Population-Based HIV Impact Assessments Survey Methods, Response, and Quality in Zimbabwe, Malawi, and Zambia.


Journal

Journal of acquired immune deficiency syndromes (1999)
ISSN: 1944-7884
Titre abrégé: J Acquir Immune Defic Syndr
Pays: United States
ID NLM: 100892005

Informations de publication

Date de publication:
01 08 2021
Historique:
received: 28 01 2021
accepted: 04 02 2021
entrez: 24 6 2021
pubmed: 25 6 2021
medline: 6 11 2021
Statut: ppublish

Résumé

The population-based HIV impact assessment (population-based HIV impact assessments) surveys are among the first to estimate national adult HIV incidence, subnational prevalence of viral load suppression, and pediatric HIV prevalence. We summarize the survey methods implemented in Zimbabwe, Malawi, and Zambia, as well as response rates and quality metrics. Each cross-sectional, household-based survey used a 2-stage cluster design. Survey preparations included sample design, questionnaire development, tablet programming for informed consent and data collection, community mobilization, establishing a network of satellite laboratories, and fieldworker training. Interviewers collected demographic, behavioral, and clinical information using tablets. Blood was collected for home-based HIV testing and counseling (HBTC) and point-of-care CD4+ T-cell enumeration with results immediately returned. HIV-positive blood samples underwent laboratory-based confirmatory testing, HIV incidence testing, RNA polymerase chain reaction (viral load), DNA polymerase chain reaction (early infant diagnosis), and serum antiretroviral drug detection. Data were weighted for survey design, and chi square automatic interaction detection-based methods were used to adjust for nonresponse. Each survey recruited a nationally representative, household-based sample of children and adults over a 6-10-month period in 2015 and 2016. Most (84%-90%) of the 12,000-14,000 eligible households in each country participated in the survey, with 77%-81% of eligible adults completing an interview and providing blood for HIV testing. Among eligible children, 59%-73% completed HIV testing. Across the 3 surveys, 97.8% of interview data were complete and had no errors. Conducting a national population-based HIV impact assessment with immediate return of HIV and other point-of-care test results was feasible, and data quality was high.

Sections du résumé

BACKGROUND
The population-based HIV impact assessment (population-based HIV impact assessments) surveys are among the first to estimate national adult HIV incidence, subnational prevalence of viral load suppression, and pediatric HIV prevalence. We summarize the survey methods implemented in Zimbabwe, Malawi, and Zambia, as well as response rates and quality metrics.
METHODS
Each cross-sectional, household-based survey used a 2-stage cluster design. Survey preparations included sample design, questionnaire development, tablet programming for informed consent and data collection, community mobilization, establishing a network of satellite laboratories, and fieldworker training. Interviewers collected demographic, behavioral, and clinical information using tablets. Blood was collected for home-based HIV testing and counseling (HBTC) and point-of-care CD4+ T-cell enumeration with results immediately returned. HIV-positive blood samples underwent laboratory-based confirmatory testing, HIV incidence testing, RNA polymerase chain reaction (viral load), DNA polymerase chain reaction (early infant diagnosis), and serum antiretroviral drug detection. Data were weighted for survey design, and chi square automatic interaction detection-based methods were used to adjust for nonresponse.
RESULTS
Each survey recruited a nationally representative, household-based sample of children and adults over a 6-10-month period in 2015 and 2016. Most (84%-90%) of the 12,000-14,000 eligible households in each country participated in the survey, with 77%-81% of eligible adults completing an interview and providing blood for HIV testing. Among eligible children, 59%-73% completed HIV testing. Across the 3 surveys, 97.8% of interview data were complete and had no errors.
CONCLUSION
Conducting a national population-based HIV impact assessment with immediate return of HIV and other point-of-care test results was feasible, and data quality was high.

Identifiants

pubmed: 34166308
doi: 10.1097/QAI.0000000000002710
pii: 00126334-202108011-00003
pmc: PMC8650710
mid: NIHMS1751003
doi:

Substances chimiques

Anti-HIV Agents 0
Biomarkers 0

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

S6-S16

Subventions

Organisme : CGH CDC HHS
ID : U2G GH000994
Pays : United States
Organisme : CGH CDC HHS
ID : U2G GH001226
Pays : United States
Organisme : PEPFAR
Pays : United States

Informations de copyright

Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors have no conflicts of interest to disclose.

Références

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Auteurs

Karampreet Sachathep (K)

ICAP at Columbia University, New York, NY.

Elizabeth Radin (E)

ICAP at Columbia University, New York, NY.

Wolfgang Hladik (W)

Centers for Disease Control and Prevention, Atlanta, GA.

Avi Hakim (A)

Centers for Disease Control and Prevention, Atlanta, GA.

Suzue Saito (S)

ICAP at Columbia University, New York, NY.

Janet Burnett (J)

Centers for Disease Control and Prevention, Atlanta, GA.

Kristin Brown (K)

Centers for Disease Control and Prevention, Atlanta, GA.

Neena Phillip (N)

ICAP at Columbia University, New York, NY.

Sasi Jonnalagadda (S)

Centers for Disease Control and Prevention, Atlanta, GA.

Andrea Low (A)

ICAP at Columbia University, New York, NY.

Dan Williams (D)

Centers for Disease Control and Prevention, Atlanta, GA.

Hetal Patel (H)

Centers for Disease Control and Prevention, Atlanta, GA.

Amy Herman-Roloff (A)

Centers for Disease Control and Prevention, Harare, Zimbabwe.

Godfrey Musuka (G)

ICAP at Columbia University, New York, NY.

Beth Barr (B)

Centers for Disease Control and Prevention, Harare, Zimbabwe.

Nellie Wadondo-Kabonda (N)

Centers for Disease Control and Prevention, Lilongwe, Malawi.

Gertrude Chipungu (G)

ICAP at Columbia University, New York, NY.

Yen Duong (Y)

ICAP at Columbia University, New York, NY.

Stephen Delgado (S)

ICAP at Columbia University, New York, NY.

Stanley Kamocha (S)

Centers for Disease Control and Prevention, Lusaka, Zambia.

Steve Kinchen (S)

Centers for Disease Control and Prevention, Atlanta, GA.

Graham Kalton (G)

Westat, Rockville, MD.

Leah Schwartz (L)

ICAP at Columbia University, New York, NY.

George Bello (G)

Government of Malawi, Ministry of HealthLilongwe, Malawi.

Owen Mugurungi (O)

Government of Zimbabwe, Ministry of Health and Child Care, Harare, Zimbabwe.

Lloyd Mulenga (L)

Government of Zambia, Ministry of Health, Lusaka, Zambia; and.

Bharat Parekh (B)

Centers for Disease Control and Prevention, Atlanta, GA.

Laura Porter (L)

Centers for Disease Control and Prevention, Atlanta, GA.

David Hoos (D)

ICAP at Columbia University, New York, NY.

Andrew Charles Voetsch (AC)

Centers for Disease Control and Prevention, Atlanta, GA.

Jessica Justman (J)

ICAP at Columbia University, New York, NY.

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