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Record W2329891719 · doi:10.15373/22778179/jul2012/52

A Study to Find out the Prevalence and Effectiveness of Occupational Therapy Intervention for Pain and Activity Performance in Mobile Users with Risk of Repetitive Strain Injury

2012· article· en· W2329891719 on OpenAlexaboutno aff
KR Banumathe, V Guruprasad, Leena Ann Lukose

Bibliographic record

VenueInternational Journal of Scientific Research · 2012
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)MedicineOccupational therapyPhysical therapyStrain (injury)Physical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

Objectives: To find the prevalence of pain and activity restriction among mobile users with risk of Repetitive Strain Injury (RSI). To study the effectiveness of Occupational Therapy(OT) intervention for improving activity performance in mobile users with RSI. Methodology: 3 questionnaires were made and validated. RSI Screening Questionnaire was given to 100 participants to find out the prevalence. Among which 64 of them were selected based on inclusion criteria. Pretest was taken using McGill Pain Questionnaire, Activity Restriction Questionnaire and Awareness Questionnaire. Interventions such as health education, strengthening activities and pamphlets were given for three 30 min session / week.After a period of 3 weeks posttest was taken using the same questionnaire and results were analyzed. Results: Using SPSS-15, Descriptive analysis and Paired‘t’ test was used to analyze the data. 64% of them had symptom of pain and limitation it their activity performance. There was a significant difference between pre and post test score in pain and activity restriction and awareness at p<0.05 level. Conclusion: There was a significant reduction

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.032
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.076
GPT teacher head0.458
Teacher spread0.383 · 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.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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