Literature DB >> 20367820

Risk-adjusted increases in medical resource utilization associated with health care-associated infections in gastrectomy patients.

Jason Lee1, Yuichi Imanaka, Miho Sekimoto, Tatsuro Ishizaki, Kenshi Hayashida, Hiroshi Ikai, Otsubo Tetsuya.   

Abstract

RATIONALE, AIMS AND
OBJECTIVES: Quantifying the impact of health care-associated infections (HAIs) on medical resource utilization is necessary for payers and providers to appropriately allocate limited resources for interventions. However, previous studies tend to involve single institutions and do not take into account patient and practice variations between several hospitals. The objective of this study was to conduct a multi-institutional risk-adjusted comparison of HAI-associated impact on medical resources in gastrectomy patients in Japan.
METHODS: Health care-associated infections were identified using a combination of International Classification of Diseases-10 codes and antibiotic utilization patterns in 1058 gastrectomy patients from 10 Japanese hospitals. Multiple linear regression models and risk adjustment were used to analyse the impact of HAIs on: (1) total hospital costs; (2) antibiotic costs; and (3) post-surgical length of stay (LOS).
RESULTS: Overall HAI incidence for the database was 20.3%, with a range of 8.8-29.6% among the 10 hospitals. Regression models showed that HAIs were significantly associated with increases in all three indicators. Risk-adjusted comparisons revealed that HAIs were associated with an increase of US$2767 (range: US$1035-6513) in overall hospital cost, US$202 (US$98.8-764.6) antibiotic costs and 10.6 (4.7-24 days) post-surgical LOS days.
CONCLUSIONS: Even after adjusting for patient characteristics and other variables, there was still a high degree of variation observed in the impact of HAIs on total hospital costs and antibiotic costs from a third-party payer's perspective and post-surgical LOS among the 10 hospitals. This information can increase the efficiency of allocation of resources for interventions to reduce HAIs.

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Year:  2010        PMID: 20367820     DOI: 10.1111/j.1365-2753.2009.01121.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  2 in total

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Journal:  Drug Healthc Patient Saf       Date:  2012-10-05

2.  Is it possible to identify cases of coronary artery bypass graft postoperative surgical site infection accurately from claims data?

Authors:  Tsung-Hsien Yu; Yu-Chang Hou; Kuan-Chia Lin; Kuo-Piao Chung
Journal:  BMC Med Inform Decis Mak       Date:  2014-05-29       Impact factor: 2.796

  2 in total

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