Division of General Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
J Am Med Inform Assoc. 2019 Oct 1;26(10):1129-1140. doi: 10.1093/jamia/ocz065.
The study sought to identify barriers to and facilitators of point-of-care information seeking and use of knowledge resources.
We searched MEDLINE, Embase, PsycINFO, and Cochrane Library from 1991 to February 2017. We included qualitative studies in any language exploring barriers to and facilitators of point-of-care information seeking or use of electronic knowledge resources. Two authors independently extracted data on users, study design, and study quality. We inductively identified specific barriers or facilitators and from these synthesized a model of key determinants of information-seeking behaviors.
Forty-five qualitative studies were included, reporting data derived from interviews (n = 26), focus groups (n = 21), ethnographies (n = 6), logs (n = 4), and usability studies (n = 2). Most studies were performed within the context of general medicine (n = 28) or medical specialties (n = 13). We inductively identified 58 specific barriers and facilitators and then created a model reflecting 5 key determinants of information-seeking behaviors: time includes subthemes of time availability, efficiency of information seeking, and urgency of information need; accessibility includes subthemes of hardware access, hardware speed, hardware portability, information restriction, and cost of resources; personal skills and attitudes includes subthemes of computer literacy, information-seeking skills, and contextual attitudes about information seeking; institutional attitudes, cultures, and policies includes subthemes describing external individual and institutional information-seeking influences; and knowledge resource features includes subthemes describing information-seeking efficiency, information content, information organization, resource familiarity, information credibility, information currency, workflow integration, compatibility of recommendations with local processes, and patient educational support.
Addressing these determinants of information-seeking behaviors may facilitate clinicians' question answering to improve patient care.
本研究旨在确定影响医护人员即时信息检索和利用知识资源的障碍因素和促进因素。
我们检索了 1991 年至 2017 年 2 月期间的 MEDLINE、Embase、PsycINFO 和 Cochrane Library,纳入了任何语言的定性研究,旨在探索即时信息检索或使用电子知识资源的障碍因素和促进因素。两位作者独立提取有关用户、研究设计和研究质量的数据。我们归纳出具体的障碍因素和促进因素,并从这些因素中综合出信息检索行为的关键决定因素模型。
共纳入 45 项定性研究,报告了来自访谈(n=26)、焦点小组(n=21)、民族志(n=6)、日志(n=4)和可用性研究(n=2)的数据。大多数研究是在普通医学(n=28)或医学专业(n=13)背景下进行的。我们归纳出 58 个具体的障碍因素和促进因素,然后创建了一个反映信息检索行为 5 个关键决定因素的模型:时间,包括时间可用性、信息检索效率和信息需求紧迫性的子主题;可及性,包括硬件访问、硬件速度、硬件便携性、信息限制和资源成本的子主题;个人技能和态度,包括计算机素养、信息检索技能和关于信息检索的背景态度的子主题;机构态度、文化和政策,包括描述个人和机构外部信息检索影响的子主题;以及知识资源特征,包括描述信息检索效率、信息内容、信息组织、资源熟悉度、信息可信度、信息时效性、工作流程整合、推荐与本地流程的兼容性以及患者教育支持的子主题。
针对这些信息检索行为的决定因素进行干预,可能有助于临床医生回答问题,从而改善患者护理。