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Record W4411134763 · doi:10.1093/jbcr/iraf107

Impact of Housing on Burn Injury Patterns and Outcomes: A Retrospective Cohort Study at a Canadian Burn Center

2025· article· en· W4411134763 on OpenAlexaffabout
Justin J. Lee, Izza Sattar, Sean Harrop, Trent Schimmel, Shawn Dodd, Sharada Manchikanti, Joshua N. Wong, Alexis Armour

Bibliographic record

VenueJournal of Burn Care & Research · 2025
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineFrostbiteRetrospective cohort studyEmergency medicineBurn injuryPopulationOccupational safety and healthTotal body surface areaCohortInternal medicineSurgeryEnvironmental health

Abstract

fetched live from OpenAlex

Houselessness is an important social determinant of health, which may predispose to poor health and difficulty in recovering from new health issues. We examined the demographic variables and clinical outcomes of housed and unhoused patients experiencing thermal injuries. A retrospective chart review was performed on all patients admitted to or followed by the burn service from January 2022 to June 2024. There were 571 new thermal injuries requiring admission at our institution, including 414 patients with housing and 157 unhoused patients. Frostbite accounted for 35% of admissions among unhoused patients, which was significantly greater than the 10% of housed patient admissions for frostbite injuries (P < .0001), where thermal burns accounted for the majority of injuries requiring admission. Substance use was significantly higher in the unhoused population (P < .0001). Unhoused patients on the burn service were 10-fold more likely to leave against medical advice, compared with housed patients (P < .00001). Interestingly, the mean length of stay was not significantly different between the housed and unhoused inpatients; however, it was significantly different with the exclusion of patients who left against medical advice (18.21 ± 30.84 days vs 24.70 ± 26.30 days; P = .03). The houseless population in Canada experiences unique challenges due to the extreme cold, while their inpatient-care providers are challenged by a resource-constrained system. These results suggest the need for additional support for thermal injury prevention and substance use disorder treatment among the unhoused population.

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)0.002
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 score0.010
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.412
Teacher spread0.378 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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