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Record W2342851398 · doi:10.1186/s40814-016-0064-0

Behavioral activation group therapy for reducing depressive symptoms and improving quality of life: a feasibility study

2016· article· en· W2342851398 on OpenAlexafffund
Zainab Samaan, Brittany B. Dennis, Lindsay Kalbfleisch, Herman Bami, Laura Zielinski, Monica Bawor, Kathryn Litke, Kathleen McCabe, Jeff Whattam, Laura Garrick, Laura O’Neill, Terri Ann Tabak, Scott Simons, Sandra Chalmers, Brenda L. Key, Meredith Vanstone, Feng Xie, Gordon Guyatt, Lehana Thabane

Bibliographic record

VenuePilot and Feasibility Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsPopulation Health Research InstituteMcMaster UniversityCentre for Health Evaluation and Outcome SciencesSt. Joseph’s Healthcare Hamilton
FundersInstitute of Neurosciences, Mental Health and AddictionCanadian Institutes of Health Research
KeywordsBehavioral activationMoodRandomized controlled trialQuality of life (healthcare)Depression (economics)Major depressive disorderFocus groupGroup psychotherapyPsychologyClinical psychologyCognitionPsychiatryMedicinePsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: Depression is associated with a loss of productivity and noticeable personal, social, and economic decline; it affects more than 350 million people worldwide. Behavioral activation (BA), derived from cognitive behavioral therapy, has drawn increasingly more interest as a means of treatment for major depressive disorder due to its relative cost-effectiveness and efficacy. In this study, we disseminate findings from a feasibility study evaluating barriers to implementing a group BA program for major depressive disorder. The purpose of this feasibility study is to assess both patient and clinician perceptions on components of a group-based behavioral activation (BA) program. In particular, this feasibility study provides in-depth evaluation of the acceptability of BA prior to the design and implementation of a randomized trial to investigate BA effectiveness. Findings from this study directly informed decisions regarding the design and implementation of BA during the pilot trial. Specific components of BA were assessed and modified based on the results of this study. METHODS: This qualitative study was completed through the Mood Disorders Program at St. Joseph's Healthcare Hamilton. The authors of this study used data from two focus group sessions, one consisting of an interdisciplinary group of clinicians working in the Mood Disorders Program, and the other of registered outpatients of the Mood Disorders Program with a confirmed clinical diagnosis of depression. The benefits of offering this program in a group format, mainly social skill development opportunities and the use of technology such as activity tracking device, smart phones, and tablets during the therapy sessions, are a major focus of both the clinician and patient groups. Both groups emphasized the importance of offering sustainable activation. RESULTS: Differences in opinions existed between staff and patient groups regarding the use of technology in the program, though ultimately it was agreed upon that technology could be useful as a therapeutic aid. All participants agreed that behavioral activation was essential to the development of positive habits and routines necessary for recovery from depression. Patients agreed the program looked sustainable and stressed the potential benefit for improving depressive symptoms. CONCLUSIONS: Discussions from clinician and patient-centered focus groups directly informed decisions regarding the design and implementation of BA during the pilot trial. Specific components of BA were assessed and modified based on the results of this study. These findings provide insight for clinicians providing behavioral activation programming, and will serve as a framework for the development of the Out of the Blues program, a group-based BA program to be piloted in the Mood Disorders Program at St. Joseph's Healthcare Hamilton. TRIAL REGISTRATION: Clinical Trials registration number NCT02045771.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.386
GPT teacher head0.518
Teacher spread0.132 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations19
Published2016
Admission routes2
Has abstractyes

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