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Record W3208430716 · doi:10.1136/oem-2021-epi.394

RF-326 Does participation in modified return to work differ for immigrant compared to Canadian-born workers in British Columbia, Canada?

2021· article· en· W3208430716 on OpenAlexaffabout
Sonja Senthanar, Mieke Koehoorn, Lillian Tamburic, Stéphanie Premji, Ute Bültmann, Chris McLeod

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsImmigrationMedicineDemographyInjury preventionOccupational safety and healthLogistic regressionRefugeePoison controlPhysical therapyOdds ratioGerontologyMedical emergencyInternal medicineGeography

Abstract

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<h3>Introduction</h3> The longer workers are off work, the less likely they are to successfully return to work. Modified return-to-work (MRTW) provides earlier work reintegration after an injury with the goal of full recovery and shorter work disability durations. <h3>Objective</h3> This study examined differences in MRTW participation for immigrant compared to Canadian-born workers with a work-related injury in British Columbia. <h3>Methods</h3> Workers’ compensation claims data linked with immigration records were used to identify immigrant (economic, family or refugees/other classifications) and Canadian-born workers with an accepted short-term disability claim between 2009–2015 for acute (fracture and concussion) and chronic injuries (back strain and connective tissue). Injury cohorts were restricted to 30 days on claim for a common disability window to measure MRTW participation. The outcome of MRTW was measured as never offered MRTW or an offer of MRTW within the first 30 days on benefits. Individuals with an offer beyond 30 days were excluded. <h3>Results</h3> In adjusted logistic regression models, immigrant classification was associated with a decreased odds ratio (OR) of receiving an offer of MRTW within 30 days across injury cohorts. For example, for workers with back strain injuries: OR=0.97 [95%CI 0.88, 1.07] for economic immigrants, OR=0.72 [95%CI 0.66, 0.79] for family class immigrants, and OR=0.74 [95% CI 0.64, 0.86] for refugee/other classifications. Similarly, for workers with a fracture injury: OR=0.94 [95%CI 0.72, 1.22] for economic immigrants, OR=0.84 [95%CI 0.64, 1.11] for family class immigrants, and OR=0.42 [95%CI 0.24, 0.76] for refugee/other classifications. <h3>Conclusion</h3> Understanding why immigrant workers are less likely to be offered MRTW compared to Canadian-born workers for the same injuries is worthy of further investigation, and in particular for workers who arrived to Canada as refugees. A focus on increasing earlier provision of MRTW for longer term claims has the potential to reduce work disability duration among immigrant workers.

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)0.001
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 score0.046
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.307
Teacher spread0.278 · 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

Citations3
Published2021
Admission routes2
Has abstractyes

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