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Record W4390906237 · doi:10.1186/s40814-023-01435-7

A single-subject research design evaluating a co-created yoga program for adults with gynecologic cancer: feasibility study protocol

2024· article· en· W4390906237 on OpenAlexafffund
Jenson Price, Jennifer Brunet

Bibliographic record

VenuePilot and Feasibility Studies · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsInstitut du Savoir MontfortOttawa HospitalUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of CanadaNorth American Society for the Psychology of Sport and Physical Activity
KeywordsProtocol (science)Thematic analysisDescriptive statisticsFidelityProgram evaluationPsychologyClass (philosophy)MedicineQuality of life (healthcare)Medical educationPhysical therapyQualitative researchAlternative medicineNursingComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Worldwide, > 1.3 million adults are diagnosed with a gynecologic cancer each year, affecting their wellbeing and quality of life. This manuscript describes the protocol for a study that sought to assess the feasibility, acceptability, and fidelity of a community-based co-created yoga program and proposed evaluative methods, and estimate program effects on self-reported outcomes. METHODS: Using a multiple baseline single-subject research design with a follow-up phase (ABA), quantitative and qualitative data were collected from program participants and the instructor. Participants were randomly assigned to varying baseline lengths and completed weekly surveys for 3-5 weeks pre-program. Then, participants engaged in a bi-modal 12-week hatha yoga program consisting of 2 60-min group classes a week, with optional supplemental features (January-April, 2023). Participants completed surveys after classes 1, 12, and 24. All yoga classes were audio- and video-recorded. Post-program, participants completed surveys 1, 4, and 8 weeks after the last class and took part in a semi-structured interview 1 week after to discuss program acceptability, suitability, relevance, and potential benefits. Feasibility outcomes (i.e., recruitment, retention, and program adherence rates, engagement with optional program features) were tracked by the instructor assistant and study team during the study. The yoga instructor was interviewed about their experience delivering the program 2 weeks after the last class. PLANNED ANALYSIS: Feasibility outcomes will be analyzed using descriptive statistics. Interview transcripts will be coded using reflexive thematic analysis. Class recordings will be coded using duration and frequency coding. Survey responses for self-reported outcomes will be analyzed visually and using multilevel modeling. EXPECTED OUTCOMES: Data will help determine refinements, if any, required to the program and instructor guidebook, implementation approach, and proposed evaluation methods before scale-up projects and definitive trials are started. TRIAL REGISTRATION: ClinicalTrials.gov NCT05610982. November 3, 2022.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.656
GPT teacher head0.607
Teacher spread0.049 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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