School of Media and Communication, University of Leeds, Columbus, Leeds, England.
School of Communication, The Ohio State University, Columbus, OH, United States of America.
PLoS One. 2024 Jan 31;19(1):e0296049. doi: 10.1371/journal.pone.0296049. eCollection 2024.
Pandemics such as Covid-19 pose tremendous public health communication challenges in promoting protective behaviours, vaccination, and educating the public about risks. Segmenting audiences based on attitudes and behaviours is a means to increase the precision and potential effectiveness of such communication. The present study reports on such an audience segmentation effort for the population of England, sponsored by the United Kingdom Health Security Agency (UKHSA) and involving a collaboration of market research and academic experts. A cross-sectional online survey was conducted between 4 and 24 January 2022 with 5525 respondents (5178 used in our analyses) in England using market research opt-in panel. An additional 105 telephone interviews were conducted to sample persons without online or smartphone access. Respondents were quota sampled to be demographically representative. The primary analytic technique was k means cluster analysis, supplemented with other techniques including multi-dimensional scaling and use of respondent - as well as sample-standardized data when necessary to address differences in response set for some groups of respondents. Identified segments were profiled against demographic, behavioural self-report, attitudinal, and communication channel variables, with differences by segment tested for statistical significance. Seven segments were identified, including distinctly different groups of persons who tended toward a high level of compliance and several that were relatively low in compliance. The segments were characterized by distinctive patterns of demographics, attitudes, behaviours, trust in information sources, and communication channels preferred. Segments were further validated by comparing the segmentation variable versus a set of demographic variables as predictors of reported protective behaviours in the past two weeks and of vaccine refusal; the demographics together had about one-quarter the effect size of the single seven-level segment variable. With respect to managerial implications, different communication strategies for each segment are suggested for each segment, illustrating advantages of rich segmentation descriptions for understanding public health communication audiences. Strengths and weaknesses of the methods used are discussed, to help guide future efforts.
新冠疫情等大流行给促进保护行为、疫苗接种以及向公众宣传风险带来了巨大的公共卫生传播挑战。根据态度和行为对受众进行细分是提高此类传播精准度和潜在效果的一种手段。本研究报告了英国卫生安全局(UKHSA)赞助的、涉及市场研究和学术专家合作的一项针对英格兰人口的受众细分工作。2022 年 1 月 4 日至 24 日,使用市场研究自选小组,在英格兰进行了一项横断面在线调查,共有 5525 名受访者(5178 名用于我们的分析)参与。另外还进行了 105 次电话访谈,以抽样调查没有上网或智能手机的人。受访者是按照人口统计学特征进行配额抽样,以确保代表性。主要分析技术是 k 均值聚类分析,辅以其他技术,包括多维标度和使用受访者以及样本标准化数据,以解决某些受访者群体因反应模式不同而产生的差异。根据人口统计学、行为自我报告、态度和沟通渠道变量对识别出的细分市场进行描述,并对各细分市场之间的差异进行了统计学检验。确定了七个细分市场,包括行为高度合规的明显不同的人群,以及几个相对不合规的人群。这些细分市场的特点是具有独特的人口统计、态度、行为、对信息来源的信任以及偏好的沟通渠道模式。通过比较过去两周报告的保护性行为和疫苗拒绝率的细分变量与一组人口统计学变量,进一步验证了细分,人口统计学变量的预测效果大约是单个七水平细分变量的四分之一。就管理意义而言,建议针对每个细分市场制定不同的沟通策略,说明理解公共卫生传播受众的丰富细分描述的优势。讨论了所使用方法的优缺点,以帮助指导未来的工作。