Publications by authors named "Elizabeth A Bertran"

Article Synopsis
  • - The study aimed to understand healthcare providers' views on the cultural challenges and supports affecting diabetes self-management (DSM) in the Arab American community.
  • - Key barriers identified included the disease's stigma and patients’ denial of their condition, while cultural factors both helped and hindered effective DSM.
  • - To improve DSM education for Arab Americans, it should be tailored to align with the cultural factors highlighted by providers.
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Background: Arab Americans have a high burden of diabetes and poor outcomes compared to the general U.S.

Population: Diabetes self-management (DSM) requires a partnership between patients and providers that fosters mutual understanding and shared decision-making.

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Aims: Culturally-specific lifestyle diabetes prevention programs require an assessment of population disease perceptions and cultural influences on health beliefs and behaviors. The primary objectives were to assess Arab Americans' knowledge and perceptions of diabetes and their preferences for a lifestyle intervention.

Methods: Sixty-nine self-identified Arab or Arab Americans ≥30 years of age and without diabetes participated in 8 focus groups.

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Purpose: The purpose of this study was to better understand barriers and facilitators of diabetes self-management education (DSME) among Arab American patients with diabetes. Little is known about the impact of Arab culture on DSME.

Methods: Arab American adults (N = 23) with medically managed diabetes participated in 1 of 3 focus groups.

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Data comparing the patient characteristics, management and outcomes for dabigatran versus warfarin major bleeding in the practice setting are limited. We performed a retrospective single health system study of atrial fibrillation patients with dabigatran or warfarin major bleeding from October 2010 through September 2012. Patient identification occurred through both an internal adverse event reporting system and a structured stepwise data filtering approach using the International Classification of Diseases diagnosis codes.

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