Please assess the completion status of the following clinical trial:

Trial Title: Church, Extension and Academic Partners Empowering Healthy Families

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: CROSSOVER
- Observational Model: None
- Primary Purpose: PREVENTION
- Time Perspective: None
- Masking: NONE
- Phase: None
- Number of Arms: 2.0

Eligibility Criteria:
Inclusion Criteria:~* a parent or primary caregiver and child (age 6-10) dyad living in the same household~* English-speaking~Exclusion Criteria:~* Parent does not have a child between the ages of 6 and 11~* Target child does not live or spend significant time with parent/caregiver~* non-English speaking

- Gender: ALL
- Minimum Age: 6 Years
- Maximum Age: None
- Healthy Volunteers: t

Study Arms:
- Healthy Children, Healthy Families+ (HCHF+) (Type: EXPERIMENTAL): HCHF+ integrates healthful eating and physical activity with parenting education (parent role modeling and child feeding practices) and was recently shown to improve parent and child nutrition behaviors for participants in the Expanded Food and Nutrition Education (EFNEP) program. OrganWise Guys (OWG) will be used for children in first and second grades (ages 6-8). Choose Health: Food, Fun and Fitness (CHFF), developed by Cornell University, will be used for children in grades three through five (ages 8-10). HCHF+ includes 9 sessions to be delivered weekly.
- MoneySmart (Type: ACTIVE_COMPARATOR): A financial education program available through the Federal Deposit Insurance Corporation. Money Smart includes programs for adults and school-aged children, a parent/caregiver guide and a train-the-trainer program. MoneySmart is an Extension-approved program designed to improve money-management practices and financial confidence for parents MoneySmart involves eight weekly sessions that includes one-to-two hour modules with take-home guides for adults. For children, there are eight sessions that include take-home worksheets and a parent/caregiver guide.

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