{"title":"Participation Rates In Epidemiology Studies And Surveys: A Review 2007–2015","authors":"C. Keeble, P. Baxter, Stuart Barber, G. Law","doi":"10.5580/IJE.34897","DOIUrl":null,"url":null,"abstract":"Understanding the factors associated with participation is key in addressing the problem of declining participation rates in epidemiological studies. This review aims to summarise factors affecting participation rates in articles published during the last nine years, to compare with previous findings to determine whether the research focus for non-participation has changed and whether the findings have been consistent over time. Web of Science was used to search titles of English articles from 2007–2015 for a range of synonymous words concerning participation rates. A predefined inclusion criteria was used to determine whether the resulting articles referred to participation in the context of study enrolment. Factors associated with participation were extracted from included articles. The search returned 626 articles, of which 162 satisfied the inclusion criteria. Compared with pre-2007, participant characteristics generally remained unchanged, but were topic-dependent. An increased focus on study design and a greater use of technology for enrolment and data collection was found, suggesting a transition towards technology-based methods. In addition to increased participation rates, studies should consider any bias arising from non-participation. When reporting results, authors are encouraged to include a standardised participation rate, a calculation of potential bias, and to apply an appropriate statistical method where appropriate. Requirements from journals to include these would allow for easier comparison of results between studies.","PeriodicalId":247354,"journal":{"name":"The Internet Journal of Epidemiology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Internet Journal of Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5580/IJE.34897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
Understanding the factors associated with participation is key in addressing the problem of declining participation rates in epidemiological studies. This review aims to summarise factors affecting participation rates in articles published during the last nine years, to compare with previous findings to determine whether the research focus for non-participation has changed and whether the findings have been consistent over time. Web of Science was used to search titles of English articles from 2007–2015 for a range of synonymous words concerning participation rates. A predefined inclusion criteria was used to determine whether the resulting articles referred to participation in the context of study enrolment. Factors associated with participation were extracted from included articles. The search returned 626 articles, of which 162 satisfied the inclusion criteria. Compared with pre-2007, participant characteristics generally remained unchanged, but were topic-dependent. An increased focus on study design and a greater use of technology for enrolment and data collection was found, suggesting a transition towards technology-based methods. In addition to increased participation rates, studies should consider any bias arising from non-participation. When reporting results, authors are encouraged to include a standardised participation rate, a calculation of potential bias, and to apply an appropriate statistical method where appropriate. Requirements from journals to include these would allow for easier comparison of results between studies.
了解与参与有关的因素是解决流行病学研究参与率下降问题的关键。本综述旨在总结过去九年中发表的文章中影响参与率的因素,并与以前的研究结果进行比较,以确定不参与的研究重点是否发生了变化,以及研究结果是否随着时间的推移而保持一致。Web of Science被用来搜索2007-2015年的英文文章标题,寻找一系列与参与率相关的同义词。使用预定义的纳入标准来确定所得到的文章是否涉及研究入组的参与。从纳入的文章中提取与参与相关的因素。检索结果为626篇,其中162篇符合纳入标准。与2007年前相比,参与者的特征基本保持不变,但具有话题依赖性。研究发现,人们越来越关注研究设计,并更多地使用技术进行登记和数据收集,这表明人们正在向基于技术的方法过渡。除了增加参与率外,研究还应考虑不参与所产生的偏见。在报告结果时,鼓励作者包括标准化的参与率,潜在偏差的计算,并在适当的地方应用适当的统计方法。期刊的要求包括这些内容,可以更容易地比较研究之间的结果。