The George Washington University School of Nursing, 1919 Pennsylvania Avenue NW, Suite 500, Washington, DC 20006, USA.
Michigan State University College of Nursing, 1355 Bogue St., Room #C284, East Lansing, MI 48824, USA.
J Prof Nurs. 2022 Mar-Apr;39:54-68. doi: 10.1016/j.profnurs.2021.12.012. Epub 2022 Jan 6.
While the number of Doctor of Nursing Practice (DNP) programs has grown steadily, there is limited data on how national organizations are collecting data on DNP-prepared nurse practitioners (NPs) and no standard instrument exists to collect data on DNP-prepared NPs.
The purpose of this study was to develop a universal minimum data set (MDS) for the DNP-prepared NP population.
Instrument development consisted of several sequential stages, including conceptualization and item generation, preliminary evaluation of items, field testing the survey, and analysis of scale development data.
A set of 16 core variables and 19 additional variables were developed to collect standardized data on the demographics, education, and practice patterns of DNP-prepared NPs. Pilot testing revealed high correlations between the activities DNP-prepared NPs are prepared for and typically participate in a typical workweek and in their career. The MDS demonstrated high reliability in our sample.
The DNP NP MDS can be used for data collection by various stakeholders, including national organizations, to facilitate improved tracking of outcome data for the DNP-prepared NP workforce. It can also provide data-driven support for the need and significance of the DNP degree for NPs.
尽管护理实践博士（DNP）项目的数量稳步增长，但关于国家组织如何收集 DNP 培训护士从业者（NPs）数据的信息有限，并且没有用于收集 DNP 培训的 NPs 数据的标准工具。
本研究旨在为 DNP 培训的 NP 人群开发通用的最小数据集（MDS）。
仪器开发包括几个连续的阶段，包括概念化和项目生成、项目初步评估、调查现场测试以及分析量表开发数据。
开发了一组 16 个核心变量和 19 个附加变量，以收集关于 DNP 培训的 NPs 的人口统计学、教育和实践模式的标准化数据。初步测试表明，DNP 培训的 NPs 为典型工作周和职业生涯准备的活动与他们实际参与的活动之间存在高度相关性。MDS 在我们的样本中表现出很高的可靠性。
DNP NP MDS 可由各种利益相关者用于数据收集，包括国家组织，以促进对 DNP 培训的 NP 劳动力的结果数据的更好跟踪。它还可以为 NPs 对 DNP 学位的需求和重要性提供数据支持。
