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Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study
OBJECTIVE: Patients with persistent poorly-controlled diabetes mellitus (PPDM) despite engagement in clinic-based care are at particularly high risk for diabetes complications and costs. Understanding this population’s demographics, comorbidities and care utilization could guide strategies to addres...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440639/ https://www.ncbi.nlm.nih.gov/pubmed/30925177 http://dx.doi.org/10.1371/journal.pone.0214679 |
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author | Alexopoulos, Anastasia-Stefania Jackson, George L. Edelman, David Smith, Valerie A. Berkowitz, Theodore S. Z. Woolson, Sandra L. Bosworth, Hayden B. Crowley, Matthew J. |
author_facet | Alexopoulos, Anastasia-Stefania Jackson, George L. Edelman, David Smith, Valerie A. Berkowitz, Theodore S. Z. Woolson, Sandra L. Bosworth, Hayden B. Crowley, Matthew J. |
author_sort | Alexopoulos, Anastasia-Stefania |
collection | PubMed |
description | OBJECTIVE: Patients with persistent poorly-controlled diabetes mellitus (PPDM) despite engagement in clinic-based care are at particularly high risk for diabetes complications and costs. Understanding this population’s demographics, comorbidities and care utilization could guide strategies to address PPDM. We characterized factors associated with PPDM in a large sample of Veterans with type 2 diabetes. METHODS: We identified a cohort of Veterans with medically treated type 2 diabetes, who received Veterans Health Administration primary care during fiscal years 2012 and 2013. PPDM was defined by hemoglobin A1c levels uniformly >8.5% during fiscal year (FY) 2012, despite engagement with care during this period. We used FY 2012 demographic, comorbidity and medication data to describe PPDM in relation to better-controlled diabetes patients and created multivariable models to examine associations between clinical factors and PPDM. We also constructed multivariable models to explore the association between PPDM and FY 2013 care utilization. RESULTS: In our cohort of diabetes patients (n = 435,820), 12% met criteria for PPDM. Patients with PPDM were younger than better-controlled patients, less often married, and more often Black/African-American and Hispanic or Latino/Latina. Of included comorbidities, only retinopathy (OR 1.68, 95% confidence interval (CI): 1.63,1.73) and nephropathy (OR 1.26, 95% CI: 1.19,1.34) demonstrated clinically significant associations with PPDM. Complex insulin regimens such as premixed (OR 10.80, 95% CI: 10.11,11.54) and prandial-containing regimens (OR 18.74, 95% CI: 17.73,19.81) were strongly associated with PPDM. Patients with PPDM had higher care utilization, particularly endocrinology care (RR 3.56, 95% CI: 3.47,3.66); although only 26.4% of patients saw endocrinology overall. CONCLUSION: PPDM is strongly associated with complex diabetes regimens, although heterogeneity in care utilization exists. While there is evidence of underutilization, inadequacy of available care may also contribute to PPDM. Our findings should inform tailored approaches to meet the needs of PPDM, who are among the highest-risk, highest-cost patients with diabetes. |
format | Online Article Text |
id | pubmed-6440639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64406392019-04-12 Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study Alexopoulos, Anastasia-Stefania Jackson, George L. Edelman, David Smith, Valerie A. Berkowitz, Theodore S. Z. Woolson, Sandra L. Bosworth, Hayden B. Crowley, Matthew J. PLoS One Research Article OBJECTIVE: Patients with persistent poorly-controlled diabetes mellitus (PPDM) despite engagement in clinic-based care are at particularly high risk for diabetes complications and costs. Understanding this population’s demographics, comorbidities and care utilization could guide strategies to address PPDM. We characterized factors associated with PPDM in a large sample of Veterans with type 2 diabetes. METHODS: We identified a cohort of Veterans with medically treated type 2 diabetes, who received Veterans Health Administration primary care during fiscal years 2012 and 2013. PPDM was defined by hemoglobin A1c levels uniformly >8.5% during fiscal year (FY) 2012, despite engagement with care during this period. We used FY 2012 demographic, comorbidity and medication data to describe PPDM in relation to better-controlled diabetes patients and created multivariable models to examine associations between clinical factors and PPDM. We also constructed multivariable models to explore the association between PPDM and FY 2013 care utilization. RESULTS: In our cohort of diabetes patients (n = 435,820), 12% met criteria for PPDM. Patients with PPDM were younger than better-controlled patients, less often married, and more often Black/African-American and Hispanic or Latino/Latina. Of included comorbidities, only retinopathy (OR 1.68, 95% confidence interval (CI): 1.63,1.73) and nephropathy (OR 1.26, 95% CI: 1.19,1.34) demonstrated clinically significant associations with PPDM. Complex insulin regimens such as premixed (OR 10.80, 95% CI: 10.11,11.54) and prandial-containing regimens (OR 18.74, 95% CI: 17.73,19.81) were strongly associated with PPDM. Patients with PPDM had higher care utilization, particularly endocrinology care (RR 3.56, 95% CI: 3.47,3.66); although only 26.4% of patients saw endocrinology overall. CONCLUSION: PPDM is strongly associated with complex diabetes regimens, although heterogeneity in care utilization exists. While there is evidence of underutilization, inadequacy of available care may also contribute to PPDM. Our findings should inform tailored approaches to meet the needs of PPDM, who are among the highest-risk, highest-cost patients with diabetes. Public Library of Science 2019-03-29 /pmc/articles/PMC6440639/ /pubmed/30925177 http://dx.doi.org/10.1371/journal.pone.0214679 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Alexopoulos, Anastasia-Stefania Jackson, George L. Edelman, David Smith, Valerie A. Berkowitz, Theodore S. Z. Woolson, Sandra L. Bosworth, Hayden B. Crowley, Matthew J. Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study |
title | Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study |
title_full | Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study |
title_fullStr | Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study |
title_full_unstemmed | Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study |
title_short | Clinical factors associated with persistently poor diabetes control in the Veterans Health Administration: A nationwide cohort study |
title_sort | clinical factors associated with persistently poor diabetes control in the veterans health administration: a nationwide cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440639/ https://www.ncbi.nlm.nih.gov/pubmed/30925177 http://dx.doi.org/10.1371/journal.pone.0214679 |
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