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Record W7009661579

The Effects of Multidisciplinary Educational Program on Quality of Life and Disability of Patients with Chronic Low Back Pain: A Clinical Trial with 3, 6, 12 and 18 Months Follow ups

2011· article· en· W7009661579 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)Repeated measures designMultidisciplinary approachClinical trialLow back painRandomized controlled trialIntervention (counseling)Chronic pain
DOInot available

Abstract

fetched live from OpenAlex

Background: Chronic low back pain is one of the most health problems worldwide. This study aimed to examine the effects of a designed multidisciplinary program on quality of life and disability among chronic low back pain patients up to 18 months. Methods: This study followed the participants in previous randomized controlled trial up to 18 months. Therefore, data at 18- month follow up, were collected through SF-36, Ronald –Morris Disability Questionnaire, and Quebec low back pain Disability Scale and then analyzed in five stages of 0, 3, 6, 12, and 18 months through repeated measure ANOVA. Finding: Repeated measures ANOVA showed that interactions between time and group were different in all subscales of SF-36 scale (all P ≤ 0.05).The disability of patients was decreased over time in intervention group that was significantly different from control group (P < 0.01). Conclusion: The findings of this study suggest that the designed multidisciplinary program could improve quality of life and decrease disability even up to 18 months in chronic low back pain patients.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.184
GPT teacher head0.536
Teacher spread0.352 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)→Same topicMusculoskeletal pain and rehabilitation→French-language works237,207→