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Production loss and sick leave caused by antibiotic resistance: a register-based cohort study
BACKGROUND: Adverse economic consequences of antibiotic resistance, both in health care systems and in society at large, have been estimated to emerge and significantly affect the global economy. To date, most studies of the societal costs of antibiotic resistance have had a macroeconomic perspectiv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932015/ https://www.ncbi.nlm.nih.gov/pubmed/35300650 http://dx.doi.org/10.1186/s12889-022-12947-x |
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author | Larsson, Sofie Svensson, Mikael Ternhag, Anders |
author_facet | Larsson, Sofie Svensson, Mikael Ternhag, Anders |
author_sort | Larsson, Sofie |
collection | PubMed |
description | BACKGROUND: Adverse economic consequences of antibiotic resistance, both in health care systems and in society at large, have been estimated to emerge and significantly affect the global economy. To date, most studies of the societal costs of antibiotic resistance have had a macroeconomic perspective, using the number of attributable deaths as a quantifier for production loss. In contrast, there have been few studies of the consequences of antibiotic resistance in terms of the length of sick leave and hence the impact of morbidity on production loss. The aim of our study was to estimate the production loss from ill health caused by antibiotic resistance. METHOD: To estimate additional production loss due to antibiotic resistance, we used Swedish register-based cohort data to determine days of long-term sick leave (LTSL) for episodes of infection caused by resistant and susceptible bacteria respectively. We collected patient data for four common infection types (bloodstream infection, urinary tract infection, skin and soft tissue infection, and pneumonia), as well as, antibiotic susceptibility test data, and total days of LTSL. We used a two-part model to estimate the number of LTSL days attributable to resistance, and controlled for comorbidities and demographic variables such as age and gender. RESULTS: The results show that antibiotic resistance adds an additional 8.19 days of LTSL compared with a similar infection caused by susceptible bacteria, independent of infection type and resistance type. Furthermore, the results suggest that production loss due to temporary sick leave caused by antibiotic resistance in a working-age population amounts to about 7% of total health care costs attributable to antibiotic resistance in Sweden. CONCLUSION: Estimating the effect of antibiotic resistance in terms of temporary production loss is important to gain a better understanding of the economic consequences of antibiotic resistance in society and, by extension, enable more effective resource allocation to combat further emergence of resistance. Society’s economic costs of antibiotic resistance are, however, probably much greater than those of sick leave due to disease alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12947-x. |
format | Online Article Text |
id | pubmed-8932015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89320152022-03-23 Production loss and sick leave caused by antibiotic resistance: a register-based cohort study Larsson, Sofie Svensson, Mikael Ternhag, Anders BMC Public Health Research BACKGROUND: Adverse economic consequences of antibiotic resistance, both in health care systems and in society at large, have been estimated to emerge and significantly affect the global economy. To date, most studies of the societal costs of antibiotic resistance have had a macroeconomic perspective, using the number of attributable deaths as a quantifier for production loss. In contrast, there have been few studies of the consequences of antibiotic resistance in terms of the length of sick leave and hence the impact of morbidity on production loss. The aim of our study was to estimate the production loss from ill health caused by antibiotic resistance. METHOD: To estimate additional production loss due to antibiotic resistance, we used Swedish register-based cohort data to determine days of long-term sick leave (LTSL) for episodes of infection caused by resistant and susceptible bacteria respectively. We collected patient data for four common infection types (bloodstream infection, urinary tract infection, skin and soft tissue infection, and pneumonia), as well as, antibiotic susceptibility test data, and total days of LTSL. We used a two-part model to estimate the number of LTSL days attributable to resistance, and controlled for comorbidities and demographic variables such as age and gender. RESULTS: The results show that antibiotic resistance adds an additional 8.19 days of LTSL compared with a similar infection caused by susceptible bacteria, independent of infection type and resistance type. Furthermore, the results suggest that production loss due to temporary sick leave caused by antibiotic resistance in a working-age population amounts to about 7% of total health care costs attributable to antibiotic resistance in Sweden. CONCLUSION: Estimating the effect of antibiotic resistance in terms of temporary production loss is important to gain a better understanding of the economic consequences of antibiotic resistance in society and, by extension, enable more effective resource allocation to combat further emergence of resistance. Society’s economic costs of antibiotic resistance are, however, probably much greater than those of sick leave due to disease alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12947-x. BioMed Central 2022-03-17 /pmc/articles/PMC8932015/ /pubmed/35300650 http://dx.doi.org/10.1186/s12889-022-12947-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Larsson, Sofie Svensson, Mikael Ternhag, Anders Production loss and sick leave caused by antibiotic resistance: a register-based cohort study |
title | Production loss and sick leave caused by antibiotic resistance: a register-based cohort study |
title_full | Production loss and sick leave caused by antibiotic resistance: a register-based cohort study |
title_fullStr | Production loss and sick leave caused by antibiotic resistance: a register-based cohort study |
title_full_unstemmed | Production loss and sick leave caused by antibiotic resistance: a register-based cohort study |
title_short | Production loss and sick leave caused by antibiotic resistance: a register-based cohort study |
title_sort | production loss and sick leave caused by antibiotic resistance: a register-based cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932015/ https://www.ncbi.nlm.nih.gov/pubmed/35300650 http://dx.doi.org/10.1186/s12889-022-12947-x |
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