Development of the Austrian Nursing Minimum Data Set (NMDS-AT): The Third Delphi Round, a Quantitative Online Survey
Renate Ranegger, Werner O. Hackl, Elske Ammenwerth
Background: A Nursing Minimum Data Set (NMDS) aims at systematically describing nursing care in terms of patient problems, nursing activities, and patient outcomes. In an earlier Delphi study, 56 data elements were proposed to be included in an Austrian Nursing Minimum Data Set (NMDS-AT).
Objectives: To identify the most important data elements of this list, and to identify appropriate coding systems.
Methods: Online Delphi-based survey with 88 experts.
Results: 43 data elements were rated as relevant for an NMDS-AT (strong agreement of more than half of the experts): nine data elements concerning the institution, patient demographics, and medical condition; 18 data elements concerning patient problems by using nursing diagnosis; seven data elements concerning nursing outcomes, and nine data elements concerning nursing interventions. As classification systems, national classification systems were proposed besides ICNP, NNN, and nursing-sensitive indicators.
Conclusion: The resulting proposal for an NMDS-AT will now be tested with routine data.