Multi-level analysis of electronic health record adoption by health care professionals: a study protocol.
Multi-level analysis of electronic health record adoption by health care professionals: a study protocol.
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DOI：
10.1186/1748-5908-5-30
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发表时间：
2010-04-23
期刊：
影响因子：
--
通讯作者：
Ben Abdeljelil A
中科院分区：
文献类型：
--
作者：
Gagnon MP;Ouimet M;Godin G;Rousseau M;Labrecque M;Leduc Y;Ben Abdeljelil A
电子健康记录（EHR）是信息和通信技术在医疗保健领域的重要应用。电子病历的实施预计将为患者、专业人员、组织和整个人群带来好处。如果医疗保健专业人员不采用 EHR，这些好处就无法实现。然而，个人和组织因素对电子病历采用的影响仍不清楚。本研究旨在评估个人和组织因素对医疗保健环境中 EHR 采用的独特贡献，以及这些因素之间可能的相互关系。将进行一项前瞻性研究。将采用分层随机抽样方法在加拿大魁北克市卫生区选择 50 个医疗机构。在个人层面，每个组织将根据其规模选择 15 至 30 名卫生专业人员作为样本。将向每个组织的两名关键知情人发放半结构化调查问卷，以收集组织数据。 EHR 采用的综合采用分数将根据德尔菲流程制定，并将用作结果变量。第一次联系后十二到十八个月，根据 EHR 实施的速度，将再次联系关键信息提供者和临床医生，以监测 EHR 采用的进展。将应用多级回归模型来确定临床环境中采用 EHR 的组织和个人决定因素。如有必要，将应用替代分析模型。该研究将评估组织和个人因素及其相互作用对临床环境中 EHR 实施的贡献。这些结果对于面临在医疗保健系统中实施 EHR 挑战的决策者和管理者来说非常重要。此外，这项研究对知识转移和实施科学领域做出了重大贡献。
The electronic health record (EHR) is an important application of information and communication technologies to the healthcare sector. EHR implementation is expected to produce benefits for patients, professionals, organisations, and the population as a whole. These benefits cannot be achieved without the adoption of EHR by healthcare professionals. Nevertheless, the influence of individual and organisational factors in determining EHR adoption is still unclear. This study aims to assess the unique contribution of individual and organisational factors on EHR adoption in healthcare settings, as well as possible interrelations between these factors. A prospective study will be conducted. A stratified random sampling method will be used to select 50 healthcare organisations in the Quebec City Health Region (Canada). At the individual level, a sample of 15 to 30 health professionals will be chosen within each organisation depending on its size. A semi-structured questionnaire will be administered to two key informants in each organisation to collect organisational data. A composite adoption score of EHR adoption will be developed based on a Delphi process and will be used as the outcome variable. Twelve to eighteen months after the first contact, depending on the pace of EHR implementation, key informants and clinicians will be contacted once again to monitor the evolution of EHR adoption. A multilevel regression model will be applied to identify the organisational and individual determinants of EHR adoption in clinical settings. Alternative analytical models would be applied if necessary. The study will assess the contribution of organisational and individual factors, as well as their interactions, to the implementation of EHR in clinical settings. These results will be very relevant for decision makers and managers who are facing the challenge of implementing EHR in the healthcare system. In addition, this research constitutes a major contribution to the field of knowledge transfer and implementation science.
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DOI：
10.1016/0749-5978(91)90020-t
发表时间：
1991-12-01
影响因子：
4.6
作者：
AJZEN, I
通讯作者：
AJZEN, I
影响因子：
2.5
作者：
Adewale, Adeniyi J.;Hayduk, Leslie;Derksen, Linda
通讯作者：
Derksen, Linda
影响因子：
5.4
作者：
ANDERSON, JC
通讯作者：
ANDERSON, JC
影响因子：
3.2
作者：
DAVIDSON, AR;JACCARD, JJ;DIAZGUERRERO, R
通讯作者：
DIAZGUERRERO, R
影响因子：
7.3
作者：
DAVIS, FD
通讯作者：
DAVIS, FD