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Record W2901174270 · doi:10.36834/cmej.43345

Adjusting to duty hour reforms: residents’ perception of the safety climate in interdisciplinary night-float rotations

2018· article· en· W2901174270 on OpenAlexafffundvenue
Alexandre Lafleur, Adrien Harvey, Caroline Simard

Bibliographic record

VenueCanadian Medical Education Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicHospital Admissions and Outcomes
Canadian institutionsUniversité Laval
FundersUniversité de MontréalUniversité Laval
KeywordsTeamworkDutyPatient safetySafety climateWorkloadPsychologyFamily medicineFloat (project management)MedicineNursingMedical educationOccupational safety and healthPolitical scienceHealth careManagement

Abstract

fetched live from OpenAlex

Background: New scheduling models were needed to adjust to residents’ duty hour reforms while maintaining safe patient care. In interdisciplinary night-float rotations, four to six residents from most residency programs collaborated for after-hours cross-coverage of most adult hospitalised patients as part of a Faculty-led rotation. Residents worked sixteen 12-hour night shifts over a month. Methods: We measured residents’ perception of the patient safety climate during implementation of night-float rotations in five tertiary hospitals. We surveyed 267 residents who had completed the rotation in 2015-2016 with an online version of the Safety Attitudes Questionnaire. First year residents came from most residency programs, second- and third-year residents came from internal medicine.Results: One-hundred-and-thirty residents completed the questionnaire. Scores did not differ across hospitals and residents’ years of training for all six safety-related climate factors: teamwork climate, job satisfaction, perceptions of management, safety climate, working conditions, and stress recognition.Conclusion: Simultaneous implementation in five hospitals of a Faculty-led interdisciplinary night-float rotation for most junior residents proved to be logistically feasible and showed similar and reassuring patient safety climate scores._____Contexte: De nouveaux horaires de garde en établissements hospitaliers étaient nécessaires pour s’adapter aux réformes des heures de travail des résidents tout en maintenant des soins sécuritaires pour les patients. Dans les stages cliniques de nuit interdisciplinaires, quatre à six résidents de la plupart des programmes de résidence ont collaboré pour assurer une couverture croisée, après les heures normales de travail, de la plupart des patients adultes hospitalisés. Les résidents ont travaillé seize nuits de 12 heures durant un mois.Méthodes: Nous avons mesuré la perception des résidents du climat de travail lié à la sécurité des patients lors de la mise en place de stages de nuit dans cinq hôpitaux universitaires. Nous avons interrogé 267 résidents ayant terminé le stage en 2015-2016 avec une version numérique du Safety Attitudes Questionnaire. Les résidents de première année provenaient de la plupart des programmes de résidence, les résidents de deuxième et troisième années provenaient du programme de médecine interne.Résultats: 130 résidents ont complété le questionnaire. Les scores ne différaient pas entre les hôpitaux et les années de formation des résidents pour les six facteurs liés à la sécurité des patients: climat de travail en équipe, satisfaction au travail, perceptions des supérieurs, climat de sécurité, conditions de travail et reconnaissance du stress.Conclusions: La mise en place simultanée, dans cinq hôpitaux, de stages cliniques de nuit réunissant des résidents juniors de la majorité des programmes de résidence fut logistiquement possible et a montré des résultats similaires et rassurants sur le climat de travail lié à la sécurité des patients.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.011
GPT teacher head0.332
Teacher spread0.320 · 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.

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".

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Citations2
Published2018
Admission routes3
Has abstractyes

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