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利用营销自动化实现加利福尼亚教师研究队列的数据收集现代化。

Using Marketing Automation to Modernize Data Collection in the California Teachers Study Cohort.

机构信息

Department of Computational and Quantitative Medicine, City of Hope, Duarte, California.

Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.

出版信息

Cancer Epidemiol Biomarkers Prev. 2020 Apr;29(4):714-723. doi: 10.1158/1055-9965.EPI-19-0841. Epub 2020 Feb 13.

Abstract

BACKGROUND

Like other cancer epidemiologic cohorts, the California Teachers Study (CTS) has experienced declining participation to follow-up questionnaires; neither the reasons for these declines nor the steps that could be taken to mitigate these trends are fully understood.

METHODS

The CTS offered their 6th study questionnaire (Q6) in the fall of 2017 using an integrated, online system. The team delivered a Web and mobile-adaptive questionnaire to 45,239 participants via e-mail using marketing automation technology. The study's integrated platform captured data on recruitment activities that may influence overall response, including the date and time invitations and reminders were e-mailed and the date and time questionnaires were started and submitted.

RESULTS

The overall response rate was 43%. Participants ages 65 to 69 were 25% more likely to participate than their younger counterparts (OR = 1.25; 95% CI, 1.18-1.32) and nonwhite participants were 28% less likely to participate than non-Hispanic white cohort members (OR = 0.72; 95% CI, 0.68-0.76). Previous questionnaire participation was strongly associated with response (OR = 6.07; 95% CI, 5.50-6.70). Invitations sent after 2 pm had the highest response (OR = 1.75; 95% CI, 1.65-1.84), as did invitations sent on Saturdays (OR = 1.48; 95% CI, 1.36-1.60).

CONCLUSIONS

An integrated system that captures paradata about questionnaire recruitment and response can enable studies to quantify the engagement patterns and communication desires of cohort members.

IMPACT

As cohorts continue to collect scientific data, it is imperative to collect and analyze information on how participants engage with the study.

摘要

背景

与其他癌症流行病学队列一样,加利福尼亚教师研究(CTS)经历了参与后续问卷调查的人数下降;对于这些下降的原因,以及可以采取哪些措施来减轻这些趋势,都没有充分的了解。

方法

CTS 于 2017 年秋季使用集成的在线系统提供了第 6 次研究问卷(Q6)。该团队使用营销自动化技术通过电子邮件向 45239 名参与者发送了一个网络和移动自适应问卷。该研究的集成平台捕获了可能影响总体响应的数据,包括邀请和提醒的发送日期和时间以及问卷开始和提交的日期和时间。

结果

总体响应率为 43%。65 至 69 岁的参与者参与的可能性比年轻参与者高 25%(OR = 1.25;95%CI,1.18-1.32),非白种参与者参与的可能性比非西班牙裔白人队列成员低 28%(OR = 0.72;95%CI,0.68-0.76)。之前的问卷参与与响应密切相关(OR = 6.07;95%CI,5.50-6.70)。下午 2 点以后发送的邀请响应最高(OR = 1.75;95%CI,1.65-1.84),星期六发送的邀请响应也较高(OR = 1.48;95%CI,1.36-1.60)。

结论

一个集成的系统,能够捕获关于问卷招募和响应的 paradata,可以使研究能够量化队列成员的参与模式和沟通意愿。

影响

随着队列继续收集科学数据,收集和分析参与者如何参与研究的信息是至关重要的。

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