Incentives & Motivation for Behavior Change: Survey-embedded Experiments
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 4,000
- 试验地点
- 2
- 主要终点
- measure of whether they are interested in RCT enrollment (for sleep or exercise)
研究概览
简要总结
In a series of controlled, randomized experiments, we will systematically manipulate exposure to health-related messages and/or survey methods to examine the effects on behavioral intention.
There are various strategies used to influence health-related decision making and the effects of health behavior have had mixed results. In particular, incentive-based interventions have often failed to increase healthy behavior. We will examine 1) the role of behavioral motivation to increase sleep or exercise and 2) current levels of sleep or exercise when predicting who is interested in a mock RCT invitation to increase each behavior using financial or social incentives.
In addition to the above focus on sleep and exercise, we will also examine another important health behavior: vaccination. Embedded within experiments studying effects of incentives on vaccination decisions, will conduct methodological tests. In particular, we will estimate the effects of using different methods of measuring the study outcome (vaccine intention).
详细描述
Incentives for Sleep and Exercise:
This experiment will estimate enrollment bias for randomized clinical trials offering to incentivize behavior change. In this experiment, we will test whether those who are most motivated to change behavior are also most likely to enroll in a (hypothetical) RCT when offering financial or social incentives for behavior change.
We hypothesize that those most likely to enroll are already motivated to change their behavior prior to enrollment, which could be bias trials towards the null. We will test this hypothesis by estimating if motivation to change a behavior predicts interest in joining RCT targeting that behavior. We will also test if baseline behavior predicts interest in joining these RCT.
We will conduct this experiment using mock invitations to learn about and potentially join a RCT. The study outcome will be responses to this invitation. We will not offer invitations to an actual trial, but the stimuli (mock invitations to a "ghost" trial) and task (response to the invitation) fundamentally resemble a trial's counterparts. The invitations will specify an opportunity to earn financial or social incentives for improving a healthy behavior.
We will invite participants to earn financial or non-financial incentives for increasing their sleep or exercise. In this study, the primary outcome will measure if they were "not interested," "slightly interested," or "very interested" in participating.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Single (Participant)
盲法说明
The participant will not know the s/he has been randomized to a particular condition. S/he will not know about the other conditions, or the differences between them.
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Adults (18 years or older)
- •residing in the US
- •unvaccinated for COVID-19
排除标准
- •those living outside the US
- •vaccination
研究组 & 干预措施
specific vaccine policy 1
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: mandate public (Behavioral)
specific vaccine policy 2
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: employer mandate (Behavioral)
specific vaccine policy 3
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: incentive reward (Behavioral)
Specific vaccine policy 4
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: cash large (Behavioral)
specific vaccine policy 5
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: penalty (Behavioral)
specific vaccine policy 6
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: incentive lottery small (Behavioral)
specific vaccine policy 7
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: incentive lottery medium (Behavioral)
specific vaccine policy 8
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: incentive lottery large (Behavioral)
specific vaccine policy 9
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: cash small (Behavioral)
specific vaccine policy 10
Those in this arm will learn about a specific financial incentive or mandate policy.
干预措施: cash medium (Behavioral)
sleep financial incentive
Those in this arm will invite adults to join an RCT that uses financial incentives to reward those who increase their sleep.
干预措施: invitation for sleep financial incentive (Behavioral)
sleep social incentive
Those in this arm will invite adults to join an RCT that uses social (gamification) incentives to reward those who increase their sleep.
干预措施: invitation for sleep social incentive study (Behavioral)
exercise financial incentive
Those in this arm will invite adults to join an RCT that uses financial incentives to reward those who increase their exercise.
干预措施: invitation for exercise financial incentive study (Behavioral)
exercise social incentive
Those in this arm will invite adults to join an RCT that uses social incentives to reward those who increase their exercise.
干预措施: invitation for exercise social incentive study (Behavioral)
结局指标
主要结局
measure of whether they are interested in RCT enrollment (for sleep or exercise)
时间窗: through the duration of the experiment: less than 1 day
subjects will select a response option to indicate if they are "not interested," "slightly interested," or "very interested"
measure of decision (vaccine intention)
时间窗: through the duration of the experiment: less than 1 day
subjects select a response option from a 2 ("yes" or "no") or 3 (yes, no, unsure) level response set
次要结局
- likelihood of behavior(through the duration of the experiment: less than 1 day)
研究者
Jessica Fishman, PhD
Senior Research Investigator
University of Pennsylvania
