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Record W4409073564 · doi:10.1093/jbcr/iraf019.452

921 How to Become a Burn Nurse

2025· article· en· W4409073564 on OpenAlexaff
Anita G. Au, Ashley Callahan, Stephanie Mason

Bibliographic record

VenueJournal of Burn Care & Research · 2025
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineBurn unitsNursingMedical emergencyIntensive care medicineEmergency medicine

Abstract

fetched live from OpenAlex

Abstract Introduction For ninth consecutive year, CIHI reported the province has the worst RN to population ratio in the country, needing 26,000 additional nurses. With shortage of ICU nurses, staff continue experiencing burnout, the ongoing impact of the pandemic recovery experience, and the perception of a lack of team cohesiveness. As a provincial unit with 14 beds, staffing dropped from 46 to 15 full/part-time staff during COVID. Half of the nurses have less than 2 years of experience. Immediate action needs to be taken. The goal is to create an education pathway based on the American Burn Competencies Standards and the Standards for Critical Care Nursing Practice that adapts to individualized learning style as part of recruitment and retention strategy. Methods A roadmap using the Prosci Methodology is used by the newly recruited nurses to follow as they adopt new behaviors or ways of thinking. The effectiveness of the educational pathway is assessed using the PDSA cycle. Educational burn topics are established based on the certified burn registered nurse certificate. Nurses are from different levels of nursing experience or non-experience (new graduate, with or without ICU, with or without Burn). Using adult self-learning theory, the five senses guide the learning milestone: e-modules, “show and tell” clinical practice, games, return demonstrations, simulation labs of scenarios, test and quizzes, micro-teaching sessions, buddy shifts, self-reflection goals and achieving specializing certificates like ABLS, ACLS, CCNC, CBRN. Results There is a continuous demand for ICU services while units have ICU nurses’ shortages. Nurses attend the critical care sponsorship program to obtain basic ICU skills, but no specific program provides the burn specialty skills. By developing an educational pathway, new burn staff are supported from beginning to two years after being hired. For retention, a standard of burn competency is established that encourages professional development. A cohesive regional burn team is the result. Conclusions There is a continuous demand for ICU services while units are experiencing ICU nursing shortages. Nurses attend the critical care sponsorship program to obtain basic ICU skills, but no specific program provide the burn specialty skills. By developing an educational pathway, new burn staff are supported from beginning to two years after being hired. For retention, a standard of burn competency is established that encourages professional development. A cohesive regional burn team is the result. Applicability of Research to Practice As part of the discussion, this project is able to inspire nurses to join the team and to retain nurses in the burn ICU specialization while enable the creation of a supportive environment that nurses feel ready for professional development in an intensive burn care through completing an environmental safety survey and participation in national or international ICU or burn conferences. Funding for the Study N/A

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.079
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0790.028

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 head0.054
GPT teacher head0.431
Teacher spread0.377 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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