Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Furlow-Parmley C[original query] |
---|
HIV infection - United States, 2008 and 2010
Johnson AS , Beer L , Sionean C , Hu X , Furlow-Parmley C , Le B , Skarbinski J , Hall HI , Dean HD . MMWR Suppl 2013 62 (3) 112-9 At the end of 2009, approximately 1.1 million persons in the United States were living with human immunodeficiency virus (HIV) infection, with approximately 50,000 new infections annually. The prevalence of HIV continues to be greatest among gay, bisexual, and other men who have sex with men (MSM), who comprised approximately half of all persons with new infections in 2009. Disparities also exist among racial/ethnic minority populations, with blacks/African Americans and Hispanics/Latinos accounting for approximately half of all new infections and deaths among persons who received an HIV diagnosis in 2009. Improving survival of persons with HIV and reducing transmission involve a continuum of services that includes diagnosis, linkage to and retention in HIV medical care, and ongoing HIV prevention interventions. |
Differences in human immunodeficiency virus care and treatment among subpopulations in the United States
Hall HI , Frazier EL , Rhodes P , Holtgrave DR , Furlow-Parmley C , Tang T , Gray KM , Cohen SM , Mermin J , Skarbinski J . JAMA Intern Med 2013 173 (14) 1337-44 IMPORTANCE Early diagnosis of human immunodeficiency virus (HIV) infection, prompt linkage to and sustained care, and antiretroviral therapy are associated with reduced individual morbidity, mortality, and transmission of the virus. However, levels of these indicators may differ among population groups with HIV. Disparities in care and treatment may contribute to the higher incidence rates among groups with higher prevalence of HIV. OBJECTIVE To examine differences between groups of persons living with HIV by sex, age, race/ethnicity, and transmission category at essential steps in the continuum of care. DESIGN AND SETTING We obtained data from the National HIV Surveillance System of the Centers for Disease Control and Prevention to determine the number of persons living with HIV who are aware and unaware of their infection using back-calculation models. We calculated the percentage of persons linked to care within 3 months of diagnosis on the basis of CD4 level and viral load test results. We estimated the percentages of persons retained in care, prescribed antiretroviral therapy, and with viral suppression using data from the Medical Monitoring Project, a surveillance system of persons receiving HIV care in select areas representative of all such persons in the United States. PARTICIPANTS All HIV-infected persons in the United States. MAIN OUTCOMES AND MEASURES Percentage of persons living with HIV who are aware of their infection, linked to care, retained in care, receiving antiretroviral therapy, and achieving viral suppression. RESULTS Of the estimated 1 148 200 persons living with HIV in 2009 in the United States, 81.9% had been diagnosed, 65.8% were linked to care, 36.7% were retained in care, 32.7% were prescribed antiretroviral therapy, and 25.3% had a suppressed viral load (≤200 copies/mL). Overall, 857 276 persons with HIV had not achieved viral suppression, including 74.8% of male, 79.0% of black, 73.9% of Hispanic/Latino, and 70.3% of white persons. The percentage of blacks in each step of the continuum was lower than that for whites, but these differences were not statistically significant. Among persons with HIV who were 13 to 24 years of age, only 40.5% had received a diagnosis and 30.6% were linked to care. Persons aged 25 to 34, 35 to 44, and 45 to 54 years were all significantly less likely to achieve viral suppression than were persons aged 55 to 64 years. CONCLUSIONS AND RELEVANCE Significant age disparities exist at each step of the continuum of care. Additional efforts are needed to ensure that all persons with HIV receive a diagnosis and optimal care to reduce morbidity, mortality, disparities in care and treatment, and ultimately HIV transmission. Ensuring that people stay in care and receive treatment will increase the proportion of HIV-infected individuals who achieve and maintain a suppressed viral load. |
Combining estimates from two surveys: an example from monitoring 2009 influenza A (H1N1) pandemic vaccination
Furlow-Parmley C , Singleton JA , Bardenheier B , Bryan L . Stat Med 2012 31 (27) 3285-94 During the 2009 influenza A (H1N1) pandemic, there was an ongoing need to monitor 2009 H1N1 vaccination coverage at the national and state level to evaluate the vaccination campaign; thus, precise vaccination coverage estimates were needed in a timely fashion. The current objective is to describe and evaluate the methodology used to combine 2009 H1N1 vaccination coverage estimates from the Behavioral Risk Factor Surveillance System (BRFSS) and the National 2009 H1N1 Flu Survey (NHFS). H1N1 state level vaccination coverage estimates were combined by taking weighted averages of the BRFSS and NHFS estimates, with more weight given to the estimate with the larger effective sample size (sample size/design effect). The impact of the choice of weights was evaluated by comparing estimates when the design effect was removed from the weights. Combined vaccination coverage estimates for children generally fell midway between NHFS and BRFSS estimates because of larger NHFS sample sizes but smaller BRFSS design effects. Adult estimates were more closely weighted to BRFSS estimates because of larger BRFSS sample sizes. Combined standard errors were smaller than the survey-specific standard errors. When removing the design effect from the weights, the child combined estimates were more closely weighted to those from NHFS, resulting in larger standard errors. Adult combined estimates were similar regardless of choice of weight because of similar design effects across the two surveys. Combining estimates by weighting by the effective sample size allowed timely release of more precise estimates in all states during the 2009 H1N1 pandemic. (Copyright (c) 2012 John Wiley & Sons, Ltd.) |
- Page last reviewed:Feb 1, 2024
- Page last updated:May 06, 2024
- Content source:
- Powered by CDC PHGKB Infrastructure