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Record W2037521878 · doi:10.1177/000841740106800106

Occupational Therapy Practice Patterns with Older Swedish Persons at Home

2001· article· en· W2037521878 on OpenAlexvenueno aff
Margareta Lilja, Lena Borell

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2001
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyPsychological interventionIntervention (counseling)MedicineWelfareGerontologyActivities of daily livingSocial WelfareHealth careNursingPhysical therapy

Abstract

fetched live from OpenAlex

This paper explores and describes occupational therapy practice patterns during two periods for 89 elderly persons living at home. Occupational therapists working in one social welfare district in Stockholm, Sweden documented and reported every occupational therapy intervention provided. The results revealed that the elderly persons who received occupational therapy services during an extended period had an age span of 30 years, with a mean age over 80 years. They had several medical problems and were living in different types of settings. Occupational therapists provided a wide range of interventions, most frequently categorised as treatment, especially related to leisure activities. Irrespective of level of care, the median of interventions per person increased or was the same over time, and 72% of the elderly persons remained at the same level of care. Enabling occupation for elderly disabled person living in their home involves constantly adjusting to the current situation since the clients' capacities, goals and environment change over time. Therefore, occupational therapists need to have a client-centred approach working in home health community services.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.263
GPT teacher head0.495
Teacher spread0.232 · 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

Citations2
Published2001
Admission routes1
Has abstractyes

Explore more

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