Literature DB >> 15085320

Automatic calculation of the nine equivalents of nursing manpower use score (NEMS) using a patient data management system.

Axel Junger1, Florian Brenck, Bernd Hartmann, Joachim Klasen, Lorenzo Quinzio, Matthias Benson, Achim Michel, Rainer Röhrig, Gunter Hempelmann.   

Abstract

OBJECTIVE: 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.
DESIGN: Prospective study.
SETTING: Operative intensive care unit of a university hospital. PATIENTS: 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.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: 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 kappa-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 kappa-statistic showed good results (kappa>0.55) for all NEMS items apart from the item "supplementary ventilatory care".
CONCLUSION: 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.

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Year:  2004        PMID: 15085320     DOI: 10.1007/s00134-004-2239-z

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  11 in total

1.  Intra-observer variability in APACHE II scoring.

Authors:  K H Polderman; H M Christiaans; J P Wester; J J Spijkstra; A R Girbes
Journal:  Intensive Care Med       Date:  2001-09       Impact factor: 17.440

2.  A qualitative comparison of paper flowsheets vs a computer-based clinical information system.

Authors:  J Hammond; H M Johnson; R Varas; C G Ward
Journal:  Chest       Date:  1991-01       Impact factor: 9.410

3.  Nine equivalents of nursing manpower use score (NEMS).

Authors:  D Reis Miranda; R Moreno; G Iapichino
Journal:  Intensive Care Med       Date:  1997-07       Impact factor: 17.440

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

5.  Measuring resource use in the ICU with computerized therapeutic intervention scoring system-based data.

Authors:  G Clermont; D C Angus; W T Linde-Zwirble; J R Lave; M R Pinsky
Journal:  Chest       Date:  1998-02       Impact factor: 9.410

6.  Evaluation of an interdisciplinary data set for national intensive care unit assessment.

Authors:  P G Metnitz; H Vesely; A Valentin; C Popow; M Hiesmayr; K Lenz; C G Krenn; H Steltzer
Journal:  Crit Care Med       Date:  1999-08       Impact factor: 7.598

7.  Patient data management systems in intensive care--the situation in Europe.

Authors:  P G Metnitz; K Lenz
Journal:  Intensive Care Med       Date:  1995-09       Impact factor: 17.440

8.  Simplified Therapeutic Intervention Scoring System: the TISS-28 items--results from a multicenter study.

Authors:  D R Miranda; A de Rijk; W Schaufeli
Journal:  Crit Care Med       Date:  1996-01       Impact factor: 7.598

9.  Automatic calculation of a modified APACHE II score using a patient data management system (PDMS).

Authors:  Axel Junger; Sebastian Böttger; Jörg Engel; Matthias Benson; Achim Michel; Rainer Röhrig; Andreas Jost; Gunter Hempelmann
Journal:  Int J Med Inform       Date:  2002-06       Impact factor: 4.046

10.  Therapeutic intervention scoring system (TISS)--a method for measuring workload and calculating costs in the ICU.

Authors:  J Mälstam; L Lind
Journal:  Acta Anaesthesiol Scand       Date:  1992-11       Impact factor: 2.105

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  1 in total

1.  Modeling the distribution of Nursing Effort using structured Labor and Delivery documentation.

Authors:  Eric S Hall; Mollie R Poynton; Scott P Narus; Sidney N Thornton
Journal:  J Biomed Inform       Date:  2008-04-20       Impact factor: 6.317

  1 in total

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