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    WOMEN'S HEALTH USA 2011

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    HRSA is pleased to present Women’s Health USA 2011, the tenth edition of the Women’s Health USA data book. To reflect the ever-changing, increasingly diverse population and its characteristics, Women’s Health USA selectively highlights emerging issues and trends in women’s health. Data and information on second-hand tobacco smoke exposure, preconception health, oral health care, and barriers to health care are a few of the new topics included in this edition. In addition, new special population features present data on the health of lesbian and bisexual women, as well as the indigenous populations of American Indian and Alaska Native women and Native Hawaiian and other Pacific Islander women. Disparities by sex, race and ethnicity, and socioeconomic factors, including education and income, are highlighted throughout the document where possible. Where race and ethnicity data are reported, groups are mutually exclusive (i.e., non-Hispanic race groups and the Hispanic ethnic group) except in a few cases where the original data are not presented separately. Throughout the data book, those categorized as being of Hispanic ethnicity may be of any race or combination of races. In some instances, it was not possible to provide data for all races due to the design of the original data source or the size of the sample population; therefore, estimates with a relative standard error of 30 percent or greater were considered unreliable and were not reported

    Final Data Collection Standards for Race, Ethnicity, Primary Language, Sex, and Disability Status Required by Section 4302 of the Affordable Care Act

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    HHS on Oct. 31, 2011, published final standards for data collection on race, ethnicity, sex, primary language and disability status, as required by Section 4302 of the Affordable Care Act [PDF | 1.6 MB]. The law requires that data collection standards for these measures be used, to the extent practicable, in all national population health surveys. They will apply to self-reported information only. The law also requires any data standards published by HHS comply with standards created by the Office of Management and Budget (OMB). Proposed standards were published on June 29, 2011, and public comments were accepted until August 1, 2011. The standards, effective upon publication today, apply to population health surveys sponsored by HHS, where respondents either self-report information or a knowledgeable person responds for all members of a household. HHS will begin implementation of these new data standards in all new surveys and at the time of major revisions to current surveys

    Latino Health Institute Hopes to Accomplish Multiple Missions

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    The Latino Health Institute of New Jersey was founded this fall. One of its many missions: document the disparities between the healthcare of the state's 1.5 million Latinos and that of its overall population. Funded by a $190,000 federal grant to the Latino Leadership Alliance of New Jersey, the institute will explore the relatively high incidence of chronic ailments like heart disease, obesity and diabetes among Latinos, according to Martin Perez, president of the alliance. The institute also will investigate the limited options for Latinos to adopt healthy lifestyles due to a lack of fresh fruits and vegetables and opportunities

    At black Phila. barbershop, a trim and a health checkup

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    Sheriff Akinleye bends low over a customer in the barbershop, his eyes intently following the movements on a little dial, and a stethoscope in his ears. Then he straightens up. "All right. I get 136 over 82. Which is a little high. Normal is less than 120 over 80. You have prehypertension," he tells Phillip Griffin, 42, who has heard this before - though perhaps not in this much detail. The 26-year-old medical student explains how high blood pressure works, each organ that it affects, its links to exercise, fried food, salt. Griffin says he plans to lose weight

    From Controlled Trial to Community Adoption: The Multisite Translational Community Trial

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    Methods for translating the findings of controlled trials, such as the Diabetes Prevention Program, into real-world community application have not been clearly defined. A standardized research methodology for making and evaluating such a transition is needed. We introduce the multisite translational community trial (mTCT) as the research analog to the multisite randomized controlled trial. The mTCT is adapted to incorporate the principles and practices of community based participatory research and the increased relevance and generalizability gained from diverse community settings. The mTCT is a tool designed to bridge the gap between what a clinical trial demonstrates can work in principle and what is needed to make it workable and effective in real-world settings. Its utility could be put to the test, in particular with practice-based research networks such as the Prevention Research Centers. (Am J Public Health. Published online ahead of print June 16, 2011: e1-e11. doi:10.2105 AJPH.2010.300104)

    Auditing Access to Specialty Care for Children with Public Insurance

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    Background Health care reform has expanded eligibility to public insurance without fully addressing concerns about access. We measured children’s access to outpatient specialty care to identify disparities in providers’ acceptance of Medicaid and the Children’s Health Insurance Program (CHIP) versus private insurance. Methods Between January and May 2010, research assistants called a stratified, random sample of clinics representing eight specialties in Cook County, Illinois, which has a high proportion of specialists. Callers posed as mothers of pediatric patients with common health conditions requiring outpatient specialty care. Two calls, separated by 1 month, were placed to each clinic by the same person with the use of a standardized clinical script that differed by insurance status. Results We completed 546 paired calls to 273 specialty clinics and found significant disparities in provider acceptance of Medicaid–CHIP versus private insurance across all tested specialties. Overall, 66% of Medicaid–CHIP callers (179 of 273) were denied an appointment as compared with 11% of privately insured callers (29 of 273) (relative risk, 6.2; 95% confidence interval [CI], 4.3 to 8.8; P<0.001). Among 89 clinics that accepted both insurance types, the average wait time for Medicaid–CHIP enrollees was 22 days longer than that for privately insured children (95% CI, 6.8 to 37.5; P = 0.005). Conclusions We found a disparity in access to outpatient specialty care between children with public insurance and those with private insurance. Policy interventions that encourage providers to accept patients with public insurance are needed to improve access to care

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