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Record W2794514005 · doi:10.1093/jbcr/irx034

A Survey of Temperature Management Practices Among Burn Centers in North America

2017· article· en· W2794514005 on OpenAlexaboutno aff
Kaitlin A Pruskowski, Julie A Rizzo, Beth Shields, Rodney K. Chan, Ian R. Driscoll, Matthew P. Rowan, Kevin K. Chung

Bibliographic record

VenueJournal of Burn Care & Research · 2017
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBurn unitsFamily medicineEmergency medicineMedical emergencyGerontologyEnvironmental health

Abstract

fetched live from OpenAlex

Maintaining body temperature is a unique challenge with burn care. We sought to describe core temperature goals in the operating room (OR) and the methods used to achieve and maintain these goals, along with current methods of warming in the intensive care unit (ICU), the perception of effect of increased ambient temperature on work performance, and concerns with contamination of sterile fields due to increased ambient temperature. A 24 question survey was disseminated to burn centers in the United States and Canada. The questions included demographics, target core and ambient temperatures, warming methods, and beliefs on ambient temperature's effects. Of 121 burn centers, 52 questionnaires were completed (43% response rate). The majority of centers targeted a core temperature between 36 and 38°C in the OR and an ambient temperature between 75 and 95°F in the ICU. The most common methods for maintaining core temperature included warmed ambient temperature, forced air devices, and intravenous fluids. Although the majority of centers reported the belief that increased ambient temperature benefits patients, many also reported that there is a negative impact on staff performance and risk of staff perspiration contaminating sterile fields. Burn centers reported a range of target core temperatures and methods to reach target temperatures. More than a third of respondents perceived a negative impact work performance while more than half acknowledged the potential for contamination of sterile fields. A prospective observational study is needed to determine actual temperature regulation practice patterns and its impact on outcomes.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.016
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.089
GPT teacher head0.429
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

Citations26
Published2017
Admission routes1
Has abstractyes

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