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OBJECTIVE To compare diabetes care and outcomes among Haitians, African Americans, and non-Hispanic whites. RESEARCH DESIGN AND METHODS We analyzed data from 715 Haitian, 1,472 African American, and 466 non-Hispanic white adults with diabetes using χ2 testing and multiple logistic regression. RESULTS Haitians had a higher mean A1C than African Americans (8.2 ± 1.9 vs. 7.7 ± 2.0%) and non-Hispanic whites (7.5 ± 1.7%) (both P < 0.0001). There was no difference in completion of process measures. Haitians were more likely than non-Hispanic whites to have elevated LDL cholesterol or blood pressure. Macrovascular complications were fewer among Haitians than African Americans (adjusted odds ratio 0.35 [95% CI 0.23–0.55]), as were microvascular complications (0.56 [0.41–0.76]). Haitians also had fewer macrovascular (0.32 [0.20–0.50]) and microvascular (0.55 [0.39–0.79]) complications than non-Hispanic whites. CONCLUSIONS Haitians have worse glycemic control than African Americans or non-Hispanic whites. Future research and interventions to improve diabetes care should target Haitians as a distinct racial/ethnic group.

With the increases in complexity of care for breast health concerns, there is a growing need for efficient and effective clinical evaluation, especially for vulnerable populations at risk for poor outcomes. The Breast Health Center at Boston Medical Center is a multidisciplinary program, with internists providing care alongside breast surgeons, radiologists, and patient navigators. Using a triage system previously shown to have high provider and patient satisfaction, and the ability to provide timely care, patients are assigned to either a breast surgeon or internist. From 2007 to 2009, internists cared for 2,408 women, representing half of all referrals. Women served were diverse in terms of race (33% black, 30% Hispanic, 5% Asian), language (34% require language interpreter), and insurance status (51% had no insurance or public insurance). Most presented with an abnormal screen (breast examination 54% or imaging 4%) while the remainder were seen for symptoms such as pain (26%), non-bloody nipple discharge (4%), or risk assessment (7%). A majority of final diagnoses were made through clinical evaluation alone (n = 1,760, 73%), without the need for additional diagnostic imaging or tissue sampling; 9% (n = 214) received a benign diagnosis with the aid of breast imaging; 19% (n = 463) required tissue sampling. Only 4% went on to see a breast surgeon. Internists diagnosed 15 incident cancers with a median time to diagnosis of 19 days. Patient and provider satisfaction was high. These data suggest that a group of appropriately trained internists can provide quality breast care to a vulnerable population in a multidisciplinary setting. Replication of this model requires the availability of more clinical training programs for non-surgical providers.

Heart disease is the leading cause of death for women in the United States. Research has identified that women are less likely than men to receive medical interventions for the prevention and treatment of heart disease.As part of a campaign to educate healthcare professionals, 1245 healthcare professionals in 11 states attended a structured 1-hour continuing medical education (CME) program based on the 2004 AHA Evidence-Based Guidelines for Cardiovascular Disease Prevention in Women and completed a pretest and posttest evaluation. We identified significant knowledge deficits in the pretest: 45% of attendees would initially recommend lifestyle changes alone, rather than statin therapy, for women diagnosed with coronary artery disease (CAD); 38% identified statin therapy as less effective in women compared with men for preventing CAD events; 27% identified Asian American women at low risk (rather than high risk) for type 2 diabetes mellitus (DM); and 21% identified processed meat (rather than baked goods) as the principal dietary source of trans fatty acids. Overall, healthcare professionals answered 5.1 of 8 knowledge questions correctly in the pretest, improving to 6.8 questions in the posttest (p0.001). Family physicians, obstetrician/gynecologists, general internists, nurse practitioners/physician assistants, and registered nurses all statistically significantly improved knowledge and self-assessed skills and attitudes as measured by the posttest.Significant knowledge deficits are apparent in a cross-section of healthcare providers attending a CME lecture on women and heart disease. A 1-hour presentation was successful in improving knowledge and self-assessed skills and attitudes among primary care physicians, nurse practitioners, physician assistants, and registered nurses.

OBJECTIVES: The goal of this study was to compare mammography use in Haitian women versus that of other racial/ethnic groups in the same neighborhoods and to identify factors associated with mammography use in subpopulations that are seldom studied. METHODS: A community-based, cross-sectional survey sampled a multiethnic group of inner-city women from eastern Massachusetts. Bivariate analyses and logistic regression models were used to predict lifetime and recent (within two years) mammography screening. RESULTS: Self-reported lifetime mammography use was similar for Haitian (82%), African-American (78%), Caribbean (81%) and Latina women (86%) but higher for white women (94%, p = 0.008). Mammography use in the past two years was also similar in all groups (66-82%, p = 0.41). In multivariate models, African-American (adjusted odds ratio [AOR]; 0.3; 95% CI 0.1-0.9) and Haitian women (AOR 0.3; 95% CI 0.1-0.9) had lower odds of lifetime mammography compared to white women. Factors independently related to lifetime and recent mammography included having a regular healthcare provider, greater knowledge of breast cancer screening; higher education, and private health insurance. CONCLUSIONS: Haitian women with a regular provider and knowledge of breast cancer screening reported recent mammography use similar to women from other racial/ethnic groups. The racial/ethnic patterns of mammography use in our study do not explain racial/ethnic differences in breast cancer stage or mortality.