Recruitment-Adjusted Estimates of HIV Prevalence and Risk Among Men Who Have Sex with Men: Effects of Weighting Venue-Based Sampling Data
Recruitment-Adjusted Estimates of HIV Prevalence and Risk Among Men Who Have Sex with Men: Effects of Weighting Venue-Based Sampling Data
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DOI：
10.1177/003335491112600505
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发表时间：
2011-09-01
影响因子：
3.3
通讯作者：
Hagan, Holly
中科院分区：
文献类型：
--
作者：
Jenness, Samuel M.;Neaigus, Alan;Hagan, Holly
目标。我们调查了基于场所的抽样（VBS）方法中招募偏差的影响，该方法广泛用于估计人群中的疾病患病率和风险因素，例如聚集在社交场所的男男性行为者（MSM）。方法。在 2008 年对纽约市 479 名 MSM 进行的 VBS 研究中，我们计算了特定场所的接近率（MSM 接近/MSM 计数）和响应率（MSM 访谈/MSM 接近），然后将 HIV 风险因素和血清流行率的粗略估计值与加权估计值进行比较，以解决很少参加社交场所或在高流量场所招募的 MSM 的较低选择概率问题。结果。我们在舞蹈俱乐部、同性恋骄傲活动和公共性漫步活动中的接近率最低，这些场所的人流量最高；响应率从同性恋骄傲活动的 39% 到社区组织的 95% 不等。 67% 的受访者至少每周参加一次以 MSM 为导向的社交场所，21% 的受访者每月参加一次此类活动或在过去一年中参加次数较少。在根据这些变化进行调整的估计中，与粗略估计相比，过去一年的一些风险因素（例如，与临时/交换伴侣的无保护肛交、全部性伴侣、集体性接触、至少每周酗酒和吸毒）的患病率显着降低。调整后的 HIV 患病率低于未调整的患病率（15% 比 18%），但并不显着。结论。当高风险 MSM 的选择概率更大时，不针对招募偏差调整 VBS 数据可能会高估 HIV 风险和患病率。虽然需要进一步检查 VBS 数据的招募调整方法，但目前表明了未调整和调整后的估计数。
Objectives. We investigated the impact of recruitment bias within the venue-based sampling (VBS) method, which is widely used to estimate disease prevalence and risk factors among groups, such as men who have sex with men (MSM), that congregate at social venues.Methods. In a 2008 VBS study of 479 MSM in New York City, we calculated venue-specific approach rates (MSM approached/MSM counted) and response rates (MSM interviewed/MSM approached), and then compared crude estimates of HIV risk factors and seroprevalence with estimates weighted to address the lower selection probabilities of MSM who attend social venues infrequently or were recruited at high-volume venues.Results. Our approach rates were lowest at dance clubs, gay pride events, and public sex strolls, where venue volumes were highest; response rates ranged from 39% at gay pride events to 95% at community-based organizations. Sixty-seven percent of respondents attended MSM-oriented social venues at least weekly, and 21% attended such events once a month or less often in the past year. In estimates adjusted for these variations, the prevalence of several past-year risk factors (e.g., unprotected anal intercourse with casual/exchange partners, total partners, group sex encounters, at least weekly binge drinking, and hard-drug use) was significantly lower compared with crude estimates. Adjusted HIV prevalence was lower than unadjusted prevalence (15% vs. 18%), but not significantly.Conclusions. Not adjusting VBS data for recruitment biases could overestimate HIV risk and prevalence when the selection probability is greater for higher-risk MSM. While further examination of recruitment-adjustment methods for VBS data is needed, presentation of both unadjusted and adjusted estimates is currently indicated.