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Record W4200479093 · doi:10.1111/1440-1630.12781

Clinical reasoning underlying acute care occupational therapists' assessment of rehabilitation potential after stroke or brain injury: A constructivist grounded theory study

2021· article· en· W4200479093 on OpenAlexafffundabout
Priscilla Lam Wai Shun, Bonnie Swaine, Carolina Bottari

Bibliographic record

VenueAustralian Occupational Therapy Journal · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
FundersFonds de Recherche du Québec - SantéCanadian Occupational Therapy FoundationCentre for Interdisciplinary Research in Rehabilitation
KeywordsRehabilitationOccupational therapyReferralGrounded theoryPsychologyConstructivist grounded theoryAcute carePhysical therapyPhysical medicine and rehabilitationClinical psychologyMedicineNursingHealth carePsychiatryQualitative research

Abstract

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INTRODUCTION: In acute care hospitals, clinicians are expected to rapidly provide recommendations regarding patients' rehabilitation potential and candidacy for postacute rehabilitation. Some studies have investigated factors influencing referral to rehabilitation, but few have examined clinical reasoning underlying referral decisions. This study aimed to investigate what occupational therapists were thinking about (factors influencing reasoning), how they reasoned (thought processes) when evaluating stroke or traumatic brain injury patients' rehabilitation potential, and how they decided on referral to postacute rehabilitation. METHODS: Using a constructivist grounded theory approach, the clinical reasoning of 10 acute care occupational therapists working in a large Canadian city was examined. Participant recruitment, data collection, and analysis were performed simultaneously following theoretical sampling procedures. Therapists' thoughts on patients' rehabilitation potential were collected twice (during chart consultation and initial patient assessment) using think-aloud protocols and semi-structured interviews. Constant comparison, memoing, and diagramming methods were employed during coding to help categorisation and conceptualisation. FINDINGS: Numerous patient, clinician, and organisation-related factors were found to influence clinical reasoning. Occupational therapists interpreted these factors in an attempt to (1) predict recovery, (2) estimate rehabilitation potential, and (3) determine rehabilitation candidacy. They used two types of thought processes: (1) building a representation of patients' rehabilitation potential (involving eight steps including gathering and interpreting factors); (2) activating bottom-up and top-down scripts (comparing the expected impact of impairments on activity performance to behaviours observed during activity performance). Furthermore, an algorithm was developed describing how occupational therapists decide on referral to postacute rehabilitation. CONCLUSION: Findings can be used to teach students and novice occupational therapists how to identify and interpret key factors in the assessment of stroke or traumatic brain injury patients' rehabilitation potential. Results also provide insight on cognitive processes that can be taught for efficient assessment of rehabilitation potential and decision-making regarding referral to postacute rehabilitation.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.191
GPT teacher head0.580
Teacher spread0.389 · 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

Citations9
Published2021
Admission routes3
Has abstractyes

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