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首页> 外文期刊>JMIR public health and surveillance. >Fraud Detection Protocol for Web-Based Research Among Men Who Have Sex With Men: Development and Descriptive Evaluation
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Fraud Detection Protocol for Web-Based Research Among Men Who Have Sex With Men: Development and Descriptive Evaluation

机译：与男人发生性关系的基于Web的研究中的欺诈检测协议：发展和描述性评估

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Background: Internet is becoming an increasingly common tool for survey research, particularly among “hidden” or vulnerable populations, such as men who have sex with men (MSM). Web-based research has many advantages for participants and researchers, but fraud can present a significant threat to data integrity. Objective: The purpose of this analysis was to evaluate fraud detection strategies in a Web-based survey of young MSM and describe new protocols to improve fraud detection in Web-based survey research. Methods: This study involved a cross-sectional Web-based survey that examined individual- and network-level risk factors for HIV transmission and substance use among young MSM residing in 15 counties in Central Kentucky. Each survey entry, which was at least 50% complete, was evaluated by the study staff for fraud using an algorithm involving 8 criteria based on a combination of geolocation data, survey data, and personal information. Entries were classified as fraudulent, potentially fraudulent, or valid. Descriptive analyses were performed to describe each fraud detection criterion among entries. Results: Of the 414 survey entries, the final categorization resulted in 119 (28.7%) entries identified as fraud, 42 (10.1%) as potential fraud, and 253 (61.1%) as valid. Geolocation outside of the study area (164/414, 39.6%) was the most frequently violated criterion. However, 33.3% (82/246) of the entries that had ineligible geolocations belonged to participants who were in eligible locations (as verified by their request to mail payment to an address within the study area or participation at a local event). The second most frequently violated criterion was an invalid phone number (94/414, 22.7%), followed by mismatching names within an entry (43/414, 10.4%) and unusual email addresses (37/414, 8.9%). Less than 5% (18/414) of the entries had some combination of personal information items matching that of a previous entry. Conclusions: This study suggests that researchers conducting Web-based surveys of MSM should be vigilant about the potential for fraud. Researchers should have a fraud detection algorithm in place prior to data collection and should not rely on the Internet Protocol (IP) address or geolocation alone, but should rather use a combination of indicators.
机译：背景：互联网正在成为调查研究的越来越普遍的工具，尤其是在“隐性”或脆弱人群中，例如与男性发生性关系的男性。基于Web的研究对于参与者和研究人员而言具有许多优势，但是欺诈会严重威胁数据完整性。目的：本分析的目的是在基于Web的年轻MSM调查中评估欺诈检测策略，并描述新的协议以改进基于Web的调查研究中的欺诈检测。方法：本研究涉及一项基于网络的横断面调查，该调查调查了肯塔基州中部15个县的年轻MSM中HIV传播和使用毒品的个人和网络级风险因素。研究人员使用涉及8个标准的算法，根据地理位置数据，调查数据和个人信息的组合，对每个调查条目（至少完成了50％）进行了欺诈评估。条目被分类为欺诈，潜在欺诈或有效。进行描述性分析以描述条目中的每个欺诈检测标准。结果：在414个调查条目中，最终分类结果是：119个（28.7％）条目被确定为欺诈，42个（10.1％）被标识为潜在欺诈，253个（61.1％）被确定为有效。研究区域之外的地理位置（164/414，39.6％）是最经常违反的标准。但是，具有不合格地理位置的条目中有33.3％（82/246）属于符合条件的位置的参与者（已通过将付款方式邮寄到研究区域内的地址或参加本地活动的请求得到验证）。第二个最常违反的标准是无效的电话号码（94/414，22.7％），其次是条目中的名称不匹配（43/414，10.4％）和不寻常的电子邮件地址（37/414，8.9％）。少于5％（18/414）的条目具有与上一个条目相匹配的个人信息项的某种组合。结论：这项研究表明，进行基于网络的MSM调查的研究人员应警惕欺诈的可能性。研究人员应在数据收集之前采用欺诈检测算法，并且不应仅依赖Internet协议（IP）地址或地理位置，而应结合使用指标。

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