27 research outputs found

    Lower Use of Hospice by Cancer Patients who Live in Minority Versus White Areas

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    BACKGROUND: Although hospice care can alleviate suffering at the end of life for patients with cancer, it remains underutilized, particularly by African Americans and Hispanics. OBJECTIVE: To examine whether the racial composition of the census tract where an individual resides is associated with hospice use. DESIGN: Retrospective analysis of the Surveillance, Epidemiology, and End Results–Medicare file for individuals dying from breast, colorectal, lung, or prostate cancer (n = 70,669). MEASUREMENTS: Hospice use during the 12 months before death. RESULTS: Hospice was most commonly used by individuals who lived in areas with fewer African-American and Hispanic residents (47%), and was least commonly used by individuals who lived in areas with a high percentage of African-American and Hispanic residents (35%). Hispanics (odds ratio 0.51, 95% confidence interval 0.29–0.91) and African Americans (0.56, 0.44–0.71) were less likely to use hospice if they lived in a census tract with a high percentage of both African Americans and Hispanics than if they lived in a low minority tract. African Americans and whites were less likely to receive hospice care if they lived in a census tract with a high percentage of Hispanics than if they lived in a low minority area. CONCLUSIONS: Increasing hospice use may require interventions to improve the delivery of hospice care in minority communities

    Changes in Health Status Experienced by Women with Gestational Diabetes and Pregnancy-Induced Hypertensive Disorders

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    Objective: To examine changes in health status among women with gestational diabetes mellitus (GDM) and pregnancy-induced hypertension (PIH). Methods: We examined perceived health status changes from the prepregnancy, as recalled at 12–20 weeks gestation, to the postpartum period in women with GDM (n = 64) vs. unaffected gravidas (n = 1233) and women diagnosed with PIH (n = 148) vs. unaffected gravidas. We used patient survey and medical record data from a prospective cohort study. Health status measures included the Short Form-36 scales for physical function, vitality, and self-rated health and the Center for Epidemiologic Studies-Depression Scale (CES-D). Multivariate logistic regression models controlled for age, parity, race, education, prepregnancy body mass index (BMI) and exercise levels, food insufficiency, and GDM or PIH during a prior pregnancy. Results: Women with PIH more often reported a significant decline in vitality (odds ratio [OR] 1.51, 95% confidence interval [CI] 1.02-2.23) and self-rated health (OR 2.12, 95% CI 1.19- 3.77) and an increase in depressive symptoms from prepregnancy to postpartum compared with unaffected women (OR 1.84, 95% CI 1.11-3.05). Decline in self-rated health was partially mediated by cesarean birth and preterm delivery. Similar proportions of women with GDM and unaffected women reported declines in health status measures. Conclusions: Women with PIH, but not GDM, more often experience significant declines in health status from prepregnancy to postpartum than unaffected women.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63346/1/jwh.2005.14.729.pd

    Accuracy of self-perceived risk for common conditions

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    Background: Accurate awareness of common disease risk is necessary to promote healthy lifestyles and to prevent unnecessary anxiety and evaluation. Our objective is to identify characteristics of patients who do not accurately perceive their risk of developing coronary heart disease (CHD), diabetes (DM), breast cancer (BC) and colorectal cancer (CRC). Methods: Using personalized disease risk reports and risk perception surveys, subjects (n = 4703) were classified as high or low/average risk and high or low/average perceived risk for each condition. Models were used to examine factors associated with risk under-estimation by high risk patients and risk over-estimation by low/average risk patients. Results: Patients at high risk for DM, BC and CRC often (60–75% of the time) under-estimated their risk, while low/average risk patients overestimated their risk 13–40% of the time. For CHD, under-estimation by high risk individuals approximated over-estimation by low/average individuals. Compared to normal weight patients at high risk for cancer, obese patients were more likely to under-estimate their risk for BC (OR 3.1, CI 1.9–5.0) and CRC (2.6, 1.5–4.5) as were overweight patients. Overweight and obese patients at low/average risk of DM or CHD were more likely than normal weight patients to over-estimate their risk. Low/average risk women were more likely than men to over-estimate their risk of DM (1.3, 1.1–1.5) and CHD (1.8, 1.5–2.1). Conclusions: Our data show that body mass index is the factor most consistently associated with incorrect risk perceptions for several common conditions
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