Evidence map›Paper›PMID 38767946›Full record

ArticleJMIR formative research2024

A Web-Based, Respondent-Driven Sampling Survey Among Men Who Have Sex With Men (Kai Noi): Description of Methods and Characteristics.

Samart Karuchit, Panupit Thiengtham, Suvimon Tanpradech, Watcharapol Srinor, Thitipong Yingyong, Thananda Naiwatanakul, Sanny Northbrook, Wolfgang Hladik

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Samart Karuchit *Informatics Section, Business Services Office, US Centers for Disease Control and Prevention, Nonthaburi, Thailand.ORCID https://orcid.org/0009-0001-0132-8791
Panupit Thiengtham *Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.ORCID https://orcid.org/0009-0005-7428-0062
Suvimon Tanpradech *Division of Global HIV & TB, US Centers for Disease Control and Prevention, Nonthaburi, Thailand.ORCID https://orcid.org/0000-0001-9163-7151
Watcharapol SrinorDivision of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.ORCID https://orcid.org/0009-0001-9185-943X
Thitipong Yingyong *Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.ORCID https://orcid.org/0009-0008-4219-3046
Thananda Naiwatanakul *Division of Global HIV & TB, US Centers for Disease Control and Prevention, Nonthaburi, Thailand.ORCID https://orcid.org/0000-0003-2579-1673
Sanny Northbrook *Division of Global HIV & TB, US Centers for Disease Control and Prevention, Nonthaburi, Thailand.ORCID https://orcid.org/0000-0002-9019-2493
Wolfgang Hladik *Division of Global HIV & TB, US Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID https://orcid.org/0000-0002-3869-1711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThailand's HIV epidemic is heavily concentrated among men who have sex with men (MSM), and surveillance efforts are mostly based on case surveillance and local biobehavioral surveys.

objectiveWe piloted Kai Noi, a web-based respondent-driven sampling (RDS) survey among MSM.

methodsWe developed an application coded in PHP that facilitated all procedures and events typically used in an RDS office for use on the web, including e-coupon validation, eligibility screening, consent, interview, peer recruitment, e-coupon issuance, and compensation. All procedures were automated and e-coupon ID numbers were randomly generated. Participants' phone numbers were the principal means to detect and prevent duplicate enrollment. Sampling took place across Thailand; residents of Bangkok were also invited to attend 1 of 10 clinics for an HIV-related blood draw with additional compensation.

resultsSampling took place from February to June 2022; seeds (21 at the start, 14 added later) were identified through banner ads, micromessaging, and in online chat rooms. Sampling reached all 6 regions and almost all provinces. Fraudulent (duplicate) enrollment using "borrowed" phone numbers was identified and led to the detection and invalidation of 318 survey records. A further 106 participants did not pass an attention filter question (asking recruits to select a specific categorical response) and were excluded from data analysis, leading to a final data set of 1643 valid participants. Only one record showed signs of straightlining (identical adjacent responses). None of the Bangkok respondents presented for a blood draw.

conclusionsWe successfully developed an application to implement web-based RDS among MSM across Thailand. Measures to minimize, detect, and eliminate fraudulent survey enrollment are imperative in web-based surveys offering compensation. Efforts to improve biomarker uptake are needed to fully tap the potential of web-based sampling and data collection.

Indexed as

architectureAsiaAsianautomatedautomationbiobehavioralcodingdesigngayHIVhomosexualhomosexualityinformation systeminformation systemsmen who have sex with menMSMonline respondent-driven samplingonline samplingPHPRDSrespondent driven samplingsexually transmittedsexually transmitted diseasesexually transmitted infectionsexual minoritiessexual minoritysexual transmissionSTDSTIsurveillancesurveysurveysThailandvirtual architectureweb appweb applicationweb basedweb-based respondent-driven samplingwebRDS

Identifiers

PMID38767946
PMCPMC11148518

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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.