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Record W2040934545 · doi:10.1186/1471-2474-9-34

Agreement between a self-administered questionnaire on musculoskeletal disorders of the neck-shoulder region and a physical examination

2008· article· en· W2040934545 on OpenAlexafffund
Nathalie Perreault, Chantal Brisson, Clermont E. Dionne, Sylvie Montreuil, Laura Punnett

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2008
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversité Laval
FundersInstitut de Réadaptation en Déficience Physique de Québec
KeywordsMedicineShouldersKappaPhysical therapyPhysical examinationCohen's kappaSports medicineNeck painRange of motionSurgeryAlternative medicineStatistics

Abstract

fetched live from OpenAlex

BACKGROUND: In epidemiological studies on neck-shoulder disorders, physical examination by health professionals, although more expensive, is usually considered a better method of data collection than self-administered questionnaires on symptoms. However, little is known on the comparison of these two methods of data collection. The agreement between self-administered questionnaires and the physical examination on the presence of neck-shoulders disorders was assessed in the present study. METHODS: This study was conducted among clerical workers using video display units. Prevalent cases were workers for whom neck-shoulder symptoms were present for at least 3 days during the previous 7 days and for whom pain intensity was greater than 50 mm on a 100 mm visual analogue scale. All 85 workers meeting this definition and a random sample of 102 workers who did not meet this definition were selected. Physical examination included measures of active range of motion and musculoskeletal strength. Cohen's kappa and global percent agreement were calculated to compare the two methods of data collection. The effect on the agreement of different question and physical examination definitions and the importance of the time interval elapsed between the administrations of the tests were also evaluated. RESULTS: Kappa coefficients ranged from 0.19 to 0.54 depending on the definitions used to ascertain disorders. The agreement was highest when the two instruments were administered 21 days apart or less (Kappa = 0.54, global agreement = 77%). It was not substantially improved by the addition of criteria related to functional limitations or when comparisons were made with alternative physical examination definitions. Pain intensity recorded during physical examination maneuvers was an important element of the agreement between questionnaire and physical examination findings. CONCLUSION: These results suggest a fair to good agreement between the presence of musculoskeletal disorders ascertained by self-administered questionnaire and physical examination that may reflect differences in the constructs measured. Shorter time lags result in better agreement. Investigators should consider these results before choosing a method to measure the presence of musculoskeletal disorders in the neck-shoulder region.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.016
GPT teacher head0.284
Teacher spread0.269 · 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.

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

Citations36
Published2008
Admission routes2
Has abstractyes

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