Please assess the completion status of the following clinical trial:

Trial Title: Mindfulness-Based Cognitive Therapy for Suicide Prevention

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

Eligibility Criteria:
Inclusion Criteria:~The following criteria were formulated to recruit a sample at high risk for suicide behavior.~* The subject has experienced a suicidal event during the past 30 days. A suicidal event involves~  * 1) psychiatric hospitalization due to suicidal risk,~ * 2) psychiatric hospitalization if subject was already on the High Risk for Suicide List,~ * 3) suicidal ideation with suicidal intent,~ * 4) suicidal preparatory behaviors, or~ * 5) actual, interrupted, or aborted suicide attempt.~AND~* The subject is on or will be placed on the VA High Risk for Suicide List~  * OR The subject had an actual, interrupted, or aborted attempt in the last year~ * OR In the study clinician's opinion (i.e., Masters or Doctoral level study personnel with formal mental health training) in consultation with the PI, the suicidal event is significant enough to warrant treatment to reduce suicidal risk.~Exclusion Criteria:~* cognitive deficits that decrease the likelihood of benefit from MBCT-S~* severe symptoms of hallucinations or delusions~* disorganized or disruptive behaviors~* medically unstable~* current mindfulness-based psychotherapy or receipt of 2 or more sessions of a mindfulness-based psychotherapy in the last 12 months

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

Study Arms:
- Mindfulness-Based Cognitive Therapy + Treatment As Usual (Type: ACTIVE_COMPARATOR): Psychotherapeutic intervention that integrates mindfulness meditation with Safety Planning, with a specific focus on reducing suicide risk.
- Treatment As Usual (Type: OTHER): VA standard care for suicide prevention

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