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Published on: February 16, 2011
[Association of Structural Variables with Quality of Care in German Hospitals]
Lisa Vorbeck1, Dijana Naumoska1, Max Geraedts1
1Institut für Versorgungsforschung und Klinische Epidemiologie, Philipps-Universität Marburg, Fachbereich Medizin, Marburg, Deutschland.
Background:
The Hospital sector in Germany is undergoing uncoordinated structural changes for financial reasons. At the same time, quality-oriented control measures are used to ensure and improve the quality of treatment. It is unclear whether the right structures, namely those that guarantee positive results, will be maintained.
Objective:
Investigation of the association between different structural hospital characteristics with quality of care.
Methods:
In a secondary data analysis, the association of quality of care and the structural characteristics of hospital size, type of ownership, region, teaching status and case mix index (CMI) were compared based on hospital quality reports. Quality indices were calculated for each hospital using selected quality indicators of external quality assurance (eQA). First, the associations were examined univariately using the Mann-Whitney U test or Kruskal-Wallis test and then using multiple linear regression analysis, taking into account the interaction effects of the independent variables.
Findings:
About 90% of the indices examined showed significant associations between structural hospital characteristics and the quality of care. Positive associations with the quality of care were found in the structural characteristics of hospital size of less than 100 beds, private ownership, no teaching hospital and a low CMI. Negative associations were observed in the structural variables hospital size more than 500 beds, public ownership, teaching-status and higher CMI.
Conclusion:
According to the results of this study, small hospitals seem to provide the best quality of care. This counterintuitive result suggests that the examined eQA quality indicators used in the index calculation may not be sufficiently risk-adjusted or scientifically evaluated, and their use as quality management tools is not recommended.
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