Using observation to better understand the healthcare context.

Lauren E Weston, Sarah L Krein, Molly Harrod
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引用次数: 5

Abstract

Despite potential to capture rich contextual information, observation remains an underutilized data collection method. This paper provides a practical guide for using observation to understand complex issues in healthcare settings. Observation is a qualitative data collection method comprised of viewing and documenting phenomena in the usual environment. Drawing on our recent work using observation to better understand personal protective equipment use among healthcare personnel, we describe when to consider collecting data via observation, how to prepare and perform observation, and how to analyze resulting data. Observation data are documented in field notes that contain detailed information about setting, participants, and activity associated with the topic of interest. Field notes can be analyzed alone or triangulated with other types of data using theoretical or conceptual frameworks or by identifying themes. Observation is a valuable data collection method for health services researchers to identify key components involved in a topic of interest, a vital step in forming relevant questions, measuring appropriate variables, and designing effective interventions. Used with other methods or alone, observation yields the detailed data needed to address context-specific factors across a wide range of healthcare research topics and settings.

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通过观察来更好地理解医疗环境。
尽管有可能捕获丰富的上下文信息,观察仍然是一种未充分利用的数据收集方法。本文提供了一个实用的指南,使用观察,以了解复杂的问题在医疗保健设置。观察是一种定性的数据收集方法,包括在通常环境中观察和记录现象。根据我们最近使用观察来更好地了解医护人员使用个人防护设备的工作,我们描述了何时考虑通过观察收集数据,如何准备和执行观察,以及如何分析结果数据。观察数据记录在现场笔记中,其中包含与感兴趣的主题相关的设置、参与者和活动的详细信息。实地记录可以单独分析,也可以使用理论或概念框架或通过确定主题与其他类型的数据进行三角测量。观察是一种宝贵的数据收集方法,可帮助卫生服务研究人员确定感兴趣的主题所涉及的关键组成部分,是形成相关问题、测量适当变量和设计有效干预措施的重要步骤。与其他方法一起使用或单独使用时,观察可以产生解决各种医疗保健研究主题和设置中的特定环境因素所需的详细数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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