Global strategies to reduce elective surgery waiting times for sustainable health outcomes: a systematic review

医学 择期手术 心理干预 重症监护医学 医疗保健 外科 普通外科 护理部 经济增长 经济
作者
Dimuthu Rathnayake,Mike Clarke,Viraj Jayasinghe
出处
期刊:Hospital practice [Taylor & Francis]
卷期号:53 (1): 2435802-2435802 被引量:7
标识
DOI:10.1080/21548331.2024.2435802
摘要

OBJECTIVE: Long waiting times for elective surgery reflect not just backlog issues but systemic inefficiencies that disrupt the smooth flow of patients through the surgical care pathway. This systematic review adopts a holistic approach to summarize global policies, strategies, and interventions aimed at reducing elective surgery wait times. METHOD: A comprehensive electronic search was performed in PubMed, EMBASE, SCOPUS, Web of Science, and Cochrane Library from December 2019 to January 2020 and updated in April 2022. Eligible studies, published after 2013, focused on waiting lists for major elective surgeries in adults, excluding cancer-related surgeries. Both randomized and non-randomized studies and systematic reviews were included. Study quality was assessed using ROBINS-I, AMSTAR 2, and CASP tools, as appropriate. The review was registered in PROSPERO (CRD42019158455) and reported using a PRISMA flow diagram. RESULTS: From 7543 records, 92 articles met the inclusion criteria. Evidence was categorized into seven strategic areas: referral management, patient prioritization, preventing scheduled surgery cancellations, perioperative time management, quality improvement methods for surgical care pathways, and waiting time targets for hospitals. Strategies such as referral management, patient prioritization, and preventing cancellations had the most significant impact on reducing waiting times, while perioperative time management and waiting time targets proved less effective. CONCLUSION: The review highlights that targeted interventions at different stages of the surgical care pathway yield variable impacts on overall waiting times. While individual measures had limited effects, combining multiple short-term strategies may be more beneficial, particularly for health systems recovering from the COVID-19 pandemic.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
对你如初发布了新的文献求助10
1秒前
wzt发布了新的文献求助10
2秒前
科研通AI6.4应助Qing采纳,获得10
2秒前
丘比特应助pishuang采纳,获得10
2秒前
111发布了新的文献求助10
3秒前
孤独静枫完成签到,获得积分10
3秒前
勤奋的自行车完成签到,获得积分20
3秒前
兰高锋完成签到,获得积分10
6秒前
6秒前
阿泽完成签到,获得积分10
7秒前
7秒前
7秒前
orange909完成签到,获得积分10
9秒前
开心灰狼发布了新的文献求助20
9秒前
9秒前
再见一日完成签到,获得积分10
14秒前
04d发布了新的文献求助10
14秒前
15秒前
wzt完成签到,获得积分10
15秒前
兮颜完成签到,获得积分10
16秒前
Zllu发布了新的文献求助10
17秒前
zwenng完成签到,获得积分10
17秒前
17秒前
酱酱酱酱完成签到,获得积分10
18秒前
18秒前
18秒前
合适诗蕾完成签到,获得积分10
19秒前
情怀应助Weirdo采纳,获得10
20秒前
对你如初完成签到,获得积分10
20秒前
21秒前
22秒前
今后应助赖道之采纳,获得10
22秒前
压线完成签到,获得积分10
23秒前
万晓娜发布了新的文献求助30
23秒前
阿里院士完成签到,获得积分10
24秒前
开心灰狼发布了新的文献求助20
24秒前
24秒前
超级尔白发布了新的文献求助10
24秒前
Ava应助圆圆滚滚采纳,获得10
25秒前
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629518
求助须知:如何正确求助?哪些是违规求助? 9203974
关于积分的说明 19736300
捐赠科研通 7199027
什么是DOI,文献DOI怎么找? 3274277
关于科研通互助平台的介绍 2436423
邀请新用户注册赠送积分活动 2270424