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Record W2911201891 · doi:10.1016/j.bjan.2018.10.002

Retenção do conhecimento após treinamento de ultrassonografia cardíaca focada: estudo‐piloto prospectivo de coorte

2019· article· pt· W2911201891 on OpenAlexaff
Glenio B. Mizubuti, René Allard, Anthony M.‐H. Ho, Louie Wang, Theresa Beesley, Wilma M. Hopman, Rylan Egan, Devin Sydor, Dale Engen, Tarit Saha, Robert Tanzola

Bibliographic record

VenueBrazilian Journal of Anesthesiology · 2019
Typearticle
Languagept
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsKingston Health Sciences CentreKingston General HospitalMcGill UniversityQueen's University
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

A ultrassonografia cardíaca no local de atendimento (USCLA) provou ser importante para orientar o processo de tomada de decisão clínica dos anestesiologistas. Treinar os residentes para fazer e interpretar uma USCLA é viável e eficaz. No entanto, o grau de retenção do conhecimento após o treinamento permanece um assunto de debate. Procuramos fornecer uma descrição do currículo de quatro semanas do treinamento de USCLA e avaliar a retenção do conhecimento entre os residentes de anestesia seis meses após a rotação em USCLA. Uma análise prospectiva foi realizada com 11 residentes seniores de anestesia. Ao final da rotação em USCLA, os participantes preencheram um questionário (avaliando o número de exames ultrassonográficos concluídos, o conhecimento adquirido e o nível de conforto dos residentes com a USCLA) e fizeram um exame de múltipla escolha para USCLA, composto por perguntas escritas e baseadas em vídeo. Seis meses depois, os participantes preencheram um questionário de acompanhamento e um exame similar. A autoavaliação do conhecimento e os escores do exame foram comparados no final da rotação e após seis meses. Correlações de Spearman foram usadas para testar a relação entre o número de exames concluídos e os escores dos exames, o conhecimento percebido, os escores dos exames, o número de exames e o conhecimento percebido. Os escores médios dos exames (50) foram: 44,1 no final da rotação e 43 após seis meses. Os residentes tiveram conhecimento percebido significativamente maior (10) no final da rotação (8,0) que após seis meses (5,5), p = 0,003. No final da rotação, todos os residentes se sentiram confortáveis usando o aparelho de USCLA e, aos seis meses, 10/11 ainda se sentiam confortáveis. Todos os residentes haviam usado o USCLA em sua prática clínica após o final da rotação e a razão mais citada para não usar o USCLA com mais frequência foi a falta de necessidade clínica percebida. Uma correlação forte e estatisticamente significativa (rho = 0,804, p = 0,005) foi observada entre o número de exames realizados durante a rotação em USCLA e o conhecimento percebido em seis meses de seguimento. Quatro semanas de treinamento intensivo de USCLA resultaram em aquisição e retenção adequadas do conhecimento por seis meses. Focused Cardiac Ultrasound (FoCUS) has proven instrumental in guiding anesthesiologists’ clinical decision‐making process. Training residents to perform and interpret FoCUS is both feasible and effective. However, the degree of knowledge retention after FoCUS training remains a subject of debate. We sought to provide a description of our 4‐week FoCUS curriculum, and to assess the knowledge retention among anesthesia residents at 6 months after FoCUS rotation. A prospective analysis involving eleven senior anesthesia residents was carried out. At end of FoCUS Rotation (EOR) participants completed a questionnaire (evaluating the number of scans completed and residents’ self‐rated knowledge and comfort level with FoCUS), and a multiple‐choice FoCUS exam comprised of written‐ and video‐based questions. Six months later, participants completed a follow‐up questionnaire and a similar exam. Self‐rated knowledge and exam scores were compared at EOR and after 6 months. Spearman correlations were conducted to test the relationship between number of scans completed and exam scores, perceived knowledge and exam scores, and number of scans and perceived knowledge. Mean exam scores (out of 50) were 44.1 at EOR and 43 at the 6‐month follow‐up. Residents had significantly higher perceived knowledge (out of 10) at EOR (8.0) than at the 6‐month follow‐up (5.5), p = 0.003. At the EOR, all trainees felt comfortable using FoCUS, and at 6 months 10/11 still felt comfortable. All the trainees had used FoCUS in their clinical practice after EOR, and the most cited reason for not using FoCUS more frequently was the lack of perceived clinical need. A strong and statistically significant (rho = 0.804, p = 0.005) correlation between number of scans completed during the FoCUS rotation and 6‐month follow‐up perceived knowledge was observed. Four weeks of intensive FoCUS training results in adequate knowledge acquisition and 6‐month knowledge retention.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.312
Teacher spread0.292 · 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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Citations4
Published2019
Admission routes1
Has abstractyes

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