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医疗保健机构中支持循证决策的横断面调查:一项研究方案。

A cross-sectional survey of supports for evidence-informed decision-making in healthcare organisations: a research protocol.

作者信息

Ouimet Mathieu, Lavis John N, Léon Grégory, Ellen Moriah E, Bédard Pierre-Olivier, Grimshaw Jeremy M, Gagnon Marie-Pierre

机构信息

Centre Hospitalier Universitaire de Québec Research Centre, Québec City, Quebec, Canada.

Department of Political Science, Université Laval, Québec City, Quebec, Canada.

出版信息

Implement Sci. 2014 Oct 9;9:146. doi: 10.1186/s13012-014-0146-4.

Abstract

BACKGROUND

This protocol builds on the development of a) a framework that identified the various supports (i.e. positions, activities, interventions) that a healthcare organisation or health system can implement for evidence-informed decision-making (EIDM) and b) a qualitative study that showed the current mix of supports that some Canadian healthcare organisations have in place and the ones that are perceived to facilitate the use of research evidence in decision-making. Based on these findings, we developed a web survey to collect cross-sectional data about the specific supports that regional health authorities and hospitals in two Canadian provinces (Ontario and Quebec) have in place to facilitate EIDM.

METHODS/DESIGN: This paper describes the methods for a cross-sectional web survey among 32 regional health authorities and 253 hospitals in the provinces of Quebec and Ontario (Canada) to collect data on the current mix of organisational supports that these organisations have in place to facilitate evidence-informed decision-making. The data will be obtained through a two-step survey design: a 10-min survey among CEOs to identify key units and individuals in regard to our objectives (step 1) and a 20-min survey among managers of the key units identified in step 1 to collect information about the activities performed by their unit regarding the acquisition, assessment, adaptation and/or dissemination of research evidence in decision-making (step 2). The study will target three types of informants: CEOs, library/documentation centre managers and all other key managers whose unit is involved in the acquisition, assessment, adaptation/packaging and/or dissemination of research evidence in decision-making. We developed an innovative data collection system to increase the likelihood that only the best-informed respondent available answers each survey question. The reporting of the results will be done using descriptive statistics of supports by organisation type and by province.

DISCUSSION

This study will be the first to collect and report large-scale cross-sectional data on the current mix of supports health system organisations in the two most populous Canadian provinces have in place for evidence-informed decision-making. The study will also provide useful information to researchers on how to collect organisation-level data with reduced risk of self-reporting bias.

摘要

背景

本方案基于以下两项研究成果:a)开发了一个框架,用以确定医疗保健组织或卫生系统为循证决策(EIDM)可实施的各种支持措施(即职位、活动、干预措施);b)一项定性研究,该研究表明了加拿大一些医疗保健组织目前所具备的支持措施组合以及那些被认为有助于在决策中使用研究证据的措施。基于这些发现,我们开展了一项网络调查,以收集有关加拿大两个省份(安大略省和魁北克省)的地区卫生当局和医院为促进循证决策而实施的具体支持措施的横断面数据。

方法/设计:本文描述了在加拿大魁北克省和安大略省的32个地区卫生当局和253家医院中进行横断面网络调查的方法,以收集有关这些组织为促进循证决策而实施的当前组织支持措施组合的数据。数据将通过两步调查设计获得:第一步,对首席执行官进行为期10分钟的调查,以确定与我们的目标相关的关键部门和人员;第二步,对第一步中确定的关键部门的经理进行为期20分钟的调查,以收集有关其部门在决策过程中获取、评估、改编和/或传播研究证据方面所开展活动的信息。该研究将针对三类受访者:首席执行官、图书馆/文献中心经理以及其部门参与决策过程中研究证据的获取、评估、改编/打包和/或传播的所有其他关键经理。我们开发了一个创新的数据收集系统,以提高只有最了解情况的受访者回答每个调查问题的可能性。结果报告将使用按组织类型和省份分类的支持措施描述性统计数据。

讨论

本研究将首次收集并报告关于加拿大人口最多的两个省份的卫生系统组织为循证决策而实施的当前支持措施组合的大规模横断面数据。该研究还将为研究人员提供有用信息,说明如何在降低自我报告偏差风险的情况下收集组织层面的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa40/4197221/7dcc2aca6098/13012_2014_Article_146_Fig1_HTML.jpg

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