Bhatta Mihir, Majumdar Agniva, Banerjee Sitikantha, Ghosh Piyali, Biswas Subrata, Dutta Shanta
National Institute of Cholera and Enteric Diseases, Kolkata, India.
JMIR Res Protoc. 2023 Jun 19;12:e43722. doi: 10.2196/43722.
Respondent-driven sampling (RDS) is a nonprobability sampling technique that allows the extrapolation of its outcome to the target population. This approach is typically used to overcome the difficulties in studying hidden or difficult-to-reach groups.
The purpose of this protocol is to generate a systematic review on the accumulation of biological and behavioral data of female sex workers (FSWs) through different surveys that use the RDS method from around the world in the near future. The future systematic review will discuss the initiation, actualization, and problems of RDS during the accumulation of biological and behavioral data of FSWs through surveys from around the world.
The behavior and biological data of FSWs will be extracted from peer-reviewed studies published between 2010 and 2022 and that are acquired through RDS. Using PubMed, Google Scholar, the Cochrane database, Scopus, Science Direct, and the Global Health network, all papers that are available will be obtained using the search phrases "respondent-driven" and "Female Sex Workers" OR "FSW" OR "sex workers" OR "SW." According to STROBE-RDS (Strengthening the Reporting of Observational Studies in Epidemiology for Respondent-Driven Sampling) criteria, the data will be retrieved through a data extraction form and will be organized using World Health Organization classifications of areas. The Newcastle-Ottawa Quality Assessment Scale will be used to measure bias risk and overall study quality.
The future systematic review that will be generated from this protocol will offer evidence for or against the claim that using the RDS technique to recruit participants from "hidden" or "hard-to-reach" populations is the best strategy. The results will be disseminated through a peer-reviewed publication. Data collection started on April 1, 2023, and the systematic review is expected to be published by December 15, 2023.
A minimum set of parameters for specific methodological, analytical, and testing procedures, including RDS methods to evaluate the overall quality of any RDS survey, will be provided by the future systematic review, in accordance with this protocol, to assist researchers, policy makers, and service providers in improving RDS methods for the surveillance of any key population.
PROSPERO CRD42022346470; https://tinyurl.com/54xe2s3k.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/43722.
应答驱动抽样（RDS）是一种非概率抽样技术，可将其结果外推至目标人群。这种方法通常用于克服研究隐藏或难以接触到的群体时遇到的困难。
本方案的目的是对近期世界各地使用RDS方法的不同调查中女性性工作者（FSW）的生物和行为数据积累情况进行系统评价。未来的系统评价将讨论在通过世界各地的调查收集FSW的生物和行为数据过程中RDS的启动、实施及问题。
FSW的行为和生物数据将从2010年至2022年发表的、通过RDS获得的同行评审研究中提取。使用PubMed、谷歌学术、Cochrane数据库、Scopus、科学Direct和全球健康网络，通过搜索短语“应答驱动”和“女性性工作者”或“FSW”或“性工作者”或“SW”获取所有可用的论文。根据STROBE - RDS（加强应答驱动抽样的流行病学观察性研究报告）标准，通过数据提取表检索数据，并使用世界卫生组织的区域分类进行整理。将使用纽卡斯尔 - 渥太华质量评估量表来衡量偏倚风险和整体研究质量。
根据本方案生成的未来系统评价将为使用RDS技术从“隐藏”或“难以接触到”的人群中招募参与者是否是最佳策略提供支持或反对的证据。结果将通过同行评审出版物进行传播。数据收集于2023年4月1日开始，系统评价预计于2023年12月15日发表。
未来的系统评价将根据本方案提供一套特定方法、分析和测试程序的最低参数集，包括用于评估任何RDS调查整体质量的RDS方法，以帮助研究人员、政策制定者和服务提供者改进用于监测任何关键人群的RDS方法。
PROSPERO CRD42022346470；https://tinyurl.com/54xe2s3k。
国际注册报告标识符（IRRID）：DERR1 - 10.2196/43722。
