MétaCan
Menu
Back to cohort

Perfil sócio demográfico e áreas de desempenho ocupacional afetadas em pacientes pós-ave atendidos por um serviço de terapia ocupacional

2012· article· pt· W1993215265 on OpenAlexaboutno aff
Kátia Vanessa Pinto de Meneses, Jeanine Schuabb Duarte, Vanessa de Oliveira Alencar, Ana Carolina dos Santos Pereira

Bibliographic record

VenueRevista de Terapia Ocupacional da Universidade de São Paulo · 2012
Typearticle
Languagept
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyAutonomyPsychological interventionStroke (engine)MedicineGerontologyActivities of daily livingPsychologyPhysical therapyNursingPolitical science

Abstract

fetched live from OpenAlex

Background: Stroke (cerebrovascular accident; CVA) resulting in difficulty orinability to perform functional tasks and daily tasks, making it difficult or impossible to return towork, participation in family and community. Occupational therapy interventions help to improveskills in activities of daily life, encouraging greater independence, autonomy, social participationand quality of life. Objective: To identify socio-demographic profile of patients after stroke treatedin an occupational therapy service and identify the filds most affected occupational performance.Methodology: Cross-sectional study with patients with stroke. We used an interview to collectsociodemographic information and the Canadian Occupational Performance Measure (COPM).Results: 19 patients, 9 (47.3%) were female and 10 (52.6%) were male, aged between 36 and 74years (20-39 = 21%, 40-60 = 57.89%, > 60 = 21%). 13 (68.4%) were married or had stable union.Most had finished elementary school. Individuals reported 40 areas of occupational performanceproblems, the most quoted food and gear (self-care), cooking (productivity) and write (leisureactivities). Conclusion: The results indicate the importance of rehabilitative approaches that focuson performance in these areas most affected by stroke, in order to enable greater independence,autonomy and social participation.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.016
GPT teacher head0.273
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueRevista de Terapia Ocupacional da Universidade de São PauloSame topicStroke Rehabilitation and RecoveryFrench-language works237,207