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Finding the best questions for measuring AIDS mortality using verbal autopsy:

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Finding the best questions for measuring AIDS mortality using verbal autopsy: ... Basia Zaba. Mark Urassa. Raphael Isingo. WHO. Ties Boerma. Objective ... – PowerPoint PPT presentation

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Title: Finding the best questions for measuring AIDS mortality using verbal autopsy:


1
Finding the best questions for measuring AIDS
mortality using verbal autopsy
  • A validation study in
  • Kisesa, Tanzania
  • and
  • Manicaland, Zimbabwe

Ben Lopman
2
Co-authors
  • Manicaland Cohort
  • Jennifer Smith
  • Godwin Chawira
  • Simon Gregson
  • Kisesa Cohort
  • Adrian Cook
  • Yusufu Kumogola
  • Milalu Ndege
  • Basia Zaba
  • Mark Urassa
  • Raphael Isingo
  • WHO
  • Ties Boerma

3
Objective
  • To develop a classification system of AIDS/
    non-AIDS deaths using VA data validated against
    HIV testing that performs consistent in
  • Place
  • Time

4
VA for AIDS mortality
  • HIV/AIDS is the leading cause of death among
    young adults
  • Hospital records and vital registration of deaths
    are inadequate for AIDS
  • bias, underreporting and stigma.
  • Improving measurement of AIDS mortality is urgent
  • Monitoring the success of programmes relies on
    accurate measurement of AIDS deaths

5
KisesaWard (Magu DSS) HIV Prev 1994/1995
6.0 2000/2001 8.3
Manicaland HIV/STD Prevention Study HIV
Prev 1998/2000 23.0 2001/2003 20.5
6
Mortality surveillance and VA tool
  • The study teams identified deaths through the use
    of checklists of all individuals interviewed at
    baseline
  • Nurse conducted interview with primary caregiver
  • VA developed in Kisesa, used in that site until
    2002. After which, a verbal autopsy questionnaire
    based on the INDEPTH standard was used
  • This questionnaire lacked a number of questions
    related to opportunistic infections often seen in
    AIDS patients
  • A nearly identical version was used in Manicaland
    in both Round 1 and Round 2.

7
Gold Standard
  • Gold standard of AIDS deaths. An individual who
    was
  • a) HIV positive at previous test
  • b) not accident/injury
  • c) not direct obstetric deaths

8
Training and testing datasets
9
AIDS deaths (gold standard)
10
Rule-based algorithm
  • On TRAIN data
  • Calculate LR for all signs symptoms
  • Based on SPECIFICITY
  1. Weight loss

2.
11
(No Transcript)
12
Specificity 15 to 44 year
13
Sensitivity 15 44 year
14
15 to 44 years (9 Signs/Symptoms)
Specificity
Sensitivity
Manicaland
Kisesa
Manicaland
Kisesa
15
45 to 59 years (9 Signs/Symptoms)
Specificity
Sensitivity
Kisesa
Manicaland
Kisesa
Manicaland
16
15 to 44 years, INDEPTH variables (5
Signs/Symptoms)
Specificity
Sensitivity
Manicaland
Kisesa
Manicaland
Kisesa
17
Using INDEPTH questionsKisesa 1994-2002
18
Using INDEPTH questionsManicaland R2
19
AIDS CSMF, Correcting for misclassification
Estimate True
Manica R1 76 74
Manica R2 88 76
Kisesa 51 53
20
Estimating HIV prevalence
Estimate (95 CI) True
Manica R1 24 (18-31) 23
21
Conclusions
  • Developed a set of criteria using VA that
    consistently measures AIDS mortality
  • Algorithm performs consistently in these settings
    of variable HIV prevalence
  • Only reliable for adults under age 45
  • OK in Manicaland, fewer female AIDS deaths in
    older adults in Kisesa
  • Not subject to clinical biases
  • Can estimate HIV mortality in populations lacking
    serosurveillance

22
INDEPTH and WHO VA
  • Either of these widely used VA tools would face
    some limitations surveying AIDS mortality with
    the proposed criteria
  • Highly predictive and common
  • Herpes zoster, oral candidiasis, abscesses/sores
  • Highly predictive and rare
  • Vaginal tumors

23
Acknowledgements
  • Funding
  • Health Metrics Network
  • Wellcome Trust
  • Netherlands Government
  • People of Kisesa Ward, Tanzania and Manicaland
    Province, Zimbabwe
  • Especially Kin and Caregivers
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