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Record W7146072573

日本におけるフライトナースの教育内容に関する全国調査

2024· article· ja· W7146072573 on OpenAlexaboutno aff
秀一 菱沼, 貴史 野口, 拓 金子, 智美 村岡, 昌子 金子

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2024
Typearticle
Languageja
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDuration (music)Quarter (Canadian coin)Continuing medical educationContinuing educationRegistered nurseHealth education
DOInot available

Abstract

fetched live from OpenAlex

[Aim] This study aimed to clarify the education content and actual state of knowledge and skills training provided at each medical facility until flight nurses can practice independently. [Subject and Method] We requested participation in the questionnaire survey from medical institutions that operate medical helicopters in Japan. We analyzed 90 patients from 28 medical centers that participated in the study. [Result] Regarding flight nurse education in Japan, OJT was introduced in all the medical facilities surveyed. After beginning independent practice, flight nurses experienced exceptional cases such as disaster response and perinatal patient care. However, four (14.3%) facilities provided disaster-specific education;four (14.3%), perinatal education;seven(25.0%),neonatal transportation; and seven (25.0%), pediatric education. Six(21.4%) provided education on exceptional cases, which was less than a quarter of the total number of facilities. Fifteen facilities (53.6%) introduced simulation education. The duration of education varied from 10 days to > 1 year. [Conclusion] Many facilities do not provide education on these particular cases as part of flight nurse education. Conversely, flight nurses are unlikely to experience exceptional cases during their OJT period, and flight nurses purportedly acquire this knowledge and skillset by participating in training sessions as well as self-improvement. Including exceptional cases during the OJT training period in the standard education program and incorporating simulation education at each facility are necessary.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.011

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 head0.052
GPT teacher head0.386
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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