Centre for Health Services and Policy Research, University of British Columbia, Vancouver, British Columbia, Canada.
Health Info Libr J. 2012 Mar;29(1):16-27. doi: 10.1111/j.1471-1842.2011.00969.x. Epub 2011 Nov 22.
Understanding the information behaviour of policy makers targeted by knowledge translation efforts is key to improving policy research impact. This study explores the reported information behaviour of pharmaceutical policy decision-makers in Canada, a country highly associated with evidence-based practice yet still facing substantial barriers to evidence-informed health policy.
We conducted semi-structured telephone interviews with a purposive sample of 15 Canadian pharmaceutical policy decision-makers. Results of the descriptive, qualitative analysis were compared with the General Model of Information Seeking of Professionals (GMISP) proposed by Leckie, Pettigrew and Sylvain in 1996.
Characteristics of information needs included topic, depth/breadth of questions and time sensitivity. Approaches to information seeking were variously scattershot, systematic and delegated, depending on the characteristics as well as respondent resources. Major source types were human experts, electronic sources and trusted organisations. Affective (emotion-related) outcomes were common, including frustration and desire for better information systems and sources.
The GMISP model may be adapted to model information behaviour of Canadian pharmaceutical policy makers. In the absence of a dedicated, independent source for rapid-response policy research, these policy makers will likely continue to satisfice (make do) with available resources, and barriers to evidence-informed policy will persist.
了解知识转化工作针对的政策制定者的信息行为对于提高政策研究的影响力至关重要。本研究探讨了加拿大制药政策决策者报告的信息行为,加拿大是一个与循证实践高度相关的国家,但在将证据转化为卫生政策方面仍面临着重大障碍。
我们对 15 名加拿大制药政策决策者进行了半结构式电话访谈。描述性的定性分析结果与 Leckie、Pettigrew 和 Sylvain 于 1996 年提出的专业人员通用信息搜索模型(GMISP)进行了比较。
信息需求的特征包括主题、问题的深度/广度和时间敏感性。信息搜索的方法因信息特征和受访者资源的不同而有所不同,包括随意、系统和委托的方法。主要的来源类型有人力专家、电子资源和可信的组织。情感(与情绪相关)的结果很常见,包括对更好的信息系统和来源的沮丧和渴望。
GMISP 模型可以被改编来模拟加拿大制药政策制定者的信息行为。在缺乏专门的、独立的快速反应政策研究来源的情况下,这些政策制定者可能会继续满足于现有资源,而循证政策的障碍将持续存在。