title: [Variability in nursing workload within Swiss Diagnosis Related Groups].
abstract: Nursing care inputs represent one of the major cost components in the Swiss Diagnosis Related Group (DRG) structure. High and low nursing workloads in individual cases are supposed to balance out via the DRG group. Research results indicating possible problems in this area cannot be reliably extrapolated to SwissDRG. An analysis of nursing workload figures with DRG indicators was carried out in order to decide whether there is a need to develop SwissDRG classification criteria that are specific to nursing care. The case groups were determined with SwissDRG 0.1, and nursing workload with LEP Nursing 2. Robust statistical methods were used. The evaluation of classification accuracy was carried out with R2 as the measurement of variance reduction and the coefficient of homogeneity (CH). To ensure reliable conclusions, statistical tests with bootstrapping methods were performed. The sample included 213 groups with a total of 73930 cases from ten hospitals. The DRG classification was seen to have limited explanatory power for variability in nursing workload inputs, both for all cases (R2 = 0.16) and for inliers (R2 = 0.32). Nursing workload homogeneity was statistically significant unsatisfactory (CH < 0.67) in 123 groups, including 24 groups in which it was significant defective (CH < 0.60). Therefore, there is a high risk of high and low nursing workloads not balancing out in these groups, and, as a result, of financial resources being wrongly allocated. The development of nursing-care-specific SwissDRG classification criteria for improved homogeneity and variance reduction is therefore indicated.
authors.affiliation: Department für Pflegewissenschaft, Universität Witten/Herdecke.
authors.forename: Dieter
authors.initials: D
authors.lastname: Baumberger
authors.affiliation: Institut d'Études Démographiques et du Parcours de Vie, Université de Genève.
authors.forename: Reto
authors.initials: R
authors.lastname: Bürgin
authors.affiliation: Department für Pflegewissenschaft, Universität Witten/Herdecke.
authors.forename: Sabine
authors.initials: S
authors.lastname: Bartholomeyczik
mesh_terms: D001291:Attitude of Health Personnel; D003953:Diagnosis-Related Groups / Q000145:classification / Q000706:statistics & numerical data*; D006801:Humans; D009313:National Health Programs; D009741:Nursing Staff, Hospital / Q000706:statistics & numerical data*; D013557:Switzerland; D016526:Workload / Q000706:statistics & numerical data*
keywords: Diagnosis-Related Groups; Klassifikation; Pflegeaufwand; Varianzanalyse; analysis of variance; classification; diagnosebezogene Fallgruppen; economic homogeneity; nursing workload; ökonomische Homogenität