Financial impact of healthcare-associated infections on intensive care units estimated for fifty Brazilian university hospitals affiliated to the unified health system

被引:6
作者
Osme, S. F. [1 ]
Souza, J. M. [2 ]
Osme, I. T. [3 ]
Almeida, A. P. S. [1 ]
Arantes, A. [1 ]
Mendes-Rodrigues, C. [4 ]
Gontijo Filho, P. P. [5 ]
Ribas, R. M. [5 ]
机构
[1] Univ Fed Uberlandia, Clin Hosp, Uberlandia, MG, Brazil
[2] Univ Fed Uberlandia, Inst Geog, Uberlandia, MG, Brazil
[3] York Univ, Gledon Campus, Toronto, ON, Canada
[4] Univ Fed Uberlandia, Inst Med, Uberlandia, MG, Brazil
[5] Univ Fed Uberlandia, Inst Biomed Sci, Uberlandia, MG, Brazil
关键词
Healthcare-associated infection; Costs and costs analysis; Intensive care units; Length of stay; Unified health system; Monte Carlo method; BLOOD-STREAM INFECTION; LENGTH-OF-STAY; ATTRIBUTABLE COST; NOSOCOMIAL INFECTIONS; PREVALENCE; ARGENTINA; MORTALITY; RESISTANT; OUTCOMES;
D O I
10.1016/j.jhin.2021.08.012
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Studies show that healthcare-associated infections (HAIs) represent a crucial issue in healthcare and can lead to substantial economic impacts in intensive care units (ICUs). Aim: To estimate direct costs associated with the most significant HAIs in 50 teaching hospitals in Brazil, affiliated to the unified health system (Sistema U acute accent nico de Saude: SUS). Methods: A Monte Carlo simulation model was designed to estimate the direct costs of HAIs; first, epidemiologic and economic parameters were established for each HAI based on a cohort of 949 critical patients (800 without HAI and 149 with); second, simulation based on three Brazilian prevalence scenarios of HAIs in ICU patients (29.1%, 51.2%, and 61.6%) was used; and third, the annual direct costs of HAIs in 50 university hospitals were simulated. Findings: Patients with HAIs had 16 additional days in the ICU, along with an extra direct cost of US$13.892, compared to those without HAIs. In one hypothetical scenario without HAI, the direct annual cost of hospital care for 26,649 inpatients in adult ICUs of 50 hospitals was US$112,924,421. There was an increase of approximately US$56 million in a scenario with 29.1%, and an increase of US$147 million in a scenario with 61.6%. The impact on the direct cost became significant starting at a 10% prevalence of HAIs, where US$2,824,817 is added for each 1% increase in prevalence. Conclusion: This analysis provides robust and updated estimates showing that HAI places a significant financial burden on the Brazilian healthcare system and contributes to a longer stay for inpatients. (c) 2021 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:96 / 102
页数:7
相关论文
共 34 条
[1]  
Agencia Nacional de Vigilancia Sanitaria (ANVISA), 2017, BRAS CRIT DIAGN INF, V2017
[2]   Multi-hospital point prevalence study of healthcare-associated infections in 28 adult intensive care units in Brazil [J].
Braga, I. A. ;
Campos, P. A. ;
Gontijo-Filho, P. P. ;
Ribas, R. M. .
JOURNAL OF HOSPITAL INFECTION, 2018, 99 (03) :318-324
[3]   The rising problem of antimicrobial resistance in the intensive care unit [J].
Brusselaers, Nele ;
Vogelaers, Dirk ;
Blot, Stijn .
ANNALS OF INTENSIVE CARE, 2011, 1
[4]  
Centers for Medicare and Medicaid Services (CMS) HHS, 2007, Fed Regist, V72, P47129
[5]  
Chacko Binila, 2017, World J Crit Care Med, V6, P79, DOI 10.5492/wjccm.v6.i1.79
[6]   The impact of methicillin-resistance in Staphylococcus aureus bacteremia on patient outcomes:: Mortality, length of stay, and hospital charges [J].
Cosgrove, SE ;
Qi, YL ;
Kaye, KS ;
Harbarth, S ;
Karchmer, AW ;
Carmeli, Y .
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2005, 26 (02) :166-174
[7]  
da Saude Ministerio, 2014, DIR MET DIR AV EC, V2nd, P132
[8]   1977 RIETZ LECTURE - BOOTSTRAP METHODS - ANOTHER LOOK AT THE JACKKNIFE [J].
EFRON, B .
ANNALS OF STATISTICS, 1979, 7 (01) :1-26
[9]   Cost of Gram-negative resistance [J].
Evans, Heather L. ;
Lefrak, Shayna N. ;
Lyman, Jason ;
Smith, Robert L. ;
Chong, Tae W. ;
McElearney, Shannon T. ;
Schulman, Alison R. ;
Hughes, Michael G. ;
Raymond, Daniel P. ;
Pruett, Timothy L. ;
Sawyer, Robert G. .
CRITICAL CARE MEDICINE, 2007, 35 (01) :89-95
[10]   Magnitude and prevention of nosocomial infections in the intensive care unit [J].
Fridkin, SK ;
Welbel, SF ;
Weinstein, RA .
INFECTIOUS DISEASE CLINICS OF NORTH AMERICA, 1997, 11 (02) :479-+