Osme SF, Souza JM, Osme IT, Almeida APS, Arantes A, Mendes-Rodrigues C, Gontijo Filho PP, Ribas RM. Financial impact of healthcare-associated infections on intensive care units estimated for fifty Brazilian university hospitals affiliated to the unified health system.
J Hosp Infect 2021;
117:96-102. [PMID:
34461175 DOI:
10.1016/j.jhin.2021.08.012]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/03/2021] [Accepted: 08/17/2021] [Indexed: 12/29/2022]
Abstract
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 Único de Saúde: 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.
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