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Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011

OBJECTIVES: To study the association of place-based socioeconomic factors with disease distribution by comparing hospitalisation rates in California in 2001 and 2011 by zip code median household income. DESIGN: Serial cross-sectional study testing the association between hospitalisation rates and zi...

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Autores principales: Raphael, Eva, Gaynes, R, Hamad, Rita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830629/
https://www.ncbi.nlm.nih.gov/pubmed/31662392
http://dx.doi.org/10.1136/bmjopen-2019-031556
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author Raphael, Eva
Gaynes, R
Hamad, Rita
author_facet Raphael, Eva
Gaynes, R
Hamad, Rita
author_sort Raphael, Eva
collection PubMed
description OBJECTIVES: To study the association of place-based socioeconomic factors with disease distribution by comparing hospitalisation rates in California in 2001 and 2011 by zip code median household income. DESIGN: Serial cross-sectional study testing the association between hospitalisation rates and zip code-level median income, with subgroup analyses by zip code income and race. PARTICIPANTS/SETTING: Our study included all hospitalised adults over 18 years old living in California in 2001 and 2011 who were not pregnant or incarcerated. This included all acute-care hospitalisations in California including 1632 zip codes in 2001 and 1672 zip codes in 2011. PRIMARY AND SECONDARY OUTCOMES: We compared age-standardised hospitalisations per 100 000 persons, overall and for several disease categories. RESULTS: There were 1.58 and 1.78 million hospitalisations in California in 2001 and 2011, respectively. Spatial analysis showed the highest hospitalisation rates in urban inner cities and rural areas, with more than 5000 hospitalisations per 100 000 persons. Hospitalisations per 100 000 persons were consistently highest in the lowest zip code income quintile and particularly among black patients. CONCLUSION: Hospitalisation rates rose from 2001 to 2011 among Californians living in low-income and middle-income zip codes. Integrating spatially defined state hospital discharge and federal zip code income data provided a granular description of disease burden. This method may help identify high-risk areas and evaluate public health interventions targeting health disparities.
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spelling pubmed-68306292019-11-20 Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011 Raphael, Eva Gaynes, R Hamad, Rita BMJ Open Epidemiology OBJECTIVES: To study the association of place-based socioeconomic factors with disease distribution by comparing hospitalisation rates in California in 2001 and 2011 by zip code median household income. DESIGN: Serial cross-sectional study testing the association between hospitalisation rates and zip code-level median income, with subgroup analyses by zip code income and race. PARTICIPANTS/SETTING: Our study included all hospitalised adults over 18 years old living in California in 2001 and 2011 who were not pregnant or incarcerated. This included all acute-care hospitalisations in California including 1632 zip codes in 2001 and 1672 zip codes in 2011. PRIMARY AND SECONDARY OUTCOMES: We compared age-standardised hospitalisations per 100 000 persons, overall and for several disease categories. RESULTS: There were 1.58 and 1.78 million hospitalisations in California in 2001 and 2011, respectively. Spatial analysis showed the highest hospitalisation rates in urban inner cities and rural areas, with more than 5000 hospitalisations per 100 000 persons. Hospitalisations per 100 000 persons were consistently highest in the lowest zip code income quintile and particularly among black patients. CONCLUSION: Hospitalisation rates rose from 2001 to 2011 among Californians living in low-income and middle-income zip codes. Integrating spatially defined state hospital discharge and federal zip code income data provided a granular description of disease burden. This method may help identify high-risk areas and evaluate public health interventions targeting health disparities. BMJ Publishing Group 2019-10-28 /pmc/articles/PMC6830629/ /pubmed/31662392 http://dx.doi.org/10.1136/bmjopen-2019-031556 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Raphael, Eva
Gaynes, R
Hamad, Rita
Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011
title Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011
title_full Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011
title_fullStr Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011
title_full_unstemmed Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011
title_short Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011
title_sort cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in california in 2001 and 2011
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830629/
https://www.ncbi.nlm.nih.gov/pubmed/31662392
http://dx.doi.org/10.1136/bmjopen-2019-031556
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