Evidence map›Paper›PMID 37739458›Full record

ArticleBMJ open2023

Did implementation of no-fault auto-insurance in British Columbia, Canada, impact return to work following road trauma? Protocol for a before-after survival analysis.

Herbert Chan, Shannon Erdelyi, Alex Jiang, Christopher McLeod, Mieke Koehoorn, Jeffrey R Brubacher

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Herbert ChanDepartment of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Shannon ErdelyiDepartment of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Alex JiangDepartment of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Christopher McLeodSchool of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-9268-3694
Mieke KoehoornSchool of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Jeffrey R BrubacherDepartment of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada jeff.brubacher@ubc.ca.ORCID 0000-0002-4866-4231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRoad trauma (RT) is a major public health problem that often results in prolonged absenteeism from work. Limited evidence suggests that recovery after RT is associated with automobile insurance compensation schemes. In May 2021, British Columbia, Canada switched from fault-based to no-fault auto-insurance coverage. This manuscript presents the protocol for a planned evaluation of that natural experiment: We will evaluate the impact of changing automobile insurance schemes on return to work following RT. METHODS AND ANALYSIS: The evaluation will use a before-after design to analyse auto-insurance claims (1 April 2019 to 30 April 2024) in order to compare recovery of claimants with non-catastrophic injuries who filed claims under the no-fault insurance scheme to that of those who filed claims under the previous system. Claimants will be followed from date of injury until they return to work or have been followed for 6 months (right-censored). We will perform sensitivity analyses to examine the robustness of our findings. First, we will exclude injuries that occurred during the COVID-19 provincial State of Emergency. Second, we will use propensity score methods rather than conventional covariate adjustment to address potential imbalance between characteristics of claimants pre-change and post-change. Finally, as the implementation effect may have a heterogeneous association with time off work, we will use quantile regression with right-censoring at 6 months to model differences in return to work at the 25th, 50th, 75th and 90th percentiles. ETHICS AND DISSEMINATION: The study uses de-identified data and is approved by the University of British Columbia Clinical Research Ethics Board (H20-03644). This research is funded by the Insurance Corporation of British Columbia (ICBC). Findings will be published in the peer-reviewed literature and summarised in a report prepared for ICBC. We anticipate that our findings will inform policy decisions in other jurisdictions considering switching to no-fault auto-insurance schemes.

Indexed as

COVID-19Return to WorkBritish ColumbiaHumansInsurance CoverageSurvival AnalysisEPIDEMIOLOGIC STUDIESHEALTH ECONOMICSPUBLIC HEALTHSTATISTICS & RESEARCH METHODS

Identifiers

PMID37739458
PMCPMC10533740

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.