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Record W2055343465 · doi:10.3109/07380577.2012.725509

Exploring Arising Moments and Mindfulness in Occupational Therapists Working in Diverse Clinical Practice Areas

2012· article· en· W2055343465 on OpenAlexaffabout
Denise Reid, Zahid Naseer

Bibliographic record

VenueOccupational Therapy In Health Care · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMindfulnessOccupational therapyMental healthPsychologyClinical PracticeClinical psychologyPsychotherapistMedicinePsychiatryNursing

Abstract

fetched live from OpenAlex

An online survey was conducted with 72 Canadian occupational therapists to (1) explore if and how occupational therapists were aware of "arising moments" in clinical practice, which are moments that give rise to emotions, sensations, and thoughts, and (2) to examine therapists' responses to questions related to mindfulness. Participants described arising moments through an open-ended survey question. Framework analysis was used to develop key themes and subthemes. A modified Philadelphia Mindfulness Awareness (PHLMS) subscale with two additional survey questions "understanding of living in the moment and being present, and awareness of mindfulness" (sum = PAM) were used as indicators of mindfulness. There were significant differences in the means of PHLMS mindfulness among therapists working in diverse practice areas (F = 3.63, p = .009). Posthoc analysis revealed that therapists working in mental health had higher mean PHLMS-mindfulness scores than in all other groups. There were no significant differences in PAM mindfulness among the practice areas (ANOVA, F = 2.15, p = .08). However, posthoc tests showed that the participants in the mental health practice area had a significant difference with one group, general physical health. Findings have implications for practice in occupational therapy and education about mindfulness in occupational therapy.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.002
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 head0.551
GPT teacher head0.583
Teacher spread0.032 · 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 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

Citations4
Published2012
Admission routes2
Has abstractyes

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