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Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study

BACKGROUND: Marked disparities by socioeconomic status in the risk of potentially avoidable hospitalization for chronic illnesses have been observed in many contexts, including those with universal health coverage. Less well known is how gender mediates such differences. We conducted a population-ba...

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Autores principales: Gupta, Neeru, Crouse, Dan L., Balram, Adele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961319/
https://www.ncbi.nlm.nih.gov/pubmed/31937292
http://dx.doi.org/10.1186/s12889-020-8159-1
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author Gupta, Neeru
Crouse, Dan L.
Balram, Adele
author_facet Gupta, Neeru
Crouse, Dan L.
Balram, Adele
author_sort Gupta, Neeru
collection PubMed
description BACKGROUND: Marked disparities by socioeconomic status in the risk of potentially avoidable hospitalization for chronic illnesses have been observed in many contexts, including those with universal health coverage. Less well known is how gender mediates such differences. We conducted a population-based cohort study to describe associations between household and community-level income and rehospitalizations for types 1 and 2 diabetes mellitus among Canadian women and men. METHODS: Our cohorts were drawn from respondents to the 2006 mandatory long-form census linked longitudinally to 3 years of nationally standardized hospital records. We included adults 30–69 years hospitalized with diabetes at least once during the study period. We used logistic regressions to estimate odds ratios for 12-month diabetes rehospitalization associated with indicators of household and community-level income, with separate models by gender, and controlling for a range of other sociodemographic characteristics. Since diabetes may not always be recognized as the main reason for hospitalization, we accounted for disease progression through consideration of admissions where diabetes was previously identified as a secondary diagnosis. RESULTS: Among persons hospitalized at least once with diabetes (n = 41,290), 1.5% were readmitted within 12 months where the initial admission had diabetes as the primary diagnosis, and 1.8% were readmitted where the initial admission had diabetes as a secondary diagnosis. For men, being in the lowest household income quintile was associated with higher odds of rehospitalization in cases where the initial admission listed diabetes as either the primary diagnosis (OR = 2.21; 95% CI = 1.38–3.51) or a secondary diagnosis (OR = 1.51; 95% CI = 1.02–2.24). For women, we found no association with income and rehospitalization, but having less than university education was associated with higher odds of rehospitalization where diabetes was a secondary diagnosis of the initial admission (OR = 1.88; 95% CI = 1.21–2.92). We also found positive, but insignificant associations between community-level poverty and odds of rehospitalization. CONCLUSIONS: Universal health coverage remains insufficient to eliminate socioeconomic inequalities in preventable diabetes-related hospitalizations, as illustrated in this Canadian context. Decision-makers should tread cautiously with gender-blind poverty reduction actions aiming to enhance population health that may inadequately respond to the different needs of disadvantaged women and men with chronic illness.
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spelling pubmed-69613192020-01-17 Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study Gupta, Neeru Crouse, Dan L. Balram, Adele BMC Public Health Research Article BACKGROUND: Marked disparities by socioeconomic status in the risk of potentially avoidable hospitalization for chronic illnesses have been observed in many contexts, including those with universal health coverage. Less well known is how gender mediates such differences. We conducted a population-based cohort study to describe associations between household and community-level income and rehospitalizations for types 1 and 2 diabetes mellitus among Canadian women and men. METHODS: Our cohorts were drawn from respondents to the 2006 mandatory long-form census linked longitudinally to 3 years of nationally standardized hospital records. We included adults 30–69 years hospitalized with diabetes at least once during the study period. We used logistic regressions to estimate odds ratios for 12-month diabetes rehospitalization associated with indicators of household and community-level income, with separate models by gender, and controlling for a range of other sociodemographic characteristics. Since diabetes may not always be recognized as the main reason for hospitalization, we accounted for disease progression through consideration of admissions where diabetes was previously identified as a secondary diagnosis. RESULTS: Among persons hospitalized at least once with diabetes (n = 41,290), 1.5% were readmitted within 12 months where the initial admission had diabetes as the primary diagnosis, and 1.8% were readmitted where the initial admission had diabetes as a secondary diagnosis. For men, being in the lowest household income quintile was associated with higher odds of rehospitalization in cases where the initial admission listed diabetes as either the primary diagnosis (OR = 2.21; 95% CI = 1.38–3.51) or a secondary diagnosis (OR = 1.51; 95% CI = 1.02–2.24). For women, we found no association with income and rehospitalization, but having less than university education was associated with higher odds of rehospitalization where diabetes was a secondary diagnosis of the initial admission (OR = 1.88; 95% CI = 1.21–2.92). We also found positive, but insignificant associations between community-level poverty and odds of rehospitalization. CONCLUSIONS: Universal health coverage remains insufficient to eliminate socioeconomic inequalities in preventable diabetes-related hospitalizations, as illustrated in this Canadian context. Decision-makers should tread cautiously with gender-blind poverty reduction actions aiming to enhance population health that may inadequately respond to the different needs of disadvantaged women and men with chronic illness. BioMed Central 2020-01-14 /pmc/articles/PMC6961319/ /pubmed/31937292 http://dx.doi.org/10.1186/s12889-020-8159-1 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Gupta, Neeru
Crouse, Dan L.
Balram, Adele
Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study
title Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study
title_full Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study
title_fullStr Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study
title_full_unstemmed Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study
title_short Individual and community-level income and the risk of diabetes rehospitalization among women and men: a Canadian population-based cohort study
title_sort individual and community-level income and the risk of diabetes rehospitalization among women and men: a canadian population-based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961319/
https://www.ncbi.nlm.nih.gov/pubmed/31937292
http://dx.doi.org/10.1186/s12889-020-8159-1
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