5,656 research outputs found

    NEPA Requirements for Private Projects

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    Health System Performance for the High-Need Patient: A Look at Access to Care and Patient Care Experiences

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    Achieving a high-performing health system will require improving outcomes and reducing costs for high-need, high-cost patientsā€”those who use the most health care services and account for a disproportionately large share of health care spending. Goal: To compare the health care experiences of adults with high needsā€”those with three or more chronic diseases and a functional limitation in the ability to care for themselves or perform routine daily tasksā€”to all adults and to those with multiple chronic diseases but no functional limitations. Methods: Analysis of data from the 2009ā€“2011 Medical Expenditure Panel Survey. Key findings: High-need adults were more likely to report having an unmet medical need and less likely to report having good patientā€“provider communication. High-need adults reported roughly similar ease of obtaining specialist referrals as other adults and greater likelihood of having a medical home. While adults with private health insurance reported the fewest unmet needs overall, privately insured highneed adults reported the greatest difficulties having their needs met. Conclusion: The health care system needs to work better for the highest-need, most-complex patients. This study's findings highlight the importance of tailoring interventions to address their need

    Pregnancy and contraceptive use among women participating in an HIV prevention trial in Tanzania.

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    OBJECTIVES: Information on pregnancy rates and factors associated with pregnancy and contraceptive use is important for clinical trials in women in sub-Saharan Africa where withdrawal of investigational products may be required in the event of pregnancy with a consequent effect on sample size and trial power. METHODS: A prospective cohort analysis of pregnancy and contraceptive use was conducted in Tanzanian women enrolled in a randomised placebo-controlled trial of herpes simplex virus-suppressive therapy with acyclovir to measure the effect on HIV incidence in HIV-negative women and on genital and plasma HIV viral load in HIV-positive women. The cohort was followed every 3 months for 12-30 months. Women at each visit were categorised into users or non-users of contraception. Pregnancy rates and factors associated with pregnancy incidence and contraceptive use were measured. RESULTS: Overall 254 of 1305 enrolled women became pregnant at least once during follow-up (pregnancy rate: 12.0/100 person-years). Younger age, being unmarried, higher baseline parity and changes in contraceptive method during follow-up were independently associated with pregnancy. Having paid sex and being HIV positive were associated with lower risk of pregnancy. Uptake of contraception was associated with young age, being unmarried, occupation, parity and the number and type of sexual partners. CONCLUSIONS: Data on use of contraceptive methods and risk factors for pregnancy can help to guide decisions on trial eligibility and the need for additional counselling. Mandatory reliable contraceptive use in study participants may be required to reduce pregnancy rates in studies where pregnancy is contraindicated

    Distribution of Fish Species in Cedar Lake

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    With over 13,000 described species of freshwater fishes, diversity within aquatic systems can vary extensively. At the local scale small changes in the diversity of fish species within an ecosystem will modify processes within the ecosystem such as community decomposition and metabolism. Recent analyses indicate that actual species diversity within small, shallow ponds may be higher than previously thought. Fish species distribution will differ based on location within the aquatic system relative to the speciesā€™ position in the trophic web. We will measure both quantitative and qualitative differences among species at different locations within of Cedar Lake, expecting to find a decrease in both species diversity and total number of fish as the depth increases. We will count the number of fish species and the total number of fish at each depth and use t-test analysis to determine if depth influences fish diversity
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