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Record W1979270153 · doi:10.1097/bcr.0b013e31824d1acb

Reduced Length of Stay in Hospital for Burn Patients Following a Change in Practice Guidelines

2012· article· en· W1979270153 on OpenAlexaff
Leigh A. Jansen, Sally Hynes, Sheina A. Macadam, Anthony Papp

Bibliographic record

VenueJournal of Burn Care & Research · 2012
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineBurn centerEmergency medicineIntensive care unitCost analysisTrauma centerBurn unitsTotal body surface areaRetrospective cohort studySurgeryPoison controlIntensive care medicine

Abstract

fetched live from OpenAlex

The objective of this study was to analyze the financial implications of the implementation of new institutional practice guidelines including greater outpatient care and earlier operative intervention in a provincial burn center. A retrospective review was performed including all patients admitted to the Burn Unit with burns up to 20% TBSA between August 2005 and July 2009, including 2 years before and after the new guidelines were introduced. Daily costs for the burn unit were used to calculate this portion of cost. Length of stay (LOS) was based on actual data and representative clinical scenarios. Two hundred sixty-four patients were included. Mean LOS decreased from 10.3 to 3.9 (P < .01) and 21.0 to 13.3 (P > .05) for nonoperative burns 0 to 10% and 10 to 20% TBSA, respectively. Mean LOS for operative burns decreased from 16.6 to 12.9 and 32.3 to 29.8 days for 0 to 10% and 10 to 20% TBSA, respectively (P > .05). Burn patient management requires significant financial resources, and LOS has a large impact on cost. Given per diem rates of Can$1,663, scenario analysis shows potential cost savings of Can$19,956 per patient for operative and nonoperative burns <20% TBSA. With an average of 66 such patients treated each year, potential annual cost savings are Can$1.3 million. If outcomes are not compromised, earlier operative management and greater outpatient care can translate into significant cost savings. A prospective analysis capturing all costs and patient quality of life is required for further assessment.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.137
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.151
GPT teacher head0.490
Teacher spread0.339 · 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

Citations34
Published2012
Admission routes1
Has abstractyes

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