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1.
BMC Med Educ ; 23(1): 943, 2023 Dec 12.
Artículo en Inglés | MEDLINE | ID: mdl-38087289

RESUMEN

BACKGROUND: A good educational climate is essential for delivering high-quality training for medical trainees, professional development, and patient care. The aim of this study was to (1) validate the Dutch Residency Educational Climate Test (D-RECT) in a Danish setting and (2) describe and evaluate the educational climate among medical trainees. METHODS: D-RECT was adopted in a three-step process: translation of D-RECT into Danish (DK-RECT), psychometric validation, and evaluation of educational climate. Trainees from 31 medical specialties at Copenhagen University Hospital - Rigshospitalet, Denmark were asked to complete an online survey in a cross-sectional study. RESULTS: We performed a forward-backward translation from Dutch to Danish. Confirmatory factor analysis showed that DK-RECT was robust and valid. The reliability analysis showed that only seven trainees from one specialty were needed for a reliable result. With 304 trainees completing DK-RECT, the response rate was 68%. The subsequent analysis indicated a positive overall educational climate, with a median score of 4.0 (interquartile range (IQR): 3.0-5.0) on a five-point Likert scale. Analysis of the subscales showed that the subscale Feedback received the lowest ratings, while Supervision and Peer collaboration were evaluated highest. CONCLUSIONS: Psychometric validation of D-RECT in a Danish context demonstrated valid results on the educational climate in specialist training. DK-RECT can be used to evaluate the effectiveness of interventions in the future and can facilitate the conversation on the educational climate.


Asunto(s)
Internado y Residencia , Humanos , Estudios Transversales , Dinamarca , Aprendizaje , Psicometría , Reproducibilidad de los Resultados , Encuestas y Cuestionarios
2.
Elife ; 122023 03 09.
Artículo en Inglés | MEDLINE | ID: mdl-36892462

RESUMEN

Background: Whether natural selection may have attributed to the observed blood group frequency differences between populations remains debatable. The ABO system has been associated with several diseases and recently also with susceptibility to COVID-19 infection. Associative studies of the RhD system and diseases are sparser. A large disease-wide risk analysis may further elucidate the relationship between the ABO/RhD blood groups and disease incidence. Methods: We performed a systematic log-linear quasi-Poisson regression analysis of the ABO/RhD blood groups across 1,312 phecode diagnoses. Unlike prior studies, we determined the incidence rate ratio for each individual ABO blood group relative to all other ABO blood groups as opposed to using blood group O as the reference. Moreover, we used up to 41 years of nationwide Danish follow-up data, and a disease categorization scheme specifically developed for diagnosis-wide analysis. Further, we determined associations between the ABO/RhD blood groups and the age at the first diagnosis. Estimates were adjusted for multiple testing. Results: The retrospective cohort included 482,914 Danish patients (60.4% females). The incidence rate ratios (IRRs) of 101 phecodes were found statistically significant between the ABO blood groups, while the IRRs of 28 phecodes were found statistically significant for the RhD blood group. The associations included cancers and musculoskeletal-, genitourinary-, endocrinal-, infectious-, cardiovascular-, and gastrointestinal diseases. Conclusions: We found associations of disease-wide susceptibility differences between the blood groups of the ABO and RhD systems, including cancer of the tongue, monocytic leukemia, cervical cancer, osteoarthrosis, asthma, and HIV- and hepatitis B infection. We found marginal evidence of associations between the blood groups and the age at first diagnosis. Funding: Novo Nordisk Foundation and the Innovation Fund Denmark.


Asunto(s)
COVID-19 , Neoplasias , Femenino , Masculino , Humanos , Sistema del Grupo Sanguíneo ABO/genética , Estudios Retrospectivos , Sistema del Grupo Sanguíneo Rh-Hr/genética , Medición de Riesgo , Susceptibilidad a Enfermedades
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