Development of the Doctor of Nursing Practice Nurse Practitioner Minimum Data Set (DNP NP MDS)

BACKGROUND: 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. PURPOSE: The purpose of this study was to develop a universal minimum data set (MDS) for the DNP-prepared NP population. METHOD: 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. FINDINGS: 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. DISCUSSION: 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