Literature DB >> 17877312

Differences among U.S. states in estimating the number of people living with HIV/AIDS: impact on allocation of federal Ryan White funding.

Denis Nash1, Evie Andreopoulos, Deborah Horowitz, Nancy Sohler, David Vlahov.   

Abstract

OBJECTIVE: We assessed the impact of differing laboratory reporting scenarios on the completeness of estimates of people living with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) (PLWHA) in the U.S., which are used to guide allocation of federal Ryan White funds.
METHODS: We conducted a four-year simulation study using clinical and laboratory data on 1,337 HIV-positive women, including 477 (36%) who did not have AIDS at baseline. We estimated the completeness of HIV (non-AIDS) case ascertainment for three laboratory reporting scenarios: CD4 < 200 cells/microL and detectable viral load (Scenario A); CD4 < 500 cells/microL and no viral load reporting (Scenario B); and CD4 < 500 cells/microL and detectable viral load (Scenario C).
RESULTS: Each scenario resulted in an increasing proportion of HIV (non-AIDS) cases being ascertained over time, with Scenario C yielding the highest by Year 4 (Year 1: 69.0%, Year 4: 88.1%), followed by Scenario A (Year 1: 63.3%, Year 4: 84.5%), and Scenario B (Year 1: 43.0%, Year 4: 67.7%). Overall completeness of PLWHA ascertainment after four years was highest for Scenario C (95.8%), followed by Scenario A (94.5%), and Scenario B (88.5%).
CONCLUSIONS: Differences in laboratory reporting regulations lead to substantial variations in the completeness of PLWHA estimates, and may penalize jurisdictions that are most successful at treating HIV/AIDS patients or those with weak or incomplete HIV/AIDS surveillance systems.

Entities:  

Mesh:

Year:  2007        PMID: 17877312      PMCID: PMC1936968          DOI: 10.1177/003335490712200512

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  15 in total

1.  Mandatory reporting of diseases and conditions by health care professionals and laboratories.

Authors:  S Roush; G Birkhead; D Koo; A Cobb; D Fleming
Journal:  JAMA       Date:  1999-07-14       Impact factor: 56.272

2.  An evaluation of the patient code number for HIV case reporting.

Authors:  Stephanie M Borchardt; André W Rawls; Nanette Benbow; Mark S Dworkin
Journal:  Public Health Rep       Date:  2006 Jul-Aug       Impact factor: 2.792

3.  Improved survival among HIV-infected individuals following initiation of antiretroviral therapy.

Authors:  R S Hogg; K V Heath; B Yip; K J Craib; M V O'Shaughnessy; M T Schechter; J S Montaner
Journal:  JAMA       Date:  1998-02-11       Impact factor: 56.272

4.  Accuracy of self-reports of acquired immunodeficiency syndrome and acquired immunodeficiency syndrome-related conditions in women.

Authors:  N A Hessol; S Schwarcz; N Ameli; G Oliver; R M Greenblatt
Journal:  Am J Epidemiol       Date:  2001-06-01       Impact factor: 4.897

5.  Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators.

Authors:  F J Palella; K M Delaney; A C Moorman; M O Loveless; J Fuhrer; G A Satten; D J Aschman; S D Holmberg
Journal:  N Engl J Med       Date:  1998-03-26       Impact factor: 91.245

6.  Guidelines for laboratory test result reporting of human immunodeficiency virus type 1 ribonucleic acid determination. Recommendations from a CDC working group. Centers for Disease Control.

Authors: 
Journal:  MMWR Recomm Rep       Date:  2001-11-16

7.  The status of national HIV case surveillance, United States 2006.

Authors:  M Kathleen Glynn; Lisa M Lee; Matthew T McKenna
Journal:  Public Health Rep       Date:  2007       Impact factor: 2.792

Review 8.  Completeness of notifiable infectious disease reporting in the United States: an analytical literature review.

Authors:  Timothy J Doyle; M Kathleen Glynn; Samuel L Groseclose
Journal:  Am J Epidemiol       Date:  2002-05-01       Impact factor: 4.897

9.  Trends in predictors of death due to HIV-related causes among persons living with AIDS in New York City: 1993-2001.

Authors:  Denis Nash; Monica Katyal; Sarita Shah
Journal:  J Urban Health       Date:  2005-10-19       Impact factor: 3.671

10.  Effectiveness of potent antiretroviral therapy on time to AIDS and death in men with known HIV infection duration. Multicenter AIDS Cohort Study Investigators.

Authors:  R Detels; A Muñoz; G McFarlane; L A Kingsley; J B Margolick; J Giorgi; L K Schrager; J P Phair
Journal:  JAMA       Date:  1998-11-04       Impact factor: 56.272

View more
  1 in total

1.  Measuring the HIV Care Continuum Using Public Health Surveillance Data in the United States.

Authors:  Catherine R Lesko; Lynne A Sampson; William C Miller; Jacquelyn Clymore; Peter A Leone; Heidi Swygard; Kimberly A Powers
Journal:  J Acquir Immune Defic Syndr       Date:  2015-12-15       Impact factor: 3.731

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.