基于受保护预约的等候名单策略与门诊和社区卫生服务的等候时间减少有关:一项系统回顾和荟萃分析。

IF 2.2 4区 医学 Q3 HEALTH POLICY & SERVICES
Kate E Noeske, Nicholas F Taylor, Annie K Lewis, Katherine E Harding
{"title":"基于受保护预约的等候名单策略与门诊和社区卫生服务的等候时间减少有关:一项系统回顾和荟萃分析。","authors":"Kate E Noeske, Nicholas F Taylor, Annie K Lewis, Katherine E Harding","doi":"10.1177/13558196261428359","DOIUrl":null,"url":null,"abstract":"<p><p>ObjectivesMany different approaches are used to manage demand and reduce waiting lists in outpatient and community health settings. This systematic review aimed to synthesise evidence for models of care which are based on the principle of protecting capacity for new patients.MethodsWe conducted a systematic search of Medline (Ovid), Embase, PyscINFO and CINAHL from inception until April 2024. Eligible studies included use of a protected appointment model in an outpatient and community health service and compared data on measures of waiting. Two reviewers independently extracted data and assessed risk of bias. Methodological quality was assessed using the Downs and Black checklist. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework was used to evaluate evidence certainty for meta-analyses.ResultsA total of 26 studies were included in the review. Most studies described a specific, named model incorporating protected appointments, such as Open Access (n = 7), Advanced Access (n = 6), the Specific Timely Assessment and Triage Model (n = 6), and the Choice and Partnership Approach (n = 4). A single stepped wedge randomised controlled trial (n = 3,113) provided moderate certainty evidence of a large reduction in time from referral to first appointment (IRR -0.66, 95% CI -0.85 to -0.52), with a median reduction of 34%. Eight non-randomised studies of intervention (n = 43,655) provided moderate certainty evidence of a moderate to large reduction in waiting time (SMD = -0.66, 95% CI -0.95 to -0.36) with a weighted mean reduction of 81%. Studies that could not be included in the meta-analyses supported these findings. Five studies measured waiting list size and all reported reductions ranging from 44% to 98%. Other findings associated with interventions included increased service productivity and improved patient satisfaction.ConclusionsWaiting list reduction strategies incorporating protected appointments are associated with moderate to large reductions in waiting time in outpatient and community health services.</p>","PeriodicalId":15953,"journal":{"name":"Journal of Health Services Research & Policy","volume":" ","pages":"286-300"},"PeriodicalIF":2.2000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Protected appointment-based waiting list strategies are associated with waiting time reductions in outpatient and community health services: A systematic review and meta-analysis.\",\"authors\":\"Kate E Noeske, Nicholas F Taylor, Annie K Lewis, Katherine E Harding\",\"doi\":\"10.1177/13558196261428359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>ObjectivesMany different approaches are used to manage demand and reduce waiting lists in outpatient and community health settings. This systematic review aimed to synthesise evidence for models of care which are based on the principle of protecting capacity for new patients.MethodsWe conducted a systematic search of Medline (Ovid), Embase, PyscINFO and CINAHL from inception until April 2024. Eligible studies included use of a protected appointment model in an outpatient and community health service and compared data on measures of waiting. Two reviewers independently extracted data and assessed risk of bias. Methodological quality was assessed using the Downs and Black checklist. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework was used to evaluate evidence certainty for meta-analyses.ResultsA total of 26 studies were included in the review. Most studies described a specific, named model incorporating protected appointments, such as Open Access (n = 7), Advanced Access (n = 6), the Specific Timely Assessment and Triage Model (n = 6), and the Choice and Partnership Approach (n = 4). A single stepped wedge randomised controlled trial (n = 3,113) provided moderate certainty evidence of a large reduction in time from referral to first appointment (IRR -0.66, 95% CI -0.85 to -0.52), with a median reduction of 34%. Eight non-randomised studies of intervention (n = 43,655) provided moderate certainty evidence of a moderate to large reduction in waiting time (SMD = -0.66, 95% CI -0.95 to -0.36) with a weighted mean reduction of 81%. Studies that could not be included in the meta-analyses supported these findings. Five studies measured waiting list size and all reported reductions ranging from 44% to 98%. Other findings associated with interventions included increased service productivity and improved patient satisfaction.ConclusionsWaiting list reduction strategies incorporating protected appointments are associated with moderate to large reductions in waiting time in outpatient and community health services.</p>\",\"PeriodicalId\":15953,\"journal\":{\"name\":\"Journal of Health Services Research & Policy\",\"volume\":\" \",\"pages\":\"286-300\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2026-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Health Services Research & Policy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/13558196261428359\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/2/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Health Services Research & Policy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/13558196261428359","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

目的在门诊和社区卫生机构中,许多不同的方法用于管理需求和减少等候名单。本系统综述旨在综合基于新患者保护能力原则的护理模式的证据。方法系统检索Medline (Ovid)、Embase、PyscINFO、CINAHL数据库自建站至2024年4月。符合条件的研究包括在门诊和社区卫生服务中使用受保护的预约模式,并比较了等待措施的数据。两名审稿人独立提取数据并评估偏倚风险。使用Downs和Black检查表评估方法学质量。推荐、评估、发展和评价分级(GRADE)框架用于评估荟萃分析的证据确定性。结果共纳入26项研究。大多数研究描述了一个特定的命名模型,包括受保护的预约,如开放获取(n = 7),高级获取(n = 6),特定及时评估和分类模型(n = 6),以及选择和伙伴关系方法(n = 4)。一项单阶梯楔形随机对照试验(n = 3113)提供了中等确定性的证据,证明从转诊到首次预约的时间大大缩短(IRR -0.66, 95% CI -0.85至-0.52),中位数减少34%。8项干预的非随机研究(n = 43,655)提供了中等确定性的证据,表明等待时间中到大程度地减少(SMD = -0.66, 95% CI -0.95至-0.36),加权平均减少81%。未被纳入meta分析的研究支持了这些发现。五项研究测量了等待名单的大小,所有研究都报告减少了44%到98%。与干预措施相关的其他发现包括服务效率的提高和患者满意度的提高。结论:纳入受保护预约的轮候名单减少策略与门诊和社区卫生服务轮候时间的中等到大量减少有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protected appointment-based waiting list strategies are associated with waiting time reductions in outpatient and community health services: A systematic review and meta-analysis.

ObjectivesMany different approaches are used to manage demand and reduce waiting lists in outpatient and community health settings. This systematic review aimed to synthesise evidence for models of care which are based on the principle of protecting capacity for new patients.MethodsWe conducted a systematic search of Medline (Ovid), Embase, PyscINFO and CINAHL from inception until April 2024. Eligible studies included use of a protected appointment model in an outpatient and community health service and compared data on measures of waiting. Two reviewers independently extracted data and assessed risk of bias. Methodological quality was assessed using the Downs and Black checklist. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework was used to evaluate evidence certainty for meta-analyses.ResultsA total of 26 studies were included in the review. Most studies described a specific, named model incorporating protected appointments, such as Open Access (n = 7), Advanced Access (n = 6), the Specific Timely Assessment and Triage Model (n = 6), and the Choice and Partnership Approach (n = 4). A single stepped wedge randomised controlled trial (n = 3,113) provided moderate certainty evidence of a large reduction in time from referral to first appointment (IRR -0.66, 95% CI -0.85 to -0.52), with a median reduction of 34%. Eight non-randomised studies of intervention (n = 43,655) provided moderate certainty evidence of a moderate to large reduction in waiting time (SMD = -0.66, 95% CI -0.95 to -0.36) with a weighted mean reduction of 81%. Studies that could not be included in the meta-analyses supported these findings. Five studies measured waiting list size and all reported reductions ranging from 44% to 98%. Other findings associated with interventions included increased service productivity and improved patient satisfaction.ConclusionsWaiting list reduction strategies incorporating protected appointments are associated with moderate to large reductions in waiting time in outpatient and community health services.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.40
自引率
4.20%
发文量
39
期刊介绍: Journal of Health Services Research & Policy provides a unique opportunity to explore the ideas, policies and decisions shaping health services throughout the world. Edited and peer-reviewed by experts in the field and with a high academic standard and multidisciplinary approach, readers will gain a greater understanding of the current issues in healthcare policy and research. The journal"s strong international editorial advisory board also ensures that readers obtain a truly global and insightful perspective.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书