Literature DB >> 20214760

Evaluating the InterVA model for determining AIDS mortality from verbal autopsies in the adult population of Addis Ababa.

Biruk Tensou1, Tekebash Araya, Daniel S Telake, Peter Byass, Yemane Berhane, Tolcha Kebebew, Eduard J Sanders, Georges Reniers.   

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.
CONCLUSION: 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.

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Year:  2010        PMID: 20214760      PMCID: PMC3901008          DOI: 10.1111/j.1365-3156.2010.02484.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  23 in total

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2.  Verbal autopsies for adult deaths: their development and validation in a multicentre study.

Authors:  D Chandramohan; G H Maude; L C Rodrigues; R J Hayes
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3.  Algorithms for verbal autopsies: a validation study in Kenyan children.

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Review 5.  Verbal autopsies for adult deaths: issues in their development and validation.

Authors:  D Chandramohan; G H Maude; L C Rodrigues; R J Hayes
Journal:  Int J Epidemiol       Date:  1994-04       Impact factor: 7.196

6.  A review of data-derived methods for assigning causes of death from verbal autopsy data.

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7.  Diagnostic accuracy of physician review, expert algorithms and data-derived algorithms in adult verbal autopsies.

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8.  Validity of data-derived algorithms for ascertaining causes of adult death in two African sites using verbal autopsy.

Authors:  M A Quigley; D Chandramohan; P Setel; F Binka; L C Rodrigues
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9.  Validation and application of verbal autopsies in a rural area of South Africa.

Authors:  K Kahn; S M Tollman; M Garenne; J S Gear
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10.  Mortality impact of AIDS in Addis Ababa, Ethiopia.

Authors:  Eduard J Sanders; Tekebash Araya; Derege Kebede; Ab J Schaap; Nico D Nagelkerke; Roel A Coutinho
Journal:  AIDS       Date:  2003-05-23       Impact factor: 4.177

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  28 in total

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4.  Moving from data on deaths to public health policy in Agincourt, South Africa: approaches to analysing and understanding verbal autopsy findings.

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7.  Mortality measurement in transition: proof of principle for standardised multi-country comparisons.

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8.  Strengthening standardised interpretation of verbal autopsy data: the new InterVA-4 tool.

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10.  Evaluating the performance of interpreting Verbal Autopsy 3.2 model for establishing pulmonary tuberculosis as a cause of death in Ethiopia: a population-based cross-sectional study.

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Journal:  BMC Public Health       Date:  2012-11-29       Impact factor: 3.295

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