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Record W4315480969 · doi:10.9778/cmajo.20210118

A population-based study of the direct longitudinal health care costs of upper extremity trauma in patients aged 18–65 years

2023· article· en· W4315480969 on OpenAlexaffvenueabout
Heather L. Baltzer, Gillian Hawker, Priscila Pequeno, J. Charles Victor, Murray Krahn

Bibliographic record

VenueCMAJ Open · 2023
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsUniversity of TorontoToronto Public HealthUniversity Health Network
Fundersnot available
KeywordsLongitudinal studyMedicineTrauma careDemographyGerontologyPhysical therapyPhysical medicine and rehabilitationEmergency medicine

Abstract

fetched live from OpenAlex

<h3>Background:</h3> Upper extremity (UE) trauma represents a common reason for emergency department visits, but the longitudinal economic burden of this public health issue is unknown. This study assessed the 3-year attributable health care use and expenditure after UE trauma requiring acute surgical intervention, with specific focus on injuries that affect function of the hand and wrist. <h3>Methods:</h3> We conducted an incidence-based, propensity score–matched cohort study (2006–2014) in Ontario, Canada, using linked administrative health care data to identify case patients and matched control patients. We matched adults with hand, wrist and UE nerve trauma requiring surgery 1:4 to control patients. We compared total direct health care costs, including 1-year pre-index costs, between case and control patients using a differences-in-difference methodology. The primary outcome was attributable health care costs within 3 years of injury. <h3>Results:</h3> We matched patients with trauma (<i>n</i> = 26 123) to noninjured patients (<i>n</i> = 104 353). Mean direct health care costs attributable to UE trauma were $9210 (95% confidence interval [CI] 8880 to 9550) within 3 years. Patients with trauma had significantly more emergency department visits (≥ 3 visits: 25% v. 12%; <i>p</i> &lt; 0.001), mental health visits (34% v. 28%; <i>p</i> &lt; 0.05) and secondary surgeries (25% v. 5%; <i>p</i> &lt; 0.001). Specific patient populations had significantly greater attributable costs: patients requiring post-traumatic mental health visits ($11 360 v. $7090; <i>p</i> &lt; 0.001), inpatient surgery ($14 060 v. $5940, <i>p</i> &lt; 0.001) and complex injuries ($13 790 v. $7930; <i>p</i> &lt; 0.001). <h3>Interpretation:</h3> Health care expenditure increased more than fivefold in the year after UE trauma surgery and remained greater than the matched cohort for the subsequent 2 years. Those with more serious injuries and post-injury visits for mental health were associated with higher costs, requiring further study for this public health issue. The mean 1-year pre-injury and 1-year post-injury total costs were $1710 and $9350, respectively.

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)0.000
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 score0.021
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.043
GPT teacher head0.346
Teacher spread0.302 · 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

Citations5
Published2023
Admission routes3
Has abstractyes

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