Literature DB >> 18551099

Electronic record linkage to identify deaths among persons with AIDS--District of Columbia, 2000-2005.

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Abstract

An estimated 1 million persons in the United States are living with human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS); approximately 500,000 persons with AIDS have died since 1981. In 2005, the District of Columbia (DC) had an estimated adult AIDS prevalence rate of 2%, one of the highest AIDS prevalence rates in the United States. Accurate death ascertainment is an important part of HIV/AIDS surveillance. Manual methods can substantially underestimate deaths by missing death certificates that do not mention HIV infection or deaths of residents that occur in other states. CDC and the Council of State and Territorial Epidemiologists (CSTE) recommend performing electronic record linkages to ascertain deaths annually as part of routine HIV/AIDS surveillance activities. In 2007, to identify all deaths that occurred during 2000-2005 among persons with AIDS who resided or received their diagnosis in DC, the HIV/AIDS Administration of the DC Department of Health, with assistance from CDC, performed an electronic record linkage. This report summarizes the results of that linkage, which determined that 54% of deaths among persons with AIDS had not been reported previously to the DC HIV/AIDS Reporting System (HARS). The results indicated that electronic record linkage for death ascertainment is necessary to more accurately estimate the prevalence of persons living with HIV/AIDS.

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Year:  2008        PMID: 18551099

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


  7 in total

1.  Estimating the extent of underreporting of mortality among HIV-infected individuals in Rio de Janeiro, Brazil.

Authors:  Antonio G Pacheco; Valeria Saraceni; Suely H Tuboi; Lilian M Lauria; Lawrence H Moulton; José Cláudio Faulhaber; Bonnie King; Jonathan E Golub; Betina Durovni; Solange Cavalcante; Lee H Harrison; Richard E Chaisson; Mauro Schechter
Journal:  AIDS Res Hum Retroviruses       Date:  2010-10-07       Impact factor: 2.205

2.  Heterogeneity in outcomes of treated HIV-positive patients in Europe and North America: relation with patient and cohort characteristics.

Authors:  Margaret T May; Robert S Hogg; Amy C Justice; Bryan E Shepherd; Dominique Costagliola; Bruno Ledergerber; Rodolphe Thiébaut; M John Gill; Ole Kirk; Ard van Sighem; Michael S Saag; Gemma Navarro; Paz Sobrino-Vegas; Fiona Lampe; Suzanne Ingle; Jodie L Guest; Heidi M Crane; Antonella D'Arminio Monforte; Jörg J Vehreschild; Jonathan A C Sterne
Journal:  Int J Epidemiol       Date:  2012-11-12       Impact factor: 7.196

3.  Loss to follow-up in the Australian HIV Observational Database.

Authors:  Hamish McManus; Kathy Petoumenos; Katherine Brown; David Baker; Darren Russell; Tim Read; Don Smith; Lynne Wray; Michelle Giles; Jennifer Hoy; Andrew Carr; Matthew G Law
Journal:  Antivir Ther       Date:  2014-11-07

4.  Utility of the National Death Index in ascertaining mortality in acquired immunodeficiency syndrome surveillance.

Authors:  Mary Jo Trepka; Lorene M Maddox; Spencer Lieb; Theophile Niyonsenga
Journal:  Am J Epidemiol       Date:  2011-05-03       Impact factor: 4.897

5.  Cancer as a cause of death among people with AIDS in the United States.

Authors:  Edgar P Simard; Eric A Engels
Journal:  Clin Infect Dis       Date:  2010-10-15       Impact factor: 9.079

6.  Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program.

Authors:  Christopher G Au-Yeung; Aranka Anema; Keith Chan; Benita Yip; Julio S G Montaner; Robert S Hogg
Journal:  BMC Public Health       Date:  2010-10-25       Impact factor: 3.295

7.  Comparing the National Death Index and the Social Security Administration's Death Master File to ascertain death in HIV surveillance.

Authors:  David B Hanna; Melissa R Pfeiffer; Judith E Sackoff; Richard M Selik; Elizabeth M Begier; Lucia V Torian
Journal:  Public Health Rep       Date:  2009 Nov-Dec       Impact factor: 2.792

  7 in total

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