RAND Corporation, Pittsburgh, Pennsylvania, United States.
Department of Acute & Tertiary Care, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, United States.
Policy Polit Nurs Pract. 2021 Feb;22(1):6-16. doi: 10.1177/1527154420976081. Epub 2020 Nov 22.
Nurse practitioners (NPs) represent the fastest growing segment of the U.S. primary care workforce. Surveys of primary care NPs can help to better understand the care NPs deliver across different health care settings, the factors that impact NP job satisfaction and burnout, and the structural capabilities required to support their practice. The purpose of this article is to provide an overview of national sampling frames that can be used by researchers interested in surveying or studying the U.S. primary care NP workforce. We conducted an environmental scan and review of published literature on the NP workforce to identify data sources that can be used to sample primary care NPs. In this article, we (a) identify the data elements needed to develop an NP sampling frame and (b) describe national data sets that can be used to sample primary care NPs, including the strengths and weaknesses of each. This information is intended to facilitate research on the primary care NP workforce to inform practice and policy.
护士从业者(NPs)是美国初级保健劳动力中增长最快的部分。对初级保健护士从业者的调查可以帮助更好地了解护士从业者在不同医疗保健环境中提供的护理、影响护士从业者工作满意度和倦怠的因素,以及支持他们实践所需的结构能力。本文的目的是提供对有兴趣调查或研究美国初级保健护士从业者的研究人员有用的国家抽样框架概述。我们进行了环境扫描并审查了有关护士从业者劳动力的已发表文献,以确定可用于抽样初级保健护士从业者的数据源。在本文中,我们 (a) 确定了开发 NP 抽样框架所需的数据元素,以及 (b) 描述了可用于抽样初级保健护士从业者的国家数据集,包括每个数据集的优缺点。这些信息旨在促进对初级保健护士从业者劳动力的研究,以为实践和政策提供信息。