Preventing Depression Relapse: A Qualitative Study on the Need for Additional Structured Support Following Mindfulness-Based Cognitive Therapy
Bibliographic record
Abstract
Background: Mindfulness-based cognitive therapy (MBCT) is an effective group intervention for reducing rates of depression relapse. However, about one-third of graduates experience relapse within 1 year of completing the course. Objective: The current study aimed to explore the need and strategies for additional support following the MBCT course. Methods: We conducted 4 focus groups via videoconferencing, two with MBCT graduates (n = 9 in each group) and two with MBCT teachers (n = 9; n = 7). We explored participants' perceived need for and interest in MBCT programming beyond the core program and ways to optimize the long-term benefits of MBCT. We conducted thematic content analysis to identify patterns in transcribed focus group sessions. Through an iterative process, multiple researchers developed a codebook, independently coded the transcripts, and derived themes. Results: Participants said the MBCT course is highly valued and was, for some, "life changing." Participants also described challenges with maintaining MBCT practices and sustaining benefits after the course despite using a range of approaches (ie, community and alumni-based meditation groups, mobile applications, taking the MBCT course a second time) to maintain mindfulness and meditative practice. One participant described finishing the MBCT course as feeling like "falling off a cliff." Both MBCT graduates and teachers were enthusiastic about the prospect of additional support following MBCT in the form of a maintenance program. Conclusion: Some MBCT graduates experienced difficulty maintaining practice of the skills they learned in the course. This is not surprising given that maintained behavior change is challenging and difficulty sustaining mindfulness practice after a mindfulness-based intervention is not specific to MBCT. Participants shared that additional support following the MBCT program is desired. Therefore, creating an MBCT maintenance program may help MBCT graduates maintain practice and sustain benefits longer-term, thereby decreasing risk for depression relapse.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".