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基于证据的周末服务建议在卫生管理人员中的实施:一项整群随机对照试验方案。

Implementation of evidence-based weekend service recommendations for allied health managers: a cluster randomised controlled trial protocol.

机构信息

Monash University and Monash Health Allied Health Research Unit, Kingston Centre, 400 Warrigal Road, Heatherton, Victoria, 3192, Australia.

Monash University and Monash Health Allied Health Research Unit, Kingston Centre, 400 Warrigal Road, Heatherton, Victoria, 3202, Australia.

出版信息

Implement Sci. 2018 Apr 24;13(1):60. doi: 10.1186/s13012-018-0752-7.

DOI:10.1186/s13012-018-0752-7
PMID:29690882
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5916715/
Abstract

BACKGROUND

It is widely acknowledged that health policy and practice do not always reflect current research evidence. Whether knowledge transfer from research to practice is more successful when specific implementation approaches are used remains unclear. A model to assist engagement of allied health managers and clinicians with research implementation could involve disseminating evidence-based policy recommendations, along with the use of knowledge brokers. We developed such a model to aid decision-making for the provision of weekend allied health services. This protocol outlines the design and methods for a multi-centre cluster randomised controlled trial to evaluate the success of research implementation strategies to promote evidence-informed weekend allied health resource allocation decisions, especially in hospital managers.

METHODS

This multi-centre study will be a three-group parallel cluster randomised controlled trial. Allied health managers from Australian and New Zealand hospitals will be randomised to receive either (1) an evidence-based policy recommendation document to guide weekend allied health resource allocation decisions, (2) the same policy recommendation document with support from a knowledge broker to help implement weekend allied health policy recommendations, or (3) a usual practice control group. The primary outcome will be alignment of weekend allied health service provision with policy recommendations. This will be measured by the number of allied health service events (occasions of service) occurring on weekends as a proportion of total allied health service events for the relevant hospital wards at baseline and 12-month follow-up.

DISCUSSION

Evidence-based policy recommendation documents communicate key research findings in an accessible format. This comparatively low-cost research implementation strategy could be combined with using a knowledge broker to work collaboratively with decision-makers to promote knowledge transfer. The results will assist managers to make decisions on resource allocation, based on evidence. More generally, the findings will inform the development of an allied health model for translating research into practice.

TRIAL REGISTRATION

This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) ( ACTRN12618000029291 ). Universal Trial Number (UTN): U1111-1205-2621.

摘要

背景

人们普遍认识到,卫生政策和实践并不总是反映当前的研究证据。在使用特定实施方法的情况下,知识从研究到实践的转移是否更成功仍不清楚。一个帮助医疗保健管理人员和临床医生参与研究实施的模型可以包括传播基于证据的政策建议,以及使用知识经纪人。我们开发了这样一个模型,以帮助决策提供周末医疗服务。本方案概述了一项多中心群组随机对照试验的设计和方法,以评估促进证据知情的周末医疗资源分配决策的研究实施策略的成功,特别是在医院管理者中。

方法

这项多中心研究将是一个三组平行群组随机对照试验。澳大利亚和新西兰医院的医疗保健管理人员将被随机分配到以下三个组之一:(1)一份指导周末医疗资源分配决策的基于证据的政策建议文件,(2)同一份政策建议文件,附有知识经纪人的支持,以帮助实施周末医疗政策建议,或(3)一个常规实践对照组。主要结果将是周末医疗服务的提供与政策建议的一致性。这将通过基线和 12 个月随访时相关医院病房的周末医疗服务事件(服务次数)与总医疗服务事件的比例来衡量。

讨论

基于证据的政策建议文件以易于理解的格式传达关键研究结果。这种相对低成本的研究实施策略可以与使用知识经纪人相结合,与决策者合作,促进知识转移。研究结果将帮助管理者根据证据做出资源分配决策。更广泛地说,研究结果将为将研究转化为实践的医疗保健模型的发展提供信息。

试验注册

本试验在澳大利亚和新西兰临床试验注册中心(ANZCTR)注册(ACTRN12618000029291)。通用试验编号(UTN):U1111-1205-2621。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c035/5916715/220e753acb2d/13012_2018_752_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c035/5916715/220e753acb2d/13012_2018_752_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c035/5916715/220e753acb2d/13012_2018_752_Fig1_HTML.jpg

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