Statistical analysis of the nursing minimum data set for The Netherlands.

Acquest Consultancy BV, Dorpsstraat 50, 2396, Kouerkerk Ann Den Rijn, The Netherlands.
International Journal of Medical Informatics (Impact Factor: 2). 01/2003; 68(1-3):205-18. DOI: 10.1016/S1386-5056(02)00077-1
Source: PubMed


The purpose of this overview is to examine and illustrate the feasible options for the statistical analysis of nursing minimum data sets (NMDSs). After explaining the need for these data collections, examples from different countries are discussed and examples of the methods used for statistical analysis are summarized. Distinct purposes for information uses and for the presentation of information requires different approaches for data collection and statistical analysis. The feasible options for the nursing minimum data set for the Netherlands (NMDSN) have been described to illustrate the different methods available. Six studies are discussed, illustrating their goals, data collection methods, data analysis, and results. These studies include visualizing nursing care by means of frequencies of nursing diagnoses and interventions, RIDIT (relative to an identified distribution) analysis, fingerprints, and graphs from multidimensional scaling techniques. In addition, using data sets for workload measurement and testing of instruments is presented. The overview ends with general recommendations for data collection and analysis of NMDSs.

13 Reads
  • Source

    Full-text · Article ·
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The International Standards Organization's (ISO) International Standard IS 18104 should assist the nursing profession to integrate their terminologies into computer systems and healthcare reference terminologies. The purpose of this study is to cross-map between different terminologies; that is, to determine if concepts in one terminology are similar to concepts in another terminology. The ISO standard was used to test the degree to which three terminologies could be cross-mapped to each other. Concepts and terms were selected, their equivalence determined by experts, and the specific concepts were dissected or broken down to their constituent parts. Based on experts' selections from the three classifications, equivalent concepts were identified. Those concepts deemed equivalent were dissected, thus revealing whether the components of the nursing diagnostic concepts such as focus, judgment, and other attributes of the ISO standard matched. Based on the dissection of each diagnosis, the decision was made whether mapping was possible or not. The dissection revealed that several nursing diagnostic concepts can easily be interchanged, while others cannot or can be mapped only for specific purposes (e.g., clinical or aggregate use). This implies that for some concepts it does not matter which terminology is used, and in other cases it does because of different meanings.
    Full-text · Article · Feb 2006 · International Journal of Nursing Terminologies and Classifications
  • [Show abstract] [Hide abstract]
    ABSTRACT: It is commonly acknowledged that nursing care is underrepresented in the healthcare record. The nursing minimum data set (NMDS) has been proposed as a method of routinely collecting information on core aspects of the nursing contribution to care, organised primarily in terms of phenomena, interventions and outcomes. Potential applications in clinical nursing, healthcare management, education and research have been identified. NMDS systems have been developed in a number of countries, with applications mostly related to resource allocation. To date, NMDS systems have tended to examine physical nursing care provided in institutional settings, with implications for construct and content validity. While NMDS research helps to clarify the nursing contribution to care, attention is now required to better understand the domains of nursing care across a broader range of care settings.
    No preview · Article · Apr 2006 · Nursing Inquiry
Show more