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Record W2537607993 · doi:10.1186/s12891-016-1298-y

Workers’ characteristics associated with the type of healthcare provider first seen for occupational back pain

2016· article· en· W2537607993 on OpenAlexafffundabout
Marc‐André Blanchette, Michèle Rivard, Clermont E. Dionne, Sheilah Hogg‐Johnson, Ivan Steenstra

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2016
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsPublic Health OntarioUniversity of TorontoUniversité de MontréalUniversité LavalInstitute for Work & HealthThe Quebec Population Health Research Network
FundersCanadian Institutes of Health ResearchWorkplace Safety and Insurance Board
KeywordsMedicineSports medicineHealth careOddsOdds ratioLogistic regressionOccupational medicineChiropracticBack painCohortAcute careFamily medicineOccupational safety and healthLow back painPhysical therapyInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Few studies have compared the factors that drive patients' decision to choose a chiropractor, physician or physiotherapist as their first healthcare provider for occupational back pain. The purpose of this study is to identify characteristics associated with the choice of first healthcare provider seen for acute uncomplicated occupational back pain. METHODS: We analyzed data collected by the Workplace Safety and Insurance Board from a cohort of workers with compensated back pain in 2005 in Ontario (Canada). Multivariable logistic regression models were created to identify factors associated with the type of first healthcare provider seen (chiropractor, physician, or physiotherapist). Adjustments to the final models were evaluated using the area under the receiver-operating characteristics curve (ROC). RESULTS: According to the 5520 analyzed claims, 85.3 % of the patients saw a physician, 11.4 % saw a chiropractor, and 3.2 % saw a physiotherapist. Longer job tenure (odds ratio (OR) = 1.02, P = 0.004), higher gross personal income (OR = 1.06, P = 0.018), mixed-manual job (OR = 1.35, P = 0.004) and previous similar injury (OR = 1.60, P < 0.001) increased the odds of seeing a chiropractor rather than a physician, while the size of the community (>500,000 inhabitants) and the availability of an early return to work program in the workplace (OR = 0.77, P = 0.035) decreased it. The odds of seeing a physiotherapist rather than a physician increased with increasing age (OR = 1.19, P = 0.019), previous similar injury (OR = 1.71, P < 0.001) and severity of injury (OR = 2.03, P = 0.010). Increased age (OR = 1.28, P = 0.008) and size of community (>1,500,000 inhabitants; OR = 2.58, P = 0.002) increased the odds of seeing a physiotherapist rather than a chiropractor, while holding a mixed-manual job significantly decreased those odds (OR = 0.63, P = 0.044). The area under the ROC curve of our multivariable models varied from 0.62 to 0.64. CONCLUSION: The type of first healthcare provider sought for occupational back pain is influenced by injury-and work-related factors and by the worker's age, income and community size. Contrary to previous studies, the workers who first sought a physician did not have higher odds of having a severe injury.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.038
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.021
GPT teacher head0.295
Teacher spread0.274 · 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

Citations13
Published2016
Admission routes3
Has abstractyes

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