TY - JOUR AU - Karuchit, Samart AU - Thiengtham, Panupit AU - Tanpradech, Suvimon AU - Srinor, Watcharapol AU - Yingyong, Thitipong AU - Naiwatanakul, Thananda AU - Northbrook, Sanny AU - Hladik, Wolfgang PY - 2024 DA - 2024/5/20 TI - A Web-Based, Respondent-Driven Sampling Survey Among Men Who Have Sex With Men (Kai Noi): Description of Methods and Characteristics JO - JMIR Form Res SP - e50812 VL - 8 KW - online respondent-driven sampling KW - web-based respondent-driven sampling KW - virtual architecture KW - men who have sex with men KW - Thailand KW - MSM KW - Asia KW - Asian KW - gay KW - homosexual KW - homosexuality KW - sexual minority KW - sexual minorities KW - biobehavioral KW - surveillance KW - respondent driven sampling KW - survey KW - surveys KW - web app KW - web application KW - coding KW - PHP KW - web based KW - automation KW - automated KW - design KW - architecture KW - information system KW - information systems KW - online sampling KW - HIV KW - sexually transmitted infection KW - STI KW - sexually transmitted disease KW - STD KW - sexual transmission KW - sexually transmitted KW - RDS KW - webRDS AB - Background: Thailand’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. Objective: We piloted Kai Noi, a web-based respondent-driven sampling (RDS) survey among MSM. Methods: We 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. Results: Sampling 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. Conclusions: We 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. SN - 2561-326X UR - https://formative.jmir.org/2024/1/e50812 UR - https://doi.org/10.2196/50812 UR - http://www.ncbi.nlm.nih.gov/pubmed/38767946 DO - 10.2196/50812 ID - info:doi/10.2196/50812 ER -