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Spatial analysis of elderly access to primary care services

BACKGROUND: Admissions for Ambulatory Care Sensitive Conditions (ACSCs) are considered preventable admissions, because they are unlikely to occur when good preventive health care is received. Thus, high rates of admissions for ACSCs among the elderly (persons aged 65 or above who qualify for Medicar...

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Autores principales: Mobley, Lee R, Root, Elisabeth, Anselin, Luc, Lozano-Gracia, Nancy, Koschinsky, Julia
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1482683/
https://www.ncbi.nlm.nih.gov/pubmed/16700904
http://dx.doi.org/10.1186/1476-072X-5-19
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author Mobley, Lee R
Root, Elisabeth
Anselin, Luc
Lozano-Gracia, Nancy
Koschinsky, Julia
author_facet Mobley, Lee R
Root, Elisabeth
Anselin, Luc
Lozano-Gracia, Nancy
Koschinsky, Julia
author_sort Mobley, Lee R
collection PubMed
description BACKGROUND: Admissions for Ambulatory Care Sensitive Conditions (ACSCs) are considered preventable admissions, because they are unlikely to occur when good preventive health care is received. Thus, high rates of admissions for ACSCs among the elderly (persons aged 65 or above who qualify for Medicare health insurance) are signals of poor preventive care utilization. The relevant geographic market to use in studying these admission rates is the primary care physician market. Our conceptual model assumes that local market conditions serving as interventions along the pathways to preventive care services utilization can impact ACSC admission rates. RESULTS: We examine the relationships between market-level supply and demand factors on market-level rates of ACSC admissions among the elderly residing in the U.S. in the late 1990s. Using 6,475 natural markets in the mainland U.S. defined by The Health Resources and Services Administration's Primary Care Service Area Project, spatial regression is used to estimate the model, controlling for disease severity using detailed information from Medicare claims files. Our evidence suggests that elderly living in impoverished rural areas or in sprawling suburban places are about equally more likely to be admitted for ACSCs. Greater availability of physicians does not seem to matter, but greater prevalence of non-physician clinicians and international medical graduates, relative to U.S. medical graduates, does seem to reduce ACSC admissions, especially in poor rural areas. CONCLUSION: The relative importance of non-physician clinicians and international medical graduates in providing primary care to the elderly in geographic areas of greatest need can inform the ongoing debate regarding whether there is an impending shortage of physicians in the United States. These findings support other authors who claim that the existing supply of physicians is perhaps adequate, however the distribution of them across the landscape may not be optimal. The finding that elderly who reside in sprawling urban areas have access impediments about equal to residents of poor rural communities is new, and demonstrates the value of conceptualizing and modelling impedance based on place and local context.
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spelling pubmed-14826832006-06-24 Spatial analysis of elderly access to primary care services Mobley, Lee R Root, Elisabeth Anselin, Luc Lozano-Gracia, Nancy Koschinsky, Julia Int J Health Geogr Research BACKGROUND: Admissions for Ambulatory Care Sensitive Conditions (ACSCs) are considered preventable admissions, because they are unlikely to occur when good preventive health care is received. Thus, high rates of admissions for ACSCs among the elderly (persons aged 65 or above who qualify for Medicare health insurance) are signals of poor preventive care utilization. The relevant geographic market to use in studying these admission rates is the primary care physician market. Our conceptual model assumes that local market conditions serving as interventions along the pathways to preventive care services utilization can impact ACSC admission rates. RESULTS: We examine the relationships between market-level supply and demand factors on market-level rates of ACSC admissions among the elderly residing in the U.S. in the late 1990s. Using 6,475 natural markets in the mainland U.S. defined by The Health Resources and Services Administration's Primary Care Service Area Project, spatial regression is used to estimate the model, controlling for disease severity using detailed information from Medicare claims files. Our evidence suggests that elderly living in impoverished rural areas or in sprawling suburban places are about equally more likely to be admitted for ACSCs. Greater availability of physicians does not seem to matter, but greater prevalence of non-physician clinicians and international medical graduates, relative to U.S. medical graduates, does seem to reduce ACSC admissions, especially in poor rural areas. CONCLUSION: The relative importance of non-physician clinicians and international medical graduates in providing primary care to the elderly in geographic areas of greatest need can inform the ongoing debate regarding whether there is an impending shortage of physicians in the United States. These findings support other authors who claim that the existing supply of physicians is perhaps adequate, however the distribution of them across the landscape may not be optimal. The finding that elderly who reside in sprawling urban areas have access impediments about equal to residents of poor rural communities is new, and demonstrates the value of conceptualizing and modelling impedance based on place and local context. BioMed Central 2006-05-15 /pmc/articles/PMC1482683/ /pubmed/16700904 http://dx.doi.org/10.1186/1476-072X-5-19 Text en Copyright © 2006 Mobley et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Mobley, Lee R
Root, Elisabeth
Anselin, Luc
Lozano-Gracia, Nancy
Koschinsky, Julia
Spatial analysis of elderly access to primary care services
title Spatial analysis of elderly access to primary care services
title_full Spatial analysis of elderly access to primary care services
title_fullStr Spatial analysis of elderly access to primary care services
title_full_unstemmed Spatial analysis of elderly access to primary care services
title_short Spatial analysis of elderly access to primary care services
title_sort spatial analysis of elderly access to primary care services
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1482683/
https://www.ncbi.nlm.nih.gov/pubmed/16700904
http://dx.doi.org/10.1186/1476-072X-5-19
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