Please assess the completion status of the following clinical trial:

Trial Title: Assessing the Impact of myHealth Rewards Program-related Communications on Enrollment: Replication

Study Design Characteristics:
- Allocation: None
- Intervention Model: None
- Observational Model: CASE_CONTROL
- Primary Purpose: None
- Time Perspective: PROSPECTIVE
- Masking: None
- Phase: None
- Number of Arms: None

Eligibility Criteria:
Inclusion Criteria:~* Geisinger Health Plan members~* Geisinger Health System employees who have not yet enrolled in myHealth Rewards~Exclusion Criteria:~* Enrollment in myHealth Rewards before the email launch date for each wave~* Do not have an email address on file

- Gender: ALL
- Minimum Age: 18 Years
- Maximum Age: None
- Healthy Volunteers: t

Study Arms:
- Standard email (Type: None): This email mentions the cost-saving benefits of enrollment by participants who met their 2018 goals. It also includes the message that registration can be completed quickly (in less than five minutes). Finally, it also includes reward incentive information, wherein registering by a March deadline provides qualified recipients with the potential to win prizes. This information is contained in all other emails.
- Loss frame email (Type: None): In addition to the content of the generic email, the subject line and content of the loss frame email recommends that GHP members not throw away a precise dollar amount in savings (over $2,000) by not participating and that they can therefore avoid missing out on substantial gains (i.e., savings) by taking action. This email further frames the reward as something recipients will miss out on if they do not sign up.~This intervention frames the status quo as a state from which recipients, via inaction, are slated to forfeit a sizable and precise monetary amount to which they should otherwise feel entitled (via loss aversion and the endowment effect). People tend to be risk-seeking in the domain of losses; therefore, this intervention is hypothesized to increase enrollment in the hope of achieving zero loss by meeting program goals, as opposed to a sure loss via inaction.
- Testimonial (medical expert) email (Type: None): In addition to the content of the generic email, the testimonial (medical expert) email includes a testimonial from a doctor, which notes the personal benefits of myHealth Rewards in terms of managing blood pressure, blood sugar, cholesterol, weight, and stress.~This intervention shows proof of other people successfully enrolling and benefitting from the program. Specifically, it is an endorsement from a presumed authority figure. Recipients may be more likely to enroll for this program if they see a physician - who would be seen as an authority on health and wellness - talking about the medical benefits of the program. It is unclear in the current context and population if a message from an expert or rank-and-file employee would be more effective.
- Testimonial (rank-and-file) email (Type: None): In addition to the content of the generic email, the testimonial (rank-and-file) email includes a testimonial from a customer care specialist, which notes the personal benefits of myHealth Rewards in terms of managing blood pressure, blood sugar, cholesterol, weight, and stress.~This intervention shows proof of other people successfully enrolling and benefitting from the program. Specifically, it is an endorsement from a peer (relative to most Geisinger employees). Recipients may be more likely to enroll for this program if they see a rank-and-file employee talking about the program as this person would be more relatable (relative to a doctor). It is unclear in the current context and population if a message from an expert or rank-and-file employee would be more effective.
- Social norms (percentage) email (Type: None): In addition to the content of the generic email, the social norms (percentage) email will include communication about the percentage of benefit-eligible employees who had already registered for myHealth Rewards.~This message sets up a descriptive norm, showing that a majority of people are doing a certain behavior. When people see a behavior as the norm, they are more likely to follow it. The use of percentages makes it clear that this behavior is indeed being done by most people in the group. It is unclear in the current context and population if a message using percentages or numbers would be more effective.
- Social norms (number) email (Type: None): In addition to the content of the generic email, the social norms (number) email will include communication about the number of benefit-eligible employees who had already registered for myHealth Rewards.~This message sets up a descriptive norm, showing that a large number of people are doing a certain behavior. When people see a behavior as the norm, they are more likely to follow it. While the use of numbers does not indicate that this behavior is being done by a majority, using a large number can be more convincing just in showing sheer quantity.

Based on this trial design, predict the completion outcome and termination type (if applicable).