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The impact of hospital-acquired infections on the patient-level reimbursement-cost relationship in a DRG-based hospital payment system.
Kaier, Klaus; Wolkewitz, Martin; Hehn, Philip; Mutters, Nico T; Heister, Thomas.
  • Kaier K; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany. Kaier@imbi.uni-freiburg.de.
  • Wolkewitz M; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany.
  • Hehn P; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany.
  • Mutters NT; Institute for Infection Prevention and Hospital Epidemiology, Faculty of Medicine, Medical Center - University of Freiburg, Breisacher Straße 115 b, 79106, Freiburg, Germany.
  • Heister T; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany.
Int J Health Econ Manag ; 20(1): 1-11, 2020 Mar.
Article en En | MEDLINE | ID: mdl-31165960
Hospital-acquired infections (HAIs) are a common complication in inpatient care. We investigate the incentives to prevent HAIs under the German DRG-based reimbursement system. We analyze the relationship between resource use and reimbursements for HAI in 188,731 patient records from the University Medical Center Freiburg (2011-2014), comparing cases to appropriate non-HAI controls. Resource use is approximated using national standardized costing system data. Reimbursements are the actual payments to hospitals under the G-DRG system. Timing of HAI exposure, cost-clustering within main diagnoses and risk-adjustment are considered. The reimbursement-cost difference of HAI patients is negative (approximately - €4000). While controls on average also have a negative reimbursement-cost difference (approximately - €2000), HAI significantly increase this difference after controlling for confounding and timing of infection (- 1500, p < 0.01). HAIs caused by vancomycin-resistant Enterococci have the most unfavorable reimbursement-cost difference (- €10,800), significantly higher (- €9100, p < 0.05) than controls. Among infection types, pneumonia is associated with highest losses (- €8400 and - €5700 compared with controls, p < 0.05), while cost-reimbursement relationship for Clostridium difficile-associated diarrhea is comparatively balanced (- €3200 and - €500 compared to controls, p = 0.198). From the hospital administration's perspective, it is not the additional costs of HAIs, but rather the cost-reimbursement relationship which guides decisions. Costs exceeding reimbursements for HAI may increase infection prevention and control efforts and can be used to show their cost-effectiveness from the hospital perspective.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Mecanismo de Reembolso / Infección Hospitalaria / Grupos Diagnósticos Relacionados / Costos de Hospital Tipo de estudio: Etiology_studies / Health_economic_evaluation / Prognostic_studies Límite: Aged / Humans / Middle aged País como asunto: Europa Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Mecanismo de Reembolso / Infección Hospitalaria / Grupos Diagnósticos Relacionados / Costos de Hospital Tipo de estudio: Etiology_studies / Health_economic_evaluation / Prognostic_studies Límite: Aged / Humans / Middle aged País como asunto: Europa Idioma: En Año: 2020 Tipo del documento: Article