Please assess the completion status of the following clinical trial:

Trial Title: Quell Opioid Reduction and Pain Relief in Patients With Cancer

Study Design Characteristics:
- Allocation: RANDOMIZED
- Intervention Model: PARALLEL
- Observational Model: None
- Primary Purpose: SUPPORTIVE_CARE
- Time Perspective: None
- Masking: DOUBLE
- Phase: None
- Number of Arms: 2.0

Eligibility Criteria:
Inclusion Criteria:~1. Male or Female greater than or equal to 18 year of age at visit one.~2. Documented diagnosis of metastatic breast, prostate or colorectal cancer with a prognosis of 6 month or greater as determined by the primary oncologist.~3. Visual evidence that subject owns a smart phone and is able to use basic mobile applications such as downloading an app, opening the app, and performing one simple task within the app.~4. Subject speaks and reads English fluently.~5. Subject able to understand and grant informed consent.~6. Live in an area with cellular data connectivity available as provided by the subject.~7. Documented adherence with clinic follow up visits per medical records.~8. Subject using at least one opioid medication on a daily basis.~Exclusion Criteria:~1. Subject has a cardiac pacemaker, implanted defibrillator or other implanted electronic device.~2. Inability to complete subjective data as required; e.g. on mobile application and questionnaires.~3. Does not live in an area with suitable cellular data connectivity.~4. Has infrequent scheduled clinic visits.

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

Study Arms:
- Quell Device (Type: ACTIVE_COMPARATOR): Quell is a class II medical device with FDA 510(k) clearance for the symptomatic relief and management of chronic intractable pain, without a prescription. It operates by using an electrical stimulator to activate peripheral sensory nerves and trigger analgesia.
- Sham Quell Device (Type: SHAM_COMPARATOR): Identical to Active Comparator, but provides sub-therapeutic electronic stimulation.

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