title: Evaluating the InterVA model for determining AIDS mortality from verbal autopsies in the adult population of Addis Ababa.
abstract: OBJECTIVE
  To evaluate the performance of a verbal autopsy (VA) expert algorithm (the InterVA model) for diagnosing AIDS mortality against a reference standard from hospital records that include HIV serostatus information in Addis Ababa, Ethiopia.
  
  
  METHODS
  Verbal autopsies were conducted for 193 individuals who visited a hospital under surveillance during terminal illness. Decedent admission diagnosis and HIV serostatus information are used to construct two reference standards (AIDS vs. other causes of death and TB/AIDS vs. other causes). The InterVA model is used to interpret the VA interviews; and the sensitivity, specificity and cause-specific mortality fractions are calculated as indicators of the diagnostic accuracy of the InterVA model.
  
  
  RESULTS
  The sensitivity and specificity of the InterVA model for diagnosing AIDS are 0.82 (95% CI: 0.74-0.89) and 0.76 (95% CI: 0.64-0.86), respectively. The sensitivity and specificity for TB/AIDS are 0.91 (95% CI: 0.85-0.96) and 0.78 (95% CI: 0.63-0.89), respectively. The AIDS-specific mortality fraction estimated by the model is 61.7% (95% CI: 54-69%), which is close to 64.7% (95% CI: 57-72%) in the reference standard. The TB/AIDS mortality fraction estimated by the model is 73.6% (95% CI: 67-80%), compared to 74.1% (95% CI: 68-81%) in the reference standard.
  
  
  CONCLUSIONS
  The InterVA model is an easy to use and cheap alternative to physician review for assessing AIDS mortality in populations without vital registration and medical certification of causes of death. The model seems to perform better when TB and AIDS are combined, but the sample is too small to statistically confirm that.
authors.affiliation: Addis Ababa Mortality Surveillance Project, Faculty of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
authors.forename: Biruk
authors.initials: B
authors.lastname: Tensou
authors.forename: Tekebash
authors.initials: T
authors.lastname: Araya
authors.forename: Daniel S
authors.initials: DS
authors.lastname: Telake
authors.forename: Peter
authors.initials: P
authors.lastname: Byass
authors.forename: Yemane
authors.initials: Y
authors.lastname: Berhane
authors.forename: Tolcha
authors.initials: T
authors.lastname: Kebebew
authors.forename: Eduard J
authors.initials: EJ
authors.lastname: Sanders
authors.forename: Georges
authors.initials: G
authors.lastname: Reniers
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000401:mortality*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001344:Autopsy / Q000379:methods*; D002423:Cause of Death; D003625:Data Collection; D003906:Developing Countries / Q000706:statistics & numerical data; D005002:Ethiopia / Q000453:epidemiology; D015658:HIV Infections / Q000401:mortality; D006801:Humans; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance / Q000379:methods; D012015:Reference Standards; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires; D055815:Young Adult