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Record W4401691449 · doi:10.1371/journal.pone.0308800

Early Occupational Therapy Intervention post-stroke (EOTIPS): A randomized controlled trial

2024· article· en· W4401691449 on OpenAlexaboutno aff
Patricia García-Pérez, María del Carmen Rodríguez-Martínez, Alejandro Gallardo-Tur, Encarnación Blanco‐Reina, Carlos de la Cruz Cosme, José Pablo Lara

Bibliographic record

VenuePLoS ONE · 2024
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
FundersUniversidad de Málaga
KeywordsRandomized controlled trialMedicineStroke (engine)Occupational therapyPhysical therapyIntervention (counseling)Physical medicine and rehabilitationInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Occupational therapy (OT) is an effective evidence-based intervention that positively influences stroke patients'independence recovery, leading to new opportunities for better quality of life outcomes. OBJECTIVES: To explore the effectiveness of an early OT intervention program (EOTIPS) in the process of hospital to home discharge after stroke in Spain. MATERIAL AND METHODS: We conducted a prospective, randomized controlled clinical trial that included 60 adults who suffered a stroke and were discharged home. Participants assigned to the experimental group (n = 30) were included in EOTIPS and compared with a control group (n = 30). Evaluations assessed quality of life (Stroke and Aphasia Quality of Life Scale [SAQOL-39]), functional independence (Modified Rankin Scale [mRS], Barthel Index [BI] and Stroke Impact Scale-16 [SIS-16]), perceptual-cognitive skills (Montreal Cognitive Assessment [MoCA]), upper limb function (Fugl Meyer Assessment [FMA]), mobility (Berg Balance Scale [BBS] and Timed Up & Go [TUG]), communication skills (Communicative Activity Log [CAL]) and mood disorders (Beck Depression Inventory-II [BDI-II] and Hamilton Anxiety Scale [HAM-A]); they were completed within two weeks post-stroke and after three months follow-up. Statistical analysis included intent-to-treat analysis, considering all participants (dropouts as failures), and efficacy analysis, considering only end-of-treatment participants. RESULTS: Participants in the intervention group showed a significant better evolution in the main outcome measure of quality of life (SAQOL-39 p = .029), as well as for independence (mRSp = .004), perceptual-cognitive skills (MoCA p = .012)and symptoms of depression (BDI-II p = .011) compared to the control group. CONCLUSIONS: EOTIPS was effective in improving quality of life, as well as enhancing perceptual-cognitive skills, independence and reducing levels of depression for patients who suffered a stroke in a Spanish cohort and could be considered as an applicable non-pharmacologic therapeutic tool that can lead to patients' positive outcomes after stroke. This study was registered on ClinicalTrials.gov with the identifier NCT04835363.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.038
GPT teacher head0.301
Teacher spread0.263 · 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 designRandomized trial
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

Citations13
Published2024
Admission routes1
Has abstractyes

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