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Sex differences in direct healthcare costs following stroke: a population-based cohort study

BACKGROUND: The economic burden of stroke on the healthcare system has been previously described, but sex differences in healthcare costs have not been well characterized. We described the direct person-level healthcare cost in men and women as well as the various health settings in which costs were...

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Autores principales: Yu, Amy Y. X., Krahn, Murray, Austin, Peter C., Rashid, Mohammed, Fang, Jiming, Porter, Joan, Vyas, Manav V., Bronskill, Susan E., Smith, Eric E., Swartz, Richard H., Kapral, Moira K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240191/
https://www.ncbi.nlm.nih.gov/pubmed/34187462
http://dx.doi.org/10.1186/s12913-021-06669-w
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author Yu, Amy Y. X.
Krahn, Murray
Austin, Peter C.
Rashid, Mohammed
Fang, Jiming
Porter, Joan
Vyas, Manav V.
Bronskill, Susan E.
Smith, Eric E.
Swartz, Richard H.
Kapral, Moira K.
author_facet Yu, Amy Y. X.
Krahn, Murray
Austin, Peter C.
Rashid, Mohammed
Fang, Jiming
Porter, Joan
Vyas, Manav V.
Bronskill, Susan E.
Smith, Eric E.
Swartz, Richard H.
Kapral, Moira K.
author_sort Yu, Amy Y. X.
collection PubMed
description BACKGROUND: The economic burden of stroke on the healthcare system has been previously described, but sex differences in healthcare costs have not been well characterized. We described the direct person-level healthcare cost in men and women as well as the various health settings in which costs were incurred following stroke. METHODS: In this population-based cohort study of patients admitted to hospital with stroke between 2008 and 2017 in Ontario, Canada, we used linked administrative data to calculate direct person-level costs in Canadian dollars in the one-year following stroke. We used a generalized linear model with a gamma distribution and a log link function to compare costs in women and men with and without adjustment for baseline clinical differences. We also assessed for an interaction between age and sex using restricted cubic splines to model the association of age with costs. RESULTS: We identified 101,252 patients (49% were women, median age [Q1-Q3] was 76 years [65–84]). Unadjusted costs following stroke were higher in women compared to men (mean ± standard deviation cost was $54,012 ± 54,766 for women versus $52,829 ± 59,955 for men, and median cost was $36,703 [$16,496–$72,227] for women versus $32,903 [$15,485–$66,007] for men). However, after adjustment, women had 3% lower costs compared to men (relative cost ratio and 95% confidence interval 0.97 [0.96,0.98]). The lower cost in women compared to men was most prominent among people aged over 85 years (p for interaction = 0.03). Women incurred lower costs than men in outpatient care and rehabilitation, but higher costs in complex continuing care, long-term care, and home care. CONCLUSIONS: Patterns of resource utilization and direct medical costs were different between men and women after stroke. Our findings inform public payers of the drivers of costs following stroke and suggest the need for sex-based cost-effectiveness evaluation of stroke interventions with consideration of costs in all care settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06669-w.
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spelling pubmed-82401912021-06-29 Sex differences in direct healthcare costs following stroke: a population-based cohort study Yu, Amy Y. X. Krahn, Murray Austin, Peter C. Rashid, Mohammed Fang, Jiming Porter, Joan Vyas, Manav V. Bronskill, Susan E. Smith, Eric E. Swartz, Richard H. Kapral, Moira K. BMC Health Serv Res Research BACKGROUND: The economic burden of stroke on the healthcare system has been previously described, but sex differences in healthcare costs have not been well characterized. We described the direct person-level healthcare cost in men and women as well as the various health settings in which costs were incurred following stroke. METHODS: In this population-based cohort study of patients admitted to hospital with stroke between 2008 and 2017 in Ontario, Canada, we used linked administrative data to calculate direct person-level costs in Canadian dollars in the one-year following stroke. We used a generalized linear model with a gamma distribution and a log link function to compare costs in women and men with and without adjustment for baseline clinical differences. We also assessed for an interaction between age and sex using restricted cubic splines to model the association of age with costs. RESULTS: We identified 101,252 patients (49% were women, median age [Q1-Q3] was 76 years [65–84]). Unadjusted costs following stroke were higher in women compared to men (mean ± standard deviation cost was $54,012 ± 54,766 for women versus $52,829 ± 59,955 for men, and median cost was $36,703 [$16,496–$72,227] for women versus $32,903 [$15,485–$66,007] for men). However, after adjustment, women had 3% lower costs compared to men (relative cost ratio and 95% confidence interval 0.97 [0.96,0.98]). The lower cost in women compared to men was most prominent among people aged over 85 years (p for interaction = 0.03). Women incurred lower costs than men in outpatient care and rehabilitation, but higher costs in complex continuing care, long-term care, and home care. CONCLUSIONS: Patterns of resource utilization and direct medical costs were different between men and women after stroke. Our findings inform public payers of the drivers of costs following stroke and suggest the need for sex-based cost-effectiveness evaluation of stroke interventions with consideration of costs in all care settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06669-w. BioMed Central 2021-06-29 /pmc/articles/PMC8240191/ /pubmed/34187462 http://dx.doi.org/10.1186/s12913-021-06669-w Text en © The Author(s) 2021 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
Yu, Amy Y. X.
Krahn, Murray
Austin, Peter C.
Rashid, Mohammed
Fang, Jiming
Porter, Joan
Vyas, Manav V.
Bronskill, Susan E.
Smith, Eric E.
Swartz, Richard H.
Kapral, Moira K.
Sex differences in direct healthcare costs following stroke: a population-based cohort study
title Sex differences in direct healthcare costs following stroke: a population-based cohort study
title_full Sex differences in direct healthcare costs following stroke: a population-based cohort study
title_fullStr Sex differences in direct healthcare costs following stroke: a population-based cohort study
title_full_unstemmed Sex differences in direct healthcare costs following stroke: a population-based cohort study
title_short Sex differences in direct healthcare costs following stroke: a population-based cohort study
title_sort sex differences in direct healthcare costs following stroke: a population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240191/
https://www.ncbi.nlm.nih.gov/pubmed/34187462
http://dx.doi.org/10.1186/s12913-021-06669-w
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