Social Media Recruitment Strategies to Recruit Pregnant Women into a Longitudinal Observational Cohort Study: An Evaluation (Preprint)

Author:

Pekarsky ChloeORCID,Skiffington Janice,Metcalfe Amy

Abstract

BACKGROUND

The use of social media for study recruitment is increasingly common. Previous studies have typically focused on using Facebook; however, there is limited data to support the use of other social media platforms for participant recruitment, notably in the context of a pregnancy study.

OBJECTIVE

This study aimed to evaluate the effectiveness of Facebook, Twitter, and Instagram for recruiting a representative sample of pregnant women into a longitudinal pregnancy cohort study in Calgary, Alberta between September 27, 2021 and April 24, 2022.

METHODS

Paid advertisements were targeted to 18 to 50 year-old women in Calgary with interests in pregnancy. Data regarding reach, link clicks and cost were collected through Facebook Ads Manager and Twitter Analytics. The feasibility of each platform for recruitment was assessed based on recruitment rate and cost-effectiveness. Demographic characteristics of the participants recruited through each source were compared using chi-square tests.

RESULTS

Paid advertisements reached 159,778 social media users, resulting in 2390 link clicks and 324 recruited participants. Facebook reached and recruited the most participants, while Instagram saw the highest number of link clicks relative to the number of users who saw the advertisement (2.11%). Facebook and Instagram advertisements were cost-effective with an average cost-per-click of $0.61 and cost-per-completer of $7.89. Twitter advertisements were less successful in terms of recruitment and cost. Demographic characteristics of participants did not differ based on recruitment source except for educational attainment and income, where more highly educated and higher income participants were recruited through Instagram or Twitter.

CONCLUSIONS

Paid social media advertisements (especially Facebook and Instagram) were feasible and cost-effective methods for recruiting a large sample of pregnant women for survey research. However, future researchers should be aware of the potential for fraudulent responses when using social media for recruitment.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3