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Record W4294243125 · doi:10.23889/ijpds.v7i3.1974

Changes in health and welfare after workers’ compensation benefits cease.

2022· article· en· W4294243125 on OpenAlexaff
Daniel Griffiths, Michael Di Donato, Tyler Lane, Shannon Gray, Ross Iles, Janneke Berecki‐Gisolf, Peter Smith, Alex Collie

Bibliographic record

VenueInternational Journal for Population Data Science · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReceiptWorkers' compensationPaymentWelfareSocial securityBusinessDisability benefitsCompensation (psychology)Social workSocial WelfareDemographic economicsMedicineActuarial scienceLabour economicsEconomicsFinanceEconomic growthAccountingPsychologyPolitical science

Abstract

fetched live from OpenAlex

ObjectivesTo investigate welfare and health service use among workers with long-duration workers’ compensation claims after workers’ compensation stopped. To identify changes in health and welfare of workers whose compensation benefits ended due to a 260-week limit under s39(1) of the Workers’ Compensation Act New South Wales 2012 legislative amendments, Australia. ApproachWorkers’ compensation claims from the New South Wales State Insurance Regulatory Authority were linked to records for social security payments, hospital and emergency department admissions, and health professional services. A cohort of 15,258 workers with long-duration workers’ compensation claims (>2 years) were classified based on whether compensation ended due to a 260-week limit (s39 group), or in circumstances where compensation benefits stopped independently of a 260-week limit (injured control group), and are contextualised with a community comparator (N=10,703). Changes in welfare and health service use were examined 12 months preceding, and 12 months following, a final workers’ compensation benefit payment. ResultsAfter workers’ compensation benefits ceased under a 260-week limit there was a 53% increase in the uptake of social security benefits such as unemployment or disability payments by the s39 group, and levels of hospitalisation remained elevated compared to a community comparator. In contrast, workers whose compensation ended for other reasons, such as returning to work, saw a 28% increase in receipt of social security payments, and coincided with decreased hospitalisation incidence after exiting the workers’ compensation scheme. Overall, receipt of welfare and use of hospital health services after workers’ compensation ended was more common for people aged 65 or older, non-homeowners, single parents, and people living outside major cities. Social security payments were underrepresented for people with compensable psychological injuries, whilst hospitalisation was overrepresented. ConclusionThe introduction of a 260-week limit on workers’ compensation benefits resulted in a cohort of workers transitioning to the social security system, and did not coincide with a characteristic reduction in hospital service use. Policy changes must recognise interconnected consequences of changes to welfare and health. Transitional supports are encouraged.

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)0.003
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 score0.073
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
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 head0.143
GPT teacher head0.465
Teacher spread0.321 · 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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Citations0
Published2022
Admission routes1
Has abstractyes

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