Evidence map›Paper›PMID 34166308›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2021

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

Karampreet Sachathep, Elizabeth Radin, Wolfgang Hladik, Avi Hakim, Suzue Saito, Janet Burnett, Kristin Brown, Neena Phillip, Sasi Jonnalagadda, Andrea Low and 21 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors at 8 institutions in 4 countries.

Karampreet SachathepICAP at Columbia University, New York, NY.
Elizabeth RadinICAP at Columbia University, New York, NY.
Wolfgang HladikCenters for Disease Control and Prevention, Atlanta, GA.
Avi HakimCenters for Disease Control and Prevention, Atlanta, GA.
Suzue SaitoICAP at Columbia University, New York, NY.
Janet BurnettCenters for Disease Control and Prevention, Atlanta, GA.
Kristin BrownCenters for Disease Control and Prevention, Atlanta, GA.
Neena PhillipICAP at Columbia University, New York, NY.
Sasi JonnalagaddaCenters for Disease Control and Prevention, Atlanta, GA.
Andrea LowICAP at Columbia University, New York, NY.
Dan WilliamsCenters for Disease Control and Prevention, Atlanta, GA.
Hetal PatelCenters for Disease Control and Prevention, Atlanta, GA.
Amy Herman-RoloffCenters for Disease Control and Prevention, Harare, Zimbabwe.
Godfrey MusukaICAP at Columbia University, New York, NY.
Beth BarrCenters for Disease Control and Prevention, Harare, Zimbabwe.
Nellie Wadondo-KabondaCenters for Disease Control and Prevention, Lilongwe, Malawi.
Gertrude ChipunguICAP at Columbia University, New York, NY.
Yen DuongICAP at Columbia University, New York, NY.
Stephen DelgadoICAP at Columbia University, New York, NY.
Stanley KamochaCenters for Disease Control and Prevention, Lusaka, Zambia.
Steve KinchenCenters for Disease Control and Prevention, Atlanta, GA.
Graham KaltonWestat, Rockville, MD.
Leah SchwartzICAP at Columbia University, New York, NY.
George BelloGovernment of Malawi, Ministry of HealthLilongwe, Malawi.
Owen MugurungiGovernment of Zimbabwe, Ministry of Health and Child Care, Harare, Zimbabwe.
Lloyd MulengaGovernment of Zambia, Ministry of Health, Lusaka, Zambia; and.
Bharat ParekhCenters for Disease Control and Prevention, Atlanta, GA.
Laura PorterCenters for Disease Control and Prevention, Atlanta, GA.
David HoosICAP at Columbia University, New York, NY.
Andrew Charles VoetschCenters for Disease Control and Prevention, Atlanta, GA.
Jessica JustmanICAP at Columbia University, New York, NY.
Centers for Disease Control and Prevention · USColumbia University · USICAP Global HealthCentre for Infectious Disease Research in Zambia · ZMMalawi Government · MWMinistry of Health · ZMMinistry of Health and Child Welfare · ZWWestat (United States) · US

Funding

CGH CDC HHS U2G GH000994CGH CDC HHS U2G GH001226PEPFAR
6 · The paper itself

Abstract

backgroundThe 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.

methodsEach 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.

resultsEach 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.

conclusionConducting 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.

Indexed as

Epidemiological MonitoringHealth SurveysHIV-1AdolescentAdultAnti-HIV AgentsBiomarkersChildChild, PreschoolFemaleHIV InfectionsHumansIncidenceInfantMalawiMaleAnti-HIV AgentsBiomarkers

Identifiers

PMID34166308
PMCPMC8650710
OpenAlexW3169044775

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.