Department of Health Statistics, Shanxi Medical University, 56 XinJian South Road, Taiyuan City, 030001, Shanxi Province, China.
Department of Epidemiology and Biostatistics, Michigan State University, 909 Fee Road, Room 601, East Lansing, MI 48824, United States.
Public Health. 2018 Jul;160:81-86. doi: 10.1016/j.puhe.2018.04.002. Epub 2018 May 21.
Recall bias, barrier effects, transmission error, and response bias affecting the network scale-up method (NSUM) led the Joint United Nations Programme on HIV/AIDS and the World Health Organization to designate NSUM as a developing method for estimating the size of high-risk populations in 2010. The method has subsequently been adjusted for three of these biases. The present study, therefore, aimed to explore the combination of the randomized response technique (RRT) and NSUM to adjust the last remaining bias.
RRT was used in an NSUM survey to estimate the population proportion of female sex workers (FSWs) in Taiyuan, China, in 2012.
Multiplier method estimates and national-level estimates of the population proportion of FSWs were used as criteria to assess the aforementioned results.
Successful interviews were completed with 96.4% of the respondents selected for the NSUM survey. The NSUM estimate fell within the range of the national-level estimates of the population proportion of FSWs in Asia and was close to the estimate yielded by the multiplier method.
In the present study, the combination of RRT and NSUM obtained a high response rate and produced a reliable estimate of the size of a high-risk population.
由于回忆偏倚、障碍效应、传输误差和应答偏倚影响了网络规模估计法（NSUM），联合国艾滋病规划署和世界卫生组织在 2010 年将 NSUM 指定为一种估计高危人群规模的发展中方法。此后，该方法针对其中三种偏差进行了调整。因此，本研究旨在探索随机应答技术（RRT）与 NSUM 的结合，以调整最后剩下的偏差。
RRT 用于 2012 年中国太原的 NSUM 调查，以估计性工作者（FSWs）的人口比例。
使用倍增法估计和全国性 FSWs 人口比例估计作为评估上述结果的标准。
成功完成了对 NSUM 调查中选定的 96.4%受访者的访谈。NSUM 估计值在亚洲 FSWs 人口比例的全国性估计值范围内，且接近倍增法的估计值。
在本研究中，RRT 与 NSUM 的结合获得了较高的应答率，并产生了可靠的高危人群规模估计值。
