PDF(Pubmed)
Abstract：
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.
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.
摘要：
背景：泰国的艾滋病毒流行主要集中在男男性行为者（MSM）中，监测工作主要基于病例监测和当地生物行为调查。
目标：我们驾驶了KaiNoi，MSM中基于网络的受访者驱动抽样(RDS)调查。
方法：我们开发了一个用PHP编码的应用程序，该应用程序简化了RDS办公室中通常使用的所有程序和事件，以便在Web上使用。包括电子优惠券验证，资格筛选,同意,采访,同行招聘，电子优惠券发行，和补偿。所有程序都是自动化的，电子优惠券ID号是随机生成的。参与者的电话号码是检测和防止重复登记的主要手段。泰国各地进行了采样；曼谷居民还被邀请参加10个诊所中的1个，进行与艾滋病毒有关的抽血，并获得额外补偿。
结果：从2022年2月至6月进行采样；种子（开始时21，14后来添加)是通过横幅广告识别的，微消息,和在线聊天室。抽样遍及所有6个地区和几乎所有省份。识别出使用“借用”电话号码的欺诈性（重复）注册，并导致318个调查记录的检测和失效。另有106名参与者没有通过注意力过滤问题（要求新兵选择特定的分类回答），并被排除在数据分析之外。导致1643名有效参与者的最终数据集。只有一个记录显示出直线的迹象（相同的相邻响应）。曼谷受访者均未提出抽血。
结论：我们成功开发了一个应用程序，在泰国的MSM中实施基于Web的RDS。尽量减少措施，检测，在提供补偿的基于网络的调查中，消除欺诈性的调查登记势在必行。需要努力改善生物标志物的吸收，以充分挖掘基于网络的采样和数据收集的潜力。
目标：我们驾驶了KaiNoi，MSM中基于网络的受访者驱动抽样(RDS)调查。
方法：我们开发了一个用PHP编码的应用程序，该应用程序简化了RDS办公室中通常使用的所有程序和事件，以便在Web上使用。包括电子优惠券验证，资格筛选,同意,采访,同行招聘，电子优惠券发行，和补偿。所有程序都是自动化的，电子优惠券ID号是随机生成的。参与者的电话号码是检测和防止重复登记的主要手段。泰国各地进行了采样；曼谷居民还被邀请参加10个诊所中的1个，进行与艾滋病毒有关的抽血，并获得额外补偿。
结果：从2022年2月至6月进行采样；种子（开始时21，14后来添加)是通过横幅广告识别的，微消息,和在线聊天室。抽样遍及所有6个地区和几乎所有省份。识别出使用“借用”电话号码的欺诈性（重复）注册，并导致318个调查记录的检测和失效。另有106名参与者没有通过注意力过滤问题（要求新兵选择特定的分类回答），并被排除在数据分析之外。导致1643名有效参与者的最终数据集。只有一个记录显示出直线的迹象（相同的相邻响应）。曼谷受访者均未提出抽血。
结论：我们成功开发了一个应用程序，在泰国的MSM中实施基于Web的RDS。尽量减少措施，检测，在提供补偿的基于网络的调查中，消除欺诈性的调查登记势在必行。需要努力改善生物标志物的吸收，以充分挖掘基于网络的采样和数据收集的潜力。
