Please assess the completion status of the following clinical trial:

Trial Title: Efficacy Trial of the FMF Connect Mobile Health Intervention

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: PARALLEL
- Observational Model: None
- Primary Purpose: TREATMENT
- Time Perspective: None
- Masking: SINGLE
- Phase: None
- Number of Arms: 3.0

Eligibility Criteria:
Inclusion Criteria:~* Biological parent or other primary caregiver (e.g., foster or adoptive parent, relative, legal guardian) of a child with FASD or prenatal alcohol exposure (PAE)~* The parent/caregiver must be at least 18 years old~* The child must between the ages of 3 and 12 years old~* The child has a diagnosis of FASD or has confirmed PAE~* The child has lived with the parent/caregiver for at least 4 months and is expected to remain in the home for at least 1 year~* The parent/caregiver lives in the United States~* The parent/caregiver has a smartphone or ipad with iOS operating system~Exclusion Criteria:~* The parent/caregiver is not fluent in English (the FMF Connect app and pre-post measures are currently only available in English)~* There is another parent/caregiver of the same child or living in the home that is already enrolled in the study (couples are excluded to prevent dependence in the data)~* The family has previously received or is currently receiving the therapist-led Families Moving Forward (FMF) Program

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

Study Arms:
- FMF Connect Intervention + Coaching (Type: EXPERIMENTAL): Participants receive the FMF Connect mobile health app plus text-based coaching to support continued use of the app and individualized goal setting.
- FMF Connect Intervention (no coaching) (Type: EXPERIMENTAL): Participants receive the FMF Connect mobile health app. They do not receive coaching.
- Waitlist comparison group (Type: NO_INTERVENTION): Participants receive the FMF Connect mobile health app at the conclusion of the study.

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