Evaluation of an Email Intervention Promoting COVID-19 Vaccination Among Healthcare Workers
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 9,566
- 试验地点
- 2
- 主要终点
- Number of Employees Who Scheduled Vaccination Appointments After 3 Days
研究概览
简要总结
In this evaluation, two versions of emails will be sent to Geisinger employees who have not been vaccinated against COVID-19. A delayed-contact control group will be emailed after a delay of at least two days. The researchers hypothesize that either of the emails - which use content informed by behavioral nudge theory - will lead to more COVID-19 vaccinations than the delayed-contact control group.
详细描述
The researchers aim to evaluate the effectiveness of email reminders in promoting COVID-19 vaccinations among Geisinger employees. The project will compare two emails, which will vary in the subject line and email content. Both emails will test different approaches that draw from principles in behavioral science: social proof, reframing, and scarcity. Employees receiving these emails will be compared with employees in a delayed-contact group, who will not receive emails. Employees in the control group will later receive one of the emails.The responses to the emails will help determine the communications later sent to the control group.
All emails will ask recipients if they want to receive a COVID-19 vaccination. If they click on a hyperlink indicating yes, they will be forwarded to an online registration and scheduling homepage. If they click on a hyperlink indicating no, they will be forwarded to an online questionnaire surveying people about their main reason for declining the vaccine at this time. The questionnaire will automatically present information intended to assuage the specific concern that people endorse, followed by a hyperlink to the scheduling site.
The data will be analyzed with logistic regression models with the control group as the reference group, to compare the two email conditions versus the control group. This set of analyses will only be conducted for scheduling a vaccination appointment as opposed to email engagement outcomes (e.g., number of emails opened), which will not be applicable for the control group. A second set of logistic regression models predicting scheduling a vaccination appointment and email engagement will also be run, comparing the two email conditions against each other. The data will be examined two days later (to help decide which email to send to the delayed-control group) and four days later (when the policy for employee vaccination will change, making the content of the email irrelevant).
Update: The researchers looked at 3 days of data - as the emails to the delayed contact group were only sent at that time - and 4 days of data when the policy for employee vaccinations changed.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- Double (Participant, Care Provider)
盲法说明
Participants will not know what group they are in. The relevant care provider (either their primary care provider or provider administering the vaccine) will not know about this study or assignment into groups.
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Employees at Geisinger Health System who have not gotten a COVID-19 vaccination
排除标准
- 未提供
结局指标
主要结局
Number of Employees Who Scheduled Vaccination Appointments After 3 Days
时间窗: 3 days
Binary variable of a scheduled vaccination appointment 3 days after the emails were sent
次要结局
- Number of Employees Who Opened Emails After 3 Days(3 days)
- Number of Employees Who Clicked Scheduling Links After 3 Days(3 days)
研究者
Michelle N. Meyer
Faculty Co-Director, Behavioral Insights Team
Geisinger Clinic