Evidence map›Paper›PMID 30896432›Full record

ArticleJMIR public health and surveillance2019

Kuantim mi tu ("Count me too"): Using Multiple Methods to Estimate the Number of Female Sex Workers, Men Who Have Sex With Men, and Transgender Women in Papua New Guinea in 2016 and 2017.

Damian Weikum, Angela Kelly-Hanku, Parker Hou, Martha Kupul, Angelyne Amos-Kuma, Steven G Badman, Nick Dala, Kelsey C Coy, John M Kaldor, Andrew J Vallely and 1 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

11 authors.

Damian WeikumUS Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID http://orcid.org/0000-0002-6715-6718
Angela Kelly-HankuKirby Institute, UNSW, Sydney, Australia.ORCID http://orcid.org/0000-0003-0152-2954
Parker HouPapua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.ORCID http://orcid.org/0000-0002-0685-255X
Martha KupulPapua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.ORCID http://orcid.org/0000-0002-0937-1057
Angelyne Amos-KumaPapua New Guinea Institute of Medical Research, Goroka, Papua New Guinea.ORCID http://orcid.org/0000-0002-2463-0854
Steven G BadmanKirby Institute, UNSW, Sydney, Australia.ORCID http://orcid.org/0000-0003-4222-3176
Nick DalaPapua New Guinea National Department of Health, Port Moresby, Papua New Guinea.ORCID http://orcid.org/0000-0001-8758-3373
Kelsey C CoyUS Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID http://orcid.org/0000-0002-4540-3407
John M KaldorKirby Institute, UNSW, Sydney, Australia.ORCID http://orcid.org/0000-0002-7639-4355
Andrew J VallelyKirby Institute, UNSW, Sydney, Australia.ORCID http://orcid.org/0000-0003-1558-4822
Avi J HakimUS Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID http://orcid.org/0000-0001-6754-6241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFemale sex workers (FSW), men who have sex with men (MSM), and transgender women (TGW) are at high risk of acquiring HIV in many settings, such as Papua New Guinea (PNG). An understanding of the approximate size of these populations can inform resource allocation for HIV services for FSW, MSM, and TGW.

objectiveAn objective of this multi-site survey was to conduct updated population size estimations (PSE) of FSW and MSM/TGW.

methodsRespondent-driven sampling (RDS) biobehavioral surveys of FSW and MSM/TGW were conducted in 3 major cities-(1) Port Moresby, (2) Lae, and (3) Mount Hagen-between June 2016 and December 2017. Eligibility criteria for FSW included: (1) ≥12 years of age, (2) born female, (3) could speak English or Tok Pisin (PNG Pidgin), and (4) had sold or exchanged sex with a man in the past six months. Eligibility for MSM/TGW included: (1) ≥12 years of age, (2) born male, (3) could speak English, or Tok Pisin, and (4) had engaged in oral or anal sex with another person born male in the past six months. PSE methods included unique object multiplier, service multiplier, and successive sampling-population size estimation (SS-PSE) using imputed visibility. Weighted data analyses were conducted using RDS-Analyst and Microsoft Excel.

resultsSample sizes for FSW and MSM/TGW in Port Moresby, Lae, and Mount Hagen included: (1) 673 and 400, (2) 709 and 352, and (3) 709 and 111 respectively. Keychains were used for the unique object multiplier method and were distributed 1 week before the start of each RDS survey. HIV service testing data were only available in Port Moresby and Mount Hagen and SS-PSE estimates were calculated for all cities. Due to limited service provider data and uncertain prior size estimation knowledge, unique object multiplier weighted estimations were chosen for estimates. In Port Moresby, we estimate that there are 16,053 (95% CI 8232-23,874) FSW and 7487 (95% CI 3975-11,000) MSM/TGW, approximately 9.5% and 3.8% of the female and male populations respectively. In Lae, we estimate that there are 6105 (95% CI 4459-7752) FSW and 4669 (95% CI 3068-6271) MSM/TGW, approximately 14.4% and 10.1% of the female and male populations respectively. In Mount Hagen, we estimate that there are 2646 (95% CI 1655-3638) FSW and 1095 (95% CI 913-1151) MSM/TGW using service multiplier and successive sampling, respectively. This is approximately 17.1% and 6.3% of the female and male populations respectively.

conclusionsAs the HIV epidemic in PNG rapidly evolves among key populations, PSE should be repeated to produce current estimates for timely comparison and future trend analysis.

Indexed as

female sex workerskey populationsmen who have sex with menPapua New Guineapopulation size estimationrespondent-driven samplingservice multipliersuccessive samplingtransgender womenunique object multiplier

Identifiers

PMID30896432
PMCPMC6447989

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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.