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Record W2317917732 · doi:10.1177/030802260006301002

Home-Based Occupational Therapy: Stroke Patients' Satisfaction with Occupational Performance and Service Provision

2000· article· en· W2317917732 on OpenAlexaboutno aff
Louise Gilbertson, Peter Langhorne

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2000
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
FundersDartmouth College
KeywordsOccupational therapyMedicinePhysical therapyIntervention (counseling)Patient satisfactionService (business)Stroke (engine)Scale (ratio)Family medicineNursing

Abstract

fetched live from OpenAlex

This study evaluated a short post-discharge home-based occupational therapy service for stroke patients, including an assessment of the patients' satisfaction with occupational performance and service provision. A single-site, blind randomised controlled trial was conducted. One hundred and thirty-eight patients were randomly allocated to either a conventional outpatient follow-up or conventional services plus 6 weeks of home-based occupational therapy. The data were collected before discharge and at 7 weeks and 6 months after discharge using the Canadian Occupational Performance Measure (COPM), the Dartmouth COOP Charts, the London Handicap Scale and a patient satisfaction questionnaire. At 7 weeks the intervention group reported significantly greater changes in performance and satisfaction on the COPM, better emotional scores (Dartmouth COOP Charts) and improved work and leisure activity scores (London Handicap Scale). No other differences in subjective health status were described. By 6 months, the intervention group was more satisfied with several aspects of service provision but no other differences in subjective health experience were reported. A 6-week post-discharge home-based occupational therapy service can improve patients' perceptions of their occupational performance and satisfaction with services but may not have a long-term effect on subjective health outcomes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.292
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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

Citations32
Published2000
Admission routes1
Has abstractyes

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