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Record W3211959921 · doi:10.1177/00084174211060120

Hand Therapy Patients’ Psychosocial Symptomology and Interests in Mindfulness: A Cross-Sectional Study

2021· article· en· W3211959921 on OpenAlexvenueno aff
Mark E. Hardison, Jennifer B. Unger, Shawn C. Roll

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2021
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessPsychosocialPsychological interventionMeditationCross-sectional studyClinical psychologyAnxietyMedicineIntervention (counseling)Mindfulness meditationOccupational therapyPhysical therapyPsychologyPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Background: Psychosocial sequelae are common for individuals with physical injuries to the upper extremity. However, psychosocially oriented interventions are not common in this occupational therapy practice area. Purpose: This study implemented an online survey of hand therapy patients’ psychological symptoms. Second, it explored patients’ interest in one psychosocially oriented intervention: mindfulness meditation. Methods: The design was a cross-sectional survey of 120 consecutively recruited hand therapy patients. Survey measures included functioning, psychosocial factors, and trait mindfulness. Findings: Anxiety was prevalent in this sample, and moderately correlated with trait mindfulness (r = −0.542, p < .001). While most participants (77%) indicated mindfulness meditation would be an acceptable intervention, women were 2.8 times as likely to be interested ( p = .044). Implications: Psychosocially oriented interventions are indicated in hand therapy based on the prevalence of these symptoms. Further examination of using mindfulness meditation in hand therapy is warranted due to patient interest.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.119
GPT teacher head0.422
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2021
Admission routes1
Has abstractyes

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