Literature DB >> 31165960

The impact of hospital-acquired infections on the patient-level reimbursement-cost relationship in a DRG-based hospital payment system.

Klaus Kaier1, Martin Wolkewitz2, Philip Hehn2, Nico T Mutters3, Thomas Heister2.   

Abstract

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.

Entities:  

Keywords:  Cost; G-DRG; HAI; Incentives; Reimbursement

Year:  2019        PMID: 31165960     DOI: 10.1007/s10754-019-09267-w

Source DB:  PubMed          Journal:  Int J Health Econ Manag        ISSN: 2199-9031


  29 in total

1.  Two time-series analyses of the impact of antibiotic consumption and alcohol-based hand disinfection on the incidences of nosocomial methicillin-resistant Staphylococcus aureus infection and Clostridium difficile infection.

Authors:  Klaus Kaier; Christian Hagist; Uwe Frank; Andreas Conrad; Elisabeth Meyer
Journal:  Infect Control Hosp Epidemiol       Date:  2009-04       Impact factor: 3.254

2.  The cost of resistance: incremental cost of methicillin-resistant Staphylococcus aureus (MRSA) in German hospitals.

Authors:  Ansgar Resch; Michael Wilke; Christian Fink
Journal:  Eur J Health Econ       Date:  2008-11-18

Review 3.  Health care-associated infections: a meta-analysis of costs and financial impact on the US health care system.

Authors:  Eyal Zimlichman; Daniel Henderson; Orly Tamir; Calvin Franz; Peter Song; Cyrus K Yamin; Carol Keohane; Charles R Denham; David W Bates
Journal:  JAMA Intern Med       Date:  2013 Dec 9-23       Impact factor: 21.873

4.  Efficient risk set sampling when a time-dependent exposure is present: matching for time to exposure versus exposure density sampling.

Authors:  Martin Wolkewitz; J Beyersmann; P Gastmeier; M Schumacher
Journal:  Methods Inf Med       Date:  2009-08-05       Impact factor: 2.176

5.  Estimating the burden of nosocomial infections: Time dependency and cost clustering should be taken into account.

Authors:  Thomas Heister; Klaus Kaier; Martin Wolkewitz
Journal:  Am J Infect Control       Date:  2016-11-09       Impact factor: 2.918

6.  Effect of nonpayment for preventable infections in U.S. hospitals.

Authors:  Grace M Lee; Ken Kleinman; Stephen B Soumerai; Alison Tse; David Cole; Scott K Fridkin; Teresa Horan; Richard Platt; Charlene Gay; William Kassler; Donald A Goldmann; John Jernigan; Ashish K Jha
Journal:  N Engl J Med       Date:  2012-10-11       Impact factor: 91.245

Review 7.  Clinical and economic burden of antimicrobial resistance.

Authors:  Lisa L Maragakis; Eli N Perencevich; Sara E Cosgrove
Journal:  Expert Rev Anti Infect Ther       Date:  2008-10       Impact factor: 5.091

8.  Transfemoral aortic valve implantation: bleeding events, related costs and outcomes.

Authors:  Jochen Reinöhl; Anja Gutmann; Marc Kollum; Constantin von Zur Mühlen; Hardy Baumbach; Melanie Avlar; Martin Moser; Christoph Bode; Manfred Zehender
Journal:  J Thromb Thrombolysis       Date:  2013-05       Impact factor: 2.300

9.  Multistate point-prevalence survey of health care-associated infections.

Authors:  Shelley S Magill; Jonathan R Edwards; Wendy Bamberg; Zintars G Beldavs; Ghinwa Dumyati; Marion A Kainer; Ruth Lynfield; Meghan Maloney; Laura McAllister-Hollod; Joelle Nadle; Susan M Ray; Deborah L Thompson; Lucy E Wilson; Scott K Fridkin
Journal:  N Engl J Med       Date:  2014-03-27       Impact factor: 91.245

10.  Assessing DRG cost accounting with respect to resource allocation and tariff calculation: the case of Germany.

Authors:  Matthias Vogl
Journal:  Health Econ Rev       Date:  2012-08-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.