Please assess the completion status of the following clinical trial:

Trial Title: Changing the Healthcare Delivery Model

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

Eligibility Criteria:
Inclusion Criteria:~* Age 21 to 75 years old~* Medicaid insurance coverage, Medicare insurance coverage or Affordable Health Care Act insurance coverage~* Fluent in English or Spanish and able to read a text message~* Diagnosed with diabetes mellitus type 2 and A1C is \> 8%~Acceptable values will be either :~* A1c obtained within one month prior to baseline (as long as there were no diabetes changes made during that month) or~* A new A1c measured at the baseline screening visit.~* Meets \< 10 of the wellness behaviors and clinical goals if diagnosed with hypertension Meets \< 9 of the wellness behaviors and clinical goals if not diagnosed with hypertension~Exclusion Criteria:~* Stage 5 chronic kidney disease or end stage renal disease on dialysis~* Terminal illness (expected survival of less than one year)~* Severe dementia or uncontrolled mental illness~* Gestational diabetes mellitus~* Use of an insulin pump~* Inability to use a cellular phone~* Unable to use software application on cellular phone~* Pregnant or planning to get pregnant

- Gender: ALL
- Minimum Age: 21 Years
- Maximum Age: 75 Years
- Healthy Volunteers: f

Study Arms:
- Mobile health care application (Type: ACTIVE_COMPARATOR): Patients will be assisted with managing their health by a cell phone application used to promote self care for patients with diabetes.
- Community Health Worker (CHW) (Type: ACTIVE_COMPARATOR): CHWs assist study patients in managing there health care in various ways.
- CHWs and mobile health care application (Type: EXPERIMENTAL): Patients will receive assistance in managing their health from both CHWs and the mobile health cell phone application

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