
人口老龄化和慢性病的增加给医疗系统带来持续压力。资源稀缺常常阻碍公平获得医疗服务,尤其是在农村地区,导致等待时间延长,发病和死亡风险增加。远程医疗已成为一种有前景的解决方案,提供远程和公平的医疗服务,有可能弥合医疗服务可及性差距并改善健康结果。本系统评价旨在定量研究远程医疗实施对等待时间的影响,等待时间定义为从预约门诊就诊到提供服务之间经过的时间。
采用专门针对等待时间的远程医疗干预研究进行系统评价。使用三种工具进行偏倚评估:ROBINS-I(“干预非随机研究中的偏倚风险”)、AXIS(“横断面研究评估工具”)和RoB-2(“偏倚风险-2”)。采用加权均值法综合结果,中位数采用中位数法综合。
从PubMed和Scopus数据库检索英文文章。
如果研究未专门涉及与远程医疗干预相关的等待时间,则将其排除。仅纳入将等待时间定义为从预约门诊就诊到提供服务之间经过的时间以及任何远程医疗干预的研究。
共纳入53条记录,实验组和对照组共有270388名患者。计算等待时间的加权平均缩短值,并评估偏倚。没有记录被评估为高偏倚风险,69.8%的研究被评估为低偏倚风险,26.4%为中度偏倚风险(3.8%为调查研究)。对于报告均值的研究,采用加权均值法综合结果;对于报告中位数的研究,采用中位数法综合结果。
总体而言,观察到等待时间加权平均缩短25.4天。聚焦于临床专科(n = 114042),加权平均缩短达34.7天,而在外科患者中(n = 156346),远程医疗使加权平均节省17.3天。
远程医疗解决方案的实施可能显著改善等待时间,有可能带来更高效和公平的医疗系统。
PROSPERO注册号:CRD42023490822。