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Record W2028003028 · doi:10.1186/1472-6882-14-95

Mindfulness-based cognitive therapy (MBCT) versus the health-enhancement program (HEP) for adults with treatment-resistant depression: a randomized control trial study protocol

2014· article· en· W2028003028 on OpenAlexaff
Stuart J. Eisendrath, Erin Gillung, Kevin Delucchi, Maggie Chartier, Daniel H. Mathalon, J. C. Sullivan, Zindel V. Segal, Mitchell D. Feldman

Bibliographic record

VenueBMC Complementary and Alternative Medicine · 2014
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsUniversity of Toronto
FundersNational Center for Complementary and Integrative HealthNational Center for Complementary and Alternative MedicineNational Institutes of Health
KeywordsMindfulness-based cognitive therapyMedicineMindfulnessRandomized controlled trialMajor depressive disorderDepression (economics)Treatment-resistant depressionPopulationClinical trialPsychiatryPharmacotherapyCognitive therapyInternal medicineClinical psychologyMood

Abstract

fetched live from OpenAlex

BACKGROUND: Major depressive disorder (MDD) is the leading cause of disability in the developed world, yet broadly effective treatments remain elusive. Up to 40% of patients with depression are unresponsive to at least two trials of antidepressant medication and thus have "treatment-resistant depression" (TRD). There is an urgent need for cost-effective, non-pharmacologic, evidence-based treatments for TRD. Mindfulness-Based Cognitive Therapy (MBCT) is an effective treatment for relapse prevention and residual depression in major depression, but has not been previously studied in patients with TRD in a large randomized trial. METHODS/DESIGN: The purpose of this study was to evaluate whether MBCT is an effective augmentation of antidepressants for adults with MDD who failed to respond to standard pharmacotherapy. MBCT was compared to an active control condition, the Health-Enhancement Program (HEP), which incorporates physical activity, functional movement, music therapy and nutritional advice. HEP was designed as a comparator condition for mindfulness-based interventions to control for non-specific effects. Originally investigated in a non-clinical sample to promote stress reduction, HEP was adapted for a depressed population for this study. Individuals age 18 and older with moderate to severe TRD, who failed to respond to at least two trials of antidepressants in the current episode, were recruited to participate. All participants were taking antidepressants (Treatment as usual; TAU) at the time of enrollment. After signing an informed consent, participants were randomly assigned to either MBCT or HEP condition. Participants were followed for 1 year and assessed at weeks 1-7, 8, 24, 36, and 52. Change in depression severity, rate of treatment response and remission after 8 weeks were the primary outcomes measured by the clinician-rated Hamilton Depression Severity Rating (HAM-D) 17-item scale. The participant-rated Quick Inventory of Depression Symptomology (QIDS-SR) 16-item scale was the secondary outcome measure of depression severity, response, and remission. DISCUSSION: Treatment-resistant depression entails significant morbidity and has few effective treatments. We studied the effect of augmenting antidepressant medication with MBCT, compared with a HEP control, for patients with TRD. Analyses will focus on clinician and patient assessment of depression, participants' clinical global impression change, employment and social functioning scores and quality of life and satisfaction ratings. TRIAL REGISTRATION: ClincalTrials.gov identifier: NCT01021254.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.277
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.084
GPT teacher head0.437
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations44
Published2014
Admission routes1
Has abstractyes

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