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[Risk-adjusted assessment of neonatology wards by the new quality indicator "transfer rate of mature newborns"].
- Source :
-
Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen [Z Evid Fortbild Qual Gesundhwes] 2011; Vol. 105 (2), pp. 133-8. Date of Electronic Publication: 2011 Feb 01. - Publication Year :
- 2011
-
Abstract
- Objective: 1. The transfer rate of mature newborns will be presented as a new quality indicator. 2. Another objective of this study was to adjust the transfer rate of mature newborns of different hospitals according to their "risk" profile of patients by multivariate analysis.<br />Method: The perinatal database of 118,416 newborns of the Saxonian quality surveillance from 2001 to 2004 was analysed. Based on 17 clinical and 3 structural factors, a logistic regression model was used to develop a specific "risk" predictor for the quality indicator "transfer rate".<br />Results: For care level III (basic care) a "risk" predictor for the transfer rate was developed, which consists of 15 factors. The AUC(ROC)-value of this quality indicator was 78.6%, which is sufficient. The hospital ranking based on the adjusted risk assessment was different from the hospital ranking prior to this adjustment. The average correction of ranking position was 10.4 for 43 clinics.<br />Conclusion: 1. The new quality indicator "transfer rate of mature newborns" can be recommended. 2. The application of the risk adjustment method proposed here allows for a more objective comparison of the quality indicator "transfer rate" among different hospitals.<br /> (Copyright © 2011. Published by Elsevier GmbH.)
- Subjects :
- Female
Germany
Hospitals, Pediatric standards
Hospitals, Pediatric statistics & numerical data
Humans
Incidence
Infant, Newborn
Logistic Models
Male
Multivariate Analysis
Hospital Departments standards
Hospital Departments statistics & numerical data
Neonatology standards
Neonatology statistics & numerical data
Patient Transfer standards
Patient Transfer statistics & numerical data
Quality Indicators, Health Care standards
Quality Indicators, Health Care statistics & numerical data
Risk Adjustment statistics & numerical data
Subjects
Details
- Language :
- German
- ISSN :
- 1865-9217
- Volume :
- 105
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen
- Publication Type :
- Academic Journal
- Accession number :
- 21496782
- Full Text :
- https://doi.org/10.1016/j.zefq.2011.01.002