1. Automatic calculation of the nine equivalents of nursing manpower use score (NEMS) using a patient data management system
- Author
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Bernd Hartmann, Gunter Hempelmann, Matthias Benson, Axel Junger, Michel A, L. Quinzio, Rainer Röhrig, F. Brenck, and Joachim Klasen
- Subjects
Adolescent ,Intraclass correlation ,MEDLINE ,Nursing Staff, Hospital ,Critical Care and Intensive Care Medicine ,law.invention ,Hospitals, University ,Nursing ,law ,Risk Factors ,Intensive care ,Medicine ,Humans ,heterocyclic compounds ,Prospective Studies ,Bland–Altman plot ,Prospective cohort study ,Child ,Quality of Health Care ,Framingham Risk Score ,business.industry ,Intensive care unit ,Confidence interval ,Intensive Care Units ,Child, Preschool ,Hospital Information Systems ,Workforce ,Regression Analysis ,business ,Delivery of Health Care - Abstract
The most recent approach to estimate nursing resources consumption has led to the generation of the Nine Equivalents of Nursing Manpower use Score (NEMS). The objective of this prospective study was to establish a completely automatically generated calculation of the NEMS using a patient data management system (PDMS) database and to validate this approach by comparing the results with those of the conventional manual method. Prospective study. Operative intensive care unit of a university hospital. Patients admitted to the ICU between 24 July 2002 and 22 August 2002. Patients under the age of 16 years, and patients undergoing cardiovascular surgery or with burn injuries were excluded. None. The NEMS of all patients was calculated automatically with a PDMS and manually by a physician in parallel. The results of the two methods were compared using the Bland and Altman approach, the interclass correlation coefficient (ICC), and the κ-statistic. On 20 consecutive working days, the NEMS was calculated in 204 cases. The Bland Altman analysis did not show significant differences in NEMS scoring between the two methods. The ICC (95% confidence intervals) 0.87 (0.84–0.90) revealed a high inter-rater agreement between the PDMS and the physician. The κ-statistic showed good results (κ>0.55) for all NEMS items apart from the item “supplementary ventilatory care”. This study demonstrates that automatical calculation of the NEMS is possible with high accuracy by means of a PDMS. This may lead to a decrease in consumption of nursing resources.
- Published
- 2003