Background The expectation for graduate medical education programs to ensure that trainees are progressing toward competence for unsupervised practice prompted requirements for a committee to make decisions regarding residents' progress, termed a clinical competency committee (CCC). The literature on the composition of these committees and how they share information and render decisions can inform the work of CCCs by highlighting vulnerabilities and best practices. Objective We conducted a narrative review of the literature on group decision making that can help characterize the work of CCCs, including how they are populated and how they use information. Methods English language studies of group decision making in medical education, psychology, and organizational behavior were used. Results The results highlighted 2 major themes. Group member composition showcased the value placed on the complementarity of members' experience and lessons they had learned about performance review through their teaching and committee work. Group processes revealed strengths and limitations in groups' understanding of their work, leader role, and information-sharing procedures. Time pressure was a threat to the quality of group work. Conclusions Implications of the findings include the risks for committees that arise with homogeneous membership, limitations to available resident performance information, and processes that arise through experience rather than deriving from a well-articulated purpose of their work. Recommendations are presented to maximize the effectiveness of CCC processes, including their membership and access to, and interpretation of, information to yield evidence-based, well-reasoned judgments.
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http://dx.doi.org/10.4300/JGME-D-15-00144.1 | DOI Listing |
Res Nurs Health
January 2025
School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China.
Behavioral management is essential to preventing recurrence after stroke, but its adherence is limited worldwide. We aimed to assess the impact of the behavior intervention based on the Recurrence risk perception and Behavioral decision Model for ischemic stroke patients' health behavior. This study was a single-blind, randomized, controlled trial with a 3-month follow-up.
View Article and Find Full Text PDFWorld J Gastrointest Oncol
January 2025
Department of Hepatobiliary and Pancreaticosplenic Surgery, Jingzhou Hospital Affiliated to Yangtze University, Jingzhou 434100, Hubei Province, China.
Background: The liver, as the main target organ for hematogenous metastasis of colorectal cancer, early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients. Herein, this study aims to investigate the application value of a combined machine learning (ML) based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis (MLM).
Aim: To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.
JACC Adv
December 2024
Division of Cardiology, University of California-San Francisco, San Francisco, California, USA.
Background: Within the United States, White individuals experience a higher risk of atrial fibrillation (AF) while exhibiting a lower AF-related stroke risk compared to other ethnic groups. It is possible that these observations stem from phenomena unique to the United States, such as differential health care access. The United Kingdom provides socialized medicine, which ostensibly promotes equitable health care access.
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September 2023
Laboratório de Parasitologia Médica (LIM-46), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
Background: Evaluating the effectiveness of Chagas disease treatment poses challenges due to the lack of biomarkers for disease progression and therapeutic response. In this study, we aimed to assess the clearance of Trypanosoma cruzi ( parasites in a group of benznidazole (BNZ)-treated chronic Chagas disease patients using high-sensitivity quantitative PCR (qPCR) and track antibody levels through a semiquantitative chemiluminescent assay.
Methods: A total of 102 seropositive patients with previous PCR-positive results were enrolled in the study.
R Soc Open Sci
January 2025
Sustainable Design Group, Department of Architecture, University of Cambridge, Cambridge CB2 1PX, UK.
This study proposes a methodology and a proof of concept to target and prioritize mass retrofitting of residential buildings in the UK using open building datasets that combine fabric energy efficiency and fuel poverty to meet the net-zero targets. The methodological framework uses a series of multi-variate statistical and geospatial methods that consider urban, socio-economic and physical attributes. In addition, thermal imaging is implemented to provide insights at the building scale.
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