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953 The relationship between early prescription dispensing patterns and work disability in a cohort of low back pain workers’ compensation claimants

2018· article· en· W2800119658 on OpenAlexaffabout
Nancy Carnide, Sheilah Hogg‐Johnson, Mieke Koehoorn, Andrea D Furlan, Pierre Côté

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsToronto Rehabilitation InstituteUniversity of British ColumbiaPublic Health OntarioOntario Tech UniversityCanadian Memorial Chiropractic CollegeUniversity Health NetworkUniversity of TorontoInstitute for Work & Health
Fundersnot available
KeywordsMedicineMedical prescriptionCohortLow back painCohort studyRate ratioPhysical therapyIncidence (geometry)Emergency medicineInternal medicineConfidence intervalAlternative medicinePharmacology

Abstract

fetched live from OpenAlex

Introduction Opioids are prescribed early among workers’ compensation claimants with low back pain (LBP), despite little evidence supporting this practice. The comparative effect of early opioids relative to other medications on work disability is unknown. The objective was to examine the association between prescription opioids, nonsteroidal anti-inflammatory drugs (NSAIDs), and skeletal muscle relaxants (SMRs) dispensed in the first eight weeks following a compensated, work-related low back injury and work disability. Methods Historical cohort study of workers’ compensation claimants in British Columbia, Canada filing a short-term claim for a LBP injury. Exposure variables were constructed using dispensing data from the first eight weeks after injury: drug class(es) dispensed, drug class(es) at first dispense, days supply, strength of opioids dispensed, and average daily morphine-equivalent dose (MED). Two outcomes (time on benefits, any benefit receipt) after eight weeks and up to one year were considered. Results Compared to claimants receiving NSAIDs and/or SMRs only, the incidence rate ratio (IRR) of days on benefits for claimants dispensed opioids only or opioids with NSAIDs and/or SMRs was 1.09 (95% CI: 1.04 to 1.14) and 1.26 (95% CI: 1.22 to 1.30), respectively. The IRR for claimants dispensed strong opioids only or strong and weak opioids combined was 1.21 (95% CI: 1.12 to 1.30) and 1.29 (95% CI: 1.20 to 1.39), respectively, compared to weak opioids only. Each 7 day increase in supply of opioids, NSAIDs, and SMRs resulted in a 10%, 4%, and 3% increase, respectively, in rate of days on benefits. Each 30 mg/day increase in daily MED resulted in a 4% increase in rate of days on benefits. Larger effect sizes were seen for benefit receipt outcome. Discussion Findings suggest early opioid provision has an adverse effect on work disability. However, residual confounding likely accounts for some of the findings. Research is needed that accounts for prescriber, system, and workplace factors and elucidates the mechanism underlying the relationship.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.483

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.295
Teacher spread0.261 · 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 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".

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Citations1
Published2018
Admission routes2
Has abstractyes

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