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Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study

Healthcare-associated infection (HAI) is a major cause of morbidity, mortality and cost, which vary widely by region and hospital. In this case-control study, we calculated losses attributable to HAI in central China. A total of 2976 patients in 10 hospitals were enrolled, and the incidence rate of...

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Autores principales: Li, Peng, Li, Yan, Zhang, Youjian, Bao, Junzhe, Yuan, Ruixia, Lan, Hongwen, Sun, Mingjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472031/
https://www.ncbi.nlm.nih.gov/pubmed/36065612
http://dx.doi.org/10.1017/S0950268822001340
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author Li, Peng
Li, Yan
Zhang, Youjian
Bao, Junzhe
Yuan, Ruixia
Lan, Hongwen
Sun, Mingjie
author_facet Li, Peng
Li, Yan
Zhang, Youjian
Bao, Junzhe
Yuan, Ruixia
Lan, Hongwen
Sun, Mingjie
author_sort Li, Peng
collection PubMed
description Healthcare-associated infection (HAI) is a major cause of morbidity, mortality and cost, which vary widely by region and hospital. In this case-control study, we calculated losses attributable to HAI in central China. A total of 2976 patients in 10 hospitals were enrolled, and the incidence rate of HAI (range, 0.88–4.15%) was significantly, but negatively associated with the cost per 1000 beds of its prevention (range, $24 929.76–$53 146.41; r = −0.76). The per capita economic loss attributable to HAIs was $2047.07 (interquartile range, $327.63–$6429.17), mainly from the pharmaceutical cost (median, $1044.39). The HAIs, which occurred in patients with commercial medical insurance, affected the haematologic system and caused by Acinetobacter baumannii, contributed most to the losses (median, $3881.55, $4734.20 and $9882.75, respectively). Furthermore, the economic losses attributable to device-associated infections and hospital-acquired multi-drug resistant bacteria were two to four times those of the controls. The burden attributable to HAI is heavy, and opportunities for easing this burden exist in several areas, including that strengthening antibiotic stewardship and practicing effective bundle of HAI prevention for patients carrying high-risk factors, for example, elders or those with catheterisations in healthcare institutions, and accelerating the medical insurance payment system reform based on diagnosis-related groups by policy-making departments.
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spelling pubmed-94720312022-09-15 Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study Li, Peng Li, Yan Zhang, Youjian Bao, Junzhe Yuan, Ruixia Lan, Hongwen Sun, Mingjie Epidemiol Infect Original Paper Healthcare-associated infection (HAI) is a major cause of morbidity, mortality and cost, which vary widely by region and hospital. In this case-control study, we calculated losses attributable to HAI in central China. A total of 2976 patients in 10 hospitals were enrolled, and the incidence rate of HAI (range, 0.88–4.15%) was significantly, but negatively associated with the cost per 1000 beds of its prevention (range, $24 929.76–$53 146.41; r = −0.76). The per capita economic loss attributable to HAIs was $2047.07 (interquartile range, $327.63–$6429.17), mainly from the pharmaceutical cost (median, $1044.39). The HAIs, which occurred in patients with commercial medical insurance, affected the haematologic system and caused by Acinetobacter baumannii, contributed most to the losses (median, $3881.55, $4734.20 and $9882.75, respectively). Furthermore, the economic losses attributable to device-associated infections and hospital-acquired multi-drug resistant bacteria were two to four times those of the controls. The burden attributable to HAI is heavy, and opportunities for easing this burden exist in several areas, including that strengthening antibiotic stewardship and practicing effective bundle of HAI prevention for patients carrying high-risk factors, for example, elders or those with catheterisations in healthcare institutions, and accelerating the medical insurance payment system reform based on diagnosis-related groups by policy-making departments. Cambridge University Press 2022-08-15 /pmc/articles/PMC9472031/ /pubmed/36065612 http://dx.doi.org/10.1017/S0950268822001340 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Paper
Li, Peng
Li, Yan
Zhang, Youjian
Bao, Junzhe
Yuan, Ruixia
Lan, Hongwen
Sun, Mingjie
Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study
title Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study
title_full Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study
title_fullStr Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study
title_full_unstemmed Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study
title_short Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study
title_sort economic burden attributable to healthcare-associated infections in tertiary public hospitals of central china: a multi-centre case-control study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472031/
https://www.ncbi.nlm.nih.gov/pubmed/36065612
http://dx.doi.org/10.1017/S0950268822001340
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