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执业护士劳动力数据的范围综述:2015年研究议程圆桌会议确定的关键主题四部分系列的第二部分。

A scoping review of nurse practitioner workforce data: Part two of a four-part series on critical topics identified by the 2015 Research Agenda Roundtable.

作者信息

Barnes Hilary, Novosel Lorraine M

机构信息

University of Delaware, School of Nursing, Newark, Delaware.

Department of Health Promotion & Development, University of Pittsburgh, School of Nursing, Pittsburgh, Pennsylvania.

出版信息

J Am Assoc Nurse Pract. 2018 Dec;30(12):685-695. doi: 10.1097/JXX.0000000000000069.

Abstract

BACKGROUND AND PURPOSE

There is no single comprehensive data source for conducting nurse practitioner (NP)-focused workforce and outcomes research. The 2015 Research Agenda Roundtable of the Fellows of the American Association of Nurse Practitioners supports the development of a national NP data source. A scoping review was conducted to provide an overview of data being used in NP-focused research and to identify key issues relevant to making progress toward a national NP database.

METHODS

PubMed, CINAHL, and EMBASE were searched for English-language articles published within the past 10 years (2007-2017). Twenty-one articles were included for review and categorized into three themes: 1) NP Workforce Data Collection and Availability; 2) Using Data to Identify NPs; and 3) Minimum Data Sets and Key Variables.

CONCLUSIONS

General consensus among workforce experts suggests that rich sources of NP data exist. However, challenges include a lack of a national data source for studying the NP workforce and outcomes; the inability to identify individual NP providers within existing data; and variations in how different sources of data are collected.

IMPLICATIONS FOR PRACTICE

Improved NP workforce data collection is vital for workforce planning and forecasting and has implications for outcomes research and NP workforce distribution and employment.

摘要

背景与目的

目前尚无单一的综合数据源可用于开展以执业护士(NP)为重点的劳动力及结果研究。美国执业护士协会会员2015年研究议程圆桌会议支持开发一个全国性的NP数据源。开展了一项范围综述,以概述NP重点研究中使用的数据,并确定与建立全国性NP数据库取得进展相关的关键问题。

方法

检索PubMed、CINAHL和EMBASE中过去10年(2007 - 2017年)发表的英文文章。纳入21篇文章进行综述,并分为三个主题:1)NP劳动力数据收集与可得性;2)利用数据识别NP;3)最小数据集与关键变量。

结论

劳动力专家的普遍共识表明,存在丰富的NP数据来源。然而,挑战包括缺乏用于研究NP劳动力及结果的全国性数据源;无法在现有数据中识别个体NP提供者;以及不同数据来源的收集方式存在差异。

对实践的启示

改进NP劳动力数据收集对于劳动力规划和预测至关重要,并对结果研究以及NP劳动力分布和就业具有影响。

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