MedStar Authors catalog › Details for: Access to Care and Diabetes Management Among Older American Indians With Type 2 Diabetes.
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Access to Care and Diabetes Management Among Older American Indians With Type 2 Diabetes.

by Howard, Barbara V.
Citation: Journal of Aging & Health. 29(2):206-221, 2017 Mar.Journal: Journal of aging and health.Published: 2016ISSN: 0898-2643.Full author list: Nicklett EJ; Omidpanah A; Whitener R; Howard BV; Manson SM.UI/PMID: 26944805.Subject(s): Aged | Diabetes Mellitus, Type 2/dt [Drug Therapy] | Diabetes Mellitus, Type 2/th [Therapy] | *Diabetes Mellitus, Type 2 | Female | Health Services Accessibility/ec [Economics] | Health Services Accessibility/sn [Statistics & Numerical Data] | *Health Services Accessibility | Humans | *Indians, North American | Male | Middle Aged | Rural Population | United StatesInstitution(s): MedStar Health Research InstituteActivity type: Journal Article.Medline article type(s): Journal ArticleDigital Object Identifier: https://dx.doi.org/10.1177/0898264316635562 (Click here) Abbreviated citation: J Aging Health. 29(2):206-221, 2017 Mar.Abstract: OBJECTIVE: To examine the relationship between health care access and diabetes management among a geographically diverse sample of American Indians (AIs) aged 50 and older with type 2 diabetes.Abstract: METHOD: We examined the relationship between access to care and diabetes management, as measured by HbA<sub>1c</sub>, using 1998-1999 data from the Strong Heart Family Study. A series of bivariate and multivariate linear models examined the relationships between nine access-related variables and HbA<sub>1c</sub> levels.Abstract: RESULTS: In bivariate analyses, out-of-pocket costs were associated with higher HbA<sub>1c</sub> levels. No other access-related characteristics were significantly associated with diabetes management in bivariate or in multivariate models.Abstract: DISCUSSION: Access-related barriers were not associated with worse diabetes management in multivariate analyses. The study concludes with implications for clinicians working with AI populations to enhance opportunities for diabetes management.Abstract: Copyright (c) The Author(s) 2016.

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