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Record W2111640430 · doi:10.1155/2014/989025

Evaluation of a Community Reintegration Outpatient Program Service for Community-Dwelling Persons with Spinal Cord Injury

2014· article· en· W2111640430 on OpenAlexafffund
Alana Zinman, Nicole Digout, Patricia Bain, Sylvia Haycock, Debbie Hébert, Sander L. Hitzig

Bibliographic record

VenueRehabilitation Research and Practice · 2014
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsInstitute for Work & HealthUniversity Health NetworkToronto Rehabilitation InstituteUniversity of Toronto
FundersToronto Rehabilitation InstituteOntario Ministry of Health and Long-Term CareOntario Neurotrauma FoundationRick Hansen Institute
KeywordsPsychological interventionMedicineAffect (linguistics)AlgorithmPsychologyNursingComputer science

Abstract

fetched live from OpenAlex

Objective. To evaluate the effectiveness of a community reintegration outpatient (CROP) service for promoting well-being and community participation following spinal cord injury (SCI). Participants. Community-dwelling adults (N = 14) with traumatic and nontraumatic SCI. Interventions. The CROP service is a 12-week (1 × week; 120 minutes) interprofessional closed therapeutic education service. Main Outcome Measure(s). Moorong Self-Efficacy Scale (MSES); Impact on Participation and Autonomy (IPA); Positive Affect and Negative Affect Scale (PANAS); Coping Inventory of Stressful Situations (CISS); World Health Organization Quality of Life (WHOQOL-BREF); semistructured qualitative interviews. Methods. Twenty-one participants were recruited from two subsequent CROP services, with only 14 persons completing all data assessments. Data were collected at baseline (week 0), at exit (week 12), and at a three-month follow-up. Semistructured interviews were conducted at exit. Results. Self-efficacy (MSES) and positive affect (PANAS) improved from baseline to exit (P < .05), but the changes were not maintained at follow-up. Qualitative analysis identified four major themes related to therapeutic benefits: (1) role of self; (2) knowledge acquisition; (3) skill application; and (4) group processes. Conclusions. Participation in a therapeutic education service has the potential to improve well-being in persons with SCI, but there is a need to identify strategies to maintain long-term gains.

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)0.052
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0520.065
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.303
GPT teacher head0.557
Teacher spread0.255 · 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 designOther design
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

Citations26
Published2014
Admission routes2
Has abstractyes

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