Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.

Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.
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DOI:
10.1186/s12911-017-0538-x
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发表时间:
2017-09-25
影响因子:
3.5
通讯作者:
Chapron A
Chapron A
中科院分区:
医学3区
文献类型:
--
作者:
Gentil ML;Cuggia M;Fiquet L;Hagenbourger C;Le Berre T;Banâtre A;Renault E;Bouzille G;Chapron A

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考虑到全科医生 (GP) 作为患者护理协调员的重要作用,从电子健康记录中收集的初级护理数据至关重要。这些数据代表了患者病史的综合,也全面反映了人口健康状况。然而,各国之间在常规数据收集项目方面存在差异。因此,我们想要确定影响此类项目的开发和持久性的因素。使用 PubMed 数据库进行了系统回顾,以确定全球当前的初级保健数据收集项目。还通过官方项目网站搜索灰色文献,并向其联系人发送电子邮件以获取有关项目经理的信息。采用标准化形式从纳入的研究中检索数据,筛选了四个方面:项目特征、技术基础设施、GP的角色、数据收集网络组织。文献检索确定了 36 个常规数据收集网络,大部分位于英语国家:英国的 CPRD 和 THIN、美国的退伍军人健康管理局项目、加拿大的 EMRALD 和 CPCSSN。这些项目的共同点是使用从提取工具到综合计算平台的技术设施。此外,全科医生发起了提取过程,并从参与激励中受益。最后,对文献数据的分析强调,政府服务、学术机构(包括全科医学部门)和软件公司对于初级保健数据收集项目的推广和持久性至关重要。推动和支持长期、广泛的初级保健数据收集项目需要坚实的技术设施以及强有力的学术和政府支持。
Primary care data gathered from Electronic Health Records are of the utmost interest considering the essential role of general practitioners (GPs) as coordinators of patient care. These data represent the synthesis of the patient history and also give a comprehensive picture of the population health status. Nevertheless, discrepancies between countries exist concerning routine data collection projects. Therefore, we wanted to identify elements that influence the development and durability of such projects. A systematic review was conducted using the PubMed database to identify worldwide current primary care data collection projects. The gray literature was also searched via official project websites and their contact person was emailed to obtain information on the project managers. Data were retrieved from the included studies using a standardized form, screening four aspects: projects features, technological infrastructure, GPs’ roles, data collection network organization. The literature search allowed identifying 36 routine data collection networks, mostly in English-speaking countries: CPRD and THIN in the United Kingdom, the Veterans Health Administration project in the United States, EMRALD and CPCSSN in Canada. These projects had in common the use of technical facilities that range from extraction tools to comprehensive computing platforms. Moreover, GPs initiated the extraction process and benefited from incentives for their participation. Finally, analysis of the literature data highlighted that governmental services, academic institutions, including departments of general practice, and software companies, are pivotal for the promotion and durability of primary care data collection projects. Solid technical facilities and strong academic and governmental support are required for promoting and supporting long-term and wide-range primary care data collection projects.
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