Evidence map›Paper›PMID 30119057›Full record

ArticleEpidemiology (Cambridge, Mass.)2018

Estimating Sizes of Key Populations at the National Level: Considerations for Study Design and Analysis.

Jessie K Edwards, Sarah Hileman, Yeycy Donastorg, Sabrina Zadrozny, Stefan Baral, James R Hargreaves, Elizabeth Fearon, Jinkou Zhao, Abhirup Datta, Sharon S Weir

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

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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

10 authors.

Jessie K EdwardsFrom the Department of Epidemiology, University of North Carolina at Chapel Hill: Chapel Hill, NC.
Sarah HilemanCarolina Population Center, University of North Carolina at Chapel Hill: Chapel Hill, NC.
Yeycy DonastorgInstituto Dermatológico y Cirugía de Piel Dr. Huberto Bogaert Díaz.
Sabrina ZadroznyCarolina Population Center, University of North Carolina at Chapel Hill: Chapel Hill, NC.
Stefan BaralDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD.
James R HargreavesDepartment of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine: London, UK.
Elizabeth FearonDepartment of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine: London, UK.
Jinkou ZhaoThe Global Fund, Geneva, Switzerland.
Abhirup DattaDepartment of Biostatistics, Johns Hopkins School of Public Health, Baltimore, MD.
Sharon S WeirFrom the Department of Epidemiology, University of North Carolina at Chapel Hill: Chapel Hill, NC.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Comparative effectiveness of tailored HIV treatment plans and mortalityK01AI125087 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EDWARDS, JESSIE · 2017 to 2021
$586k
NICHD NIH HHS P2C HD050924PEPFAR
6 · The paper itself

Abstract

backgroundNational estimates of the sizes of key populations, including female sex workers, men who have sex with men, and transgender women are critical to inform national and international responses to the HIV pandemic. However, epidemiologic studies typically provide size estimates for only limited high priority geographic areas. This article illustrates a two-stage approach to obtain a national key population size estimate in the Dominican Republic using available estimates and publicly available contextual information.

methodsAvailable estimates of key population size in priority areas were augmented with targeted additional data collection in other areas. To combine information from data collected at each stage, we used statistical methods for handling missing data, including inverse probability weights, multiple imputation, and augmented inverse probability weights.

resultsUsing the augmented inverse probability weighting approach, which provides some protection against parametric model misspecification, we estimated that 3.7% (95% CI = 2.9, 4.7) of the total population of women in the Dominican Republic between the ages of 15 and 49 years were engaged in sex work, 1.2% (95% CI = 1.1, 1.3) of men aged 15-49 had sex with other men, and 0.19% (95% CI = 0.17, 0.21) of people assigned the male sex at birth were transgender.

conclusionsViewing the size estimation of key populations as a missing data problem provides a framework for articulating and evaluating the assumptions necessary to obtain a national size estimate. In addition, this paradigm allows use of methods for missing data familiar to epidemiologists.

Indexed as

Population DensityAdolescentAdultData Interpretation, StatisticalDemographyDominican RepublicEpidemiologic MeasurementsFemaleHomosexuality, MaleHumansMaleMiddle AgedResearch DesignSex WorkTransgender PersonsYoung Adult

Identifiers

PMID30119057
PMCPMC6542351

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LicenceCC BY
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Registered trials

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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.