Cargando…

Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries

BACKGROUND: Proposed payment reforms in the US healthcare system would hold providers accountable for the care delivered to an assigned patient population. Annual hemoglobin A1c (HbA1c) tests are recommended for all diabetics, but some patient populations may face barriers to high quality healthcare...

Descripción completa

Detalles Bibliográficos
Autores principales: Yasaitis, Laura C., Bubolz, Thomas, Skinner, Jonathan S., Chandra, Amitabh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215926/
https://www.ncbi.nlm.nih.gov/pubmed/25360615
http://dx.doi.org/10.1371/journal.pone.0111119
_version_ 1782342179336749056
author Yasaitis, Laura C.
Bubolz, Thomas
Skinner, Jonathan S.
Chandra, Amitabh
author_facet Yasaitis, Laura C.
Bubolz, Thomas
Skinner, Jonathan S.
Chandra, Amitabh
author_sort Yasaitis, Laura C.
collection PubMed
description BACKGROUND: Proposed payment reforms in the US healthcare system would hold providers accountable for the care delivered to an assigned patient population. Annual hemoglobin A1c (HbA1c) tests are recommended for all diabetics, but some patient populations may face barriers to high quality healthcare that are beyond providers' control. The magnitude of fine-grained variations in care for diabetic Medicare beneficiaries, and their associations with local population characteristics, are unknown. METHODS: HbA1c tests were recorded for 480,745 diabetic Medicare beneficiaries. Spatial analysis was used to create ZIP code-level estimated testing rates. Associations of testing rates with local population characteristics that are outside the control of providers – population density, the percent African American, with less than a high school education, or living in poverty – were assessed. RESULTS: In 2009, 83.3% of diabetic Medicare beneficiaries received HbA1c tests. Estimated ZIP code-level rates ranged from 71.0% in the lowest decile to 93.1% in the highest. With each 10% increase in the percent of the population that was African American, associated HbA1c testing rates were 0.24% lower (95% CI −0.32–−0.17); for identical increases in the percent with less than a high school education or the percent living in poverty, testing rates were 0.70% lower (−0.95–−0.46) and 1.6% lower (−1.8–−1.4), respectively. Testing rates were lowest in the least and most densely populated ZIP codes. Population characteristics explained 5% of testing rate variations. CONCLUSIONS: HbA1c testing rates are associated with population characteristics, but these characteristics fail to explain the vast majority of variations. Consequently, even complete risk-adjustment may have little impact on some process of care quality measures; much of the ZIP code-related variations in testing rates likely result from provider-based differences and idiosyncratic local factors not related to poverty, education, or race.
format Online
Article
Text
id pubmed-4215926
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-42159262014-11-05 Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries Yasaitis, Laura C. Bubolz, Thomas Skinner, Jonathan S. Chandra, Amitabh PLoS One Research Article BACKGROUND: Proposed payment reforms in the US healthcare system would hold providers accountable for the care delivered to an assigned patient population. Annual hemoglobin A1c (HbA1c) tests are recommended for all diabetics, but some patient populations may face barriers to high quality healthcare that are beyond providers' control. The magnitude of fine-grained variations in care for diabetic Medicare beneficiaries, and their associations with local population characteristics, are unknown. METHODS: HbA1c tests were recorded for 480,745 diabetic Medicare beneficiaries. Spatial analysis was used to create ZIP code-level estimated testing rates. Associations of testing rates with local population characteristics that are outside the control of providers – population density, the percent African American, with less than a high school education, or living in poverty – were assessed. RESULTS: In 2009, 83.3% of diabetic Medicare beneficiaries received HbA1c tests. Estimated ZIP code-level rates ranged from 71.0% in the lowest decile to 93.1% in the highest. With each 10% increase in the percent of the population that was African American, associated HbA1c testing rates were 0.24% lower (95% CI −0.32–−0.17); for identical increases in the percent with less than a high school education or the percent living in poverty, testing rates were 0.70% lower (−0.95–−0.46) and 1.6% lower (−1.8–−1.4), respectively. Testing rates were lowest in the least and most densely populated ZIP codes. Population characteristics explained 5% of testing rate variations. CONCLUSIONS: HbA1c testing rates are associated with population characteristics, but these characteristics fail to explain the vast majority of variations. Consequently, even complete risk-adjustment may have little impact on some process of care quality measures; much of the ZIP code-related variations in testing rates likely result from provider-based differences and idiosyncratic local factors not related to poverty, education, or race. Public Library of Science 2014-10-31 /pmc/articles/PMC4215926/ /pubmed/25360615 http://dx.doi.org/10.1371/journal.pone.0111119 Text en © 2014 Yasaitis et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yasaitis, Laura C.
Bubolz, Thomas
Skinner, Jonathan S.
Chandra, Amitabh
Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries
title Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries
title_full Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries
title_fullStr Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries
title_full_unstemmed Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries
title_short Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries
title_sort local population characteristics and hemoglobin a1c testing rates among diabetic medicare beneficiaries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215926/
https://www.ncbi.nlm.nih.gov/pubmed/25360615
http://dx.doi.org/10.1371/journal.pone.0111119
work_keys_str_mv AT yasaitislaurac localpopulationcharacteristicsandhemoglobina1ctestingratesamongdiabeticmedicarebeneficiaries
AT bubolzthomas localpopulationcharacteristicsandhemoglobina1ctestingratesamongdiabeticmedicarebeneficiaries
AT skinnerjonathans localpopulationcharacteristicsandhemoglobina1ctestingratesamongdiabeticmedicarebeneficiaries
AT chandraamitabh localpopulationcharacteristicsandhemoglobina1ctestingratesamongdiabeticmedicarebeneficiaries