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Automatic calculation of the nine equivalents of nursing manpower use score (NEMS) using a patient data management system
- Source :
- Intensive care medicine. 30(7)
- Publication Year :
- 2003
-
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.
- 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
Subjects
Details
- ISSN :
- 03424642
- Volume :
- 30
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Intensive care medicine
- Accession number :
- edsair.doi.dedup.....9ff88f882be018e9a2cccbd44ecf5f3a