Wtf. Goossen et al., Development of the Nursing Minimum Data Set for the Netherlands (NMDSN): identification of categories and items, J ADV NURS, 31(3), 2000, pp. 536-547
Rationale Currently, there is no systematic collection of nursing care data
in the Netherlands, while pressure is growing from the profession, policy-
makers and society to justify the contribution of nursing and its costs. A
nursing minimum data set can provide data to demonstrate nursing's contribu
tion to health care as it can be used to describe the diversity of differen
t patient populations and the variability of nursing activities, and to cal
culate the associated nursing workload. Objective To identify categories an
d items for inclusion in the Nursing Minimum Data Set for the Netherlands.
Design A multimethod, exploratory approach was used. This included intervie
ws, document analysis, consensus rounds, seeking validation in the literatu
re, and drawing up lists of most frequently occurring patient problems, int
erventions and outcomes of care. Eight hospitals, with a total of 16 wards,
participated in the study. Results Relevant categories and items emerged a
fter analysis and grouping of the material and included: five hospital-rela
ted items, six patient demographics items, seven medical condition items, 1
0 nursing process items, 24 patient problems, 32 nursing interventions, fou
r outcomes of nursing care, and three complexity of care items. Almost ever
y item could be located in the existing documentation systems, the lists of
patient problems, outcomes and interventions, or in the literature. Conclu
sion A set of categories and items of nursing data has been identified. The
content validity of this set is partly supported by its consistency with t
he literature, findings from practice and the judgement of potential users.
Nursing outcomes need further development. The data set will be tested in
practice to find out whether the categories and items are useful; and wheth
er they can be minimized.