Literature DB >> 16641662

Racial/ethnic differences in diabetes care for older veterans: accounting for dual health system use changes conclusions.

Jewell H Halanych1, Fei Wang, Donald R Miller, Leonard M Pogach, Hai Lin, Dan R Berlowitz, Susan M Frayne.   

Abstract

BACKGROUND: Veterans Health Administration (VHA) databases are used extensively to study racial/ethnic disparities; however, these databases may not capture all care received by VHA patients.
OBJECTIVES: We examined the extent to which accounting for non-VHA care changed conclusions about racial/ethnic disparities for VHA patients with diabetes.
METHODS: Using a cross-sectional observational study, we analyzed a national sample of noninstitutionalized Hispanic (n = 5931), black (n = 24,670), and white (n = 149,222) VHA patients with diabetes who were at least 65 years of age for receipt of annual HbA1c testing, low-density lipoprotein (LDL) cholesterol testing, or eye examination from VHA and Medicare administrative files.
RESULTS: In VHA alone data, adjusting for patient characteristics, Hispanic and black patients were as likely as white patients to receive HbA1c testing (odds ratio 1.06 [95% confidence interval 0.99-1.13] and 1.04 [1.00-1.07], respectively), and more likely to receive eye examinations (1.31 [1.24-1.38] and 1.33 [1.29-1.37], respectively). Hispanic patients were equally likely (1.01 [0.95-1.07]) and black patients were less likely (0.81 [0.79-0.84]) to receive LDL testing versus white patients. In VHA plus Medicare data, Hispanic and black patients were less likely than white patients to receive HbA1c (0.76 [0.71-0.82] and 0.83 [0.80-0.87], respectively) and LDL testing (0.84 [0.79-0.90] and 0.70 [0.68-0.72], respectively), and equally likely to receive eye examinations (0.91 [0.86-0.96]) and 0.98 [0.95-1.01]), respectively). Accounting for VHA facility had little effect on results.
CONCLUSIONS: Restricting to VHA data masks racial/ethnic disparities in care of VHA patients. VHA researchers must be aware and supplement VHA data with other sources whenever possible.

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Year:  2006        PMID: 16641662     DOI: 10.1097/01.mlr.0000207433.70159.23

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  23 in total

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Journal:  J Gen Intern Med       Date:  2007-06-27       Impact factor: 5.128

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Authors:  Carolyn T Thorpe; Joshua M Thorpe; Amy J H Kind; Christie M Bartels; Christine M Everett; Maureen A Smith
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5.  Lipid testing in patients with rheumatoid arthritis and key cardiovascular-related comorbidities: a medicare analysis.

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6.  Characteristics and Incidence of Chronic Illness in Community-Dwelling Predominantly Male U.S. Veteran Centenarians.

Authors:  Raya Elfadel Kheirbek; Ali Fokar; Nawar Shara; Leakie K Bell-Wilson; Hans J Moore; Edwin Olsen; Marc R Blackman; Maria D Llorente
Journal:  J Am Geriatr Soc       Date:  2017-04-19       Impact factor: 5.562

7.  Racial and ethnic differences in longitudinal blood pressure control in veterans with type 2 diabetes mellitus.

Authors:  R Neal Axon; Mulugeta Gebregziabher; Carrae Echols; Gregory Gilbert Msph; Leonard E Egede
Journal:  J Gen Intern Med       Date:  2011-06-14       Impact factor: 5.128

8.  Selection of Higher Risk Pregnancies into Veterans Health Administration Programs: Discoveries from Linked Department of Veterans Affairs and California Birth Data.

Authors:  Jonathan G Shaw; Vilija R Joyce; Susan K Schmitt; Susan M Frayne; Kate A Shaw; Beate Danielsen; Rachel Kimerling; Steven M Asch; Ciaran S Phibbs
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9.  Effect of patient selection method on provider group performance estimates.

Authors:  Carolyn T Thorpe; Grace E Flood; Sally A Kraft; Christine M Everett; Maureen A Smith
Journal:  Med Care       Date:  2011-08       Impact factor: 2.983

10.  Longitudinal approaches to evaluate health care quality and outcomes: the Veterans Health Administration diabetes epidemiology cohorts.

Authors:  Donald R Miller; Leonard Pogach
Journal:  J Diabetes Sci Technol       Date:  2008-01
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