@Article{信息:doi 10.2196 / / jmir。2063年,作者=“Turner, Anne M and Kirchhoff, Katrin and Capurro, Daniel”,标题=“使用众包技术测试多语种公共卫生促进材料”,期刊=“J Med Internet Res”,年=“2012”,月=“Jun”,日=“04”,卷=“14”,数=“3”,页=“e79”,关键词=“众包;健康促进;公共卫生信息学;背景:有效传播公共卫生信息是公共卫生机构促进健康的一项关键战略。要制作有效的健康促进材料,就需要仔细设计信息和从目标人口代表那里获得反馈。当目标受众作为英语水平有限的群体难以达到时,这一点尤其如此。传统的征求反馈的方法——如焦点小组和方便的抽样访谈——既昂贵又耗时。因此,由于公共卫生特有的时间和资源限制,从目标人群获得的充分反馈往往不足。目的:描述一项试点研究,调查使用众包技术作为一种方法,收集关于口腔健康促进信息设计的快速和相关反馈。 Our goal was to better describe the demographics of participants responding to a crowdsourcing survey and to test whether crowdsourcing could be used to gather feedback from English-speaking and Spanish-speaking participants in a short period of time and at relatively low costs. Methods: We developed health promotion materials on pediatric dental health issues in four different formats and in two languages (English and Spanish). We then designed an online survey to elicit feedback on format preferences and made it available in both languages via the Amazon Mechanical Turk crowdsourcing platform. Results: We surveyed 236 native English-speaking and 163 native Spanish-speaking participants in less than 12 days, at a cost of US {\$}374. Overall, Spanish-speaking participants originated from a wider distribution of countries than the overall Latino population in the United States. Most participants were in the 18- to 29-year age range and had some college or graduate education. Participants provided valuable input for the health promotion material design. Conclusions: Our results indicate that crowdsourcing can be an effective method for recruiting and gaining feedback from English-speaking and Spanish-speaking people. Compared with traditional methods, crowdsourcing has the potential to reach more diverse populations than convenience sampling, while substantially reducing the time and cost of gathering participant feedback. More widespread adoption of this method could streamline the development of effective health promotion materials in multiple languages. ", issn="1438-8871", doi="10.2196/jmir.2063", url="//www.mybigtv.com/2012/3/e79/", url="https://doi.org/10.2196/jmir.2063", url="http://www.ncbi.nlm.nih.gov/pubmed/22664384" }
Baidu
map