Background: In the emergency department (ED), residents and attendings may have a short-term relationship, such as a single shift. This poses challenges to learner assessment, instructional strategy selection, and provision of substantive feedback. We implemented a process for residents to identify goals for ED shifts; characterized residents' goals; and determined how goal identification affected learning, teaching, and feedback.
Methods: This was an observational study in a large, tertiary pediatric ED using mixed methods. Residents were asked to identify learning goals for each shift and were asked postshift if they had identified, accomplished, and/or received feedback on these goals. Goals were categorized by Accreditation Council for Graduate Medical Education Core Competencies. Predictors of goal identification, accomplishment, and receipt of feedback were determined. Residents and attendings were interviewed about their experiences.
Results: We collected 306 end-of-shift surveys (74% response rate) and 358 goals and conducted 29 interviews. We found that: 1) Goal setting facilitated perceived learning. Residents identified goals 54% of the time. They accomplished 89% of and received feedback on 76% of goals. 2) Residents' perceived weaknesses, future practice settings, and available patients informed their goals. Most goals mapped to patient care (59%) or medical knowledge (37%) competencies. 3) Goal identification helped attendings determine residents' needs. 4) Ideal goals were specific and achievable. 5) Common barriers were busyness of the ED and difficulty creating goals. Residents were less likely to identify goals (odds ratio [OR] = 0.62, 95% confidence interval [CI] = 0.41 to 0.94) and receive feedback on busy evening shifts (OR = 0.19, 95% CI = 0.10 to 0.37) and were most likely to receive feedback overnight (OR = 3.66, 95% CI = 1.87 to 7.14).
Conclusions: Asking residents to identify goals for ED shifts as an instructional strategy facilitated perceived learning, goal accomplishment, and receipt of feedback. Resident-driven goal identification is a simple and effective instructional strategy that physicians can incorporate into their precepting in the ED.
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http://dx.doi.org/10.1002/aet2.10564 | DOI Listing |
JAMA Netw Open
January 2025
HealthPartners Institute, Bloomington, Minnesota.
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View Article and Find Full Text PDFAlzheimers Dement
December 2024
Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.
Background: Detecting Alzheimer's disease (AD) biological hallmarks before clinical symptoms emerge is now possible with available blood-based biomarkers. However, the rate of cognitive decline varies among individuals at risk of AD, and accurate prognostic blood-based biomarkers are lacking. Our goal is to identify plasma proteins predictive of fast cognitive decline in asymptomatic individuals at risk of AD.
View Article and Find Full Text PDFBackground: The identification of Alzheimer's disease (AD) pathology at an early stage utilizing plasma biomarkers has attracted significant interest due to its potential for improving global screening programs. Different forms of p-tau measured in plasma, mainly p-tau217, have demonstrated similar diagnostic accuracy when compared to traditional biomarkers. Moreover, plasma biomarkers associated with neuroinflammation and neurodegeneration, namely GFAP and NfL, respectively, have been found to be elevated in patients with amyloidosis and tau accumulation, even though these conditions are not exclusive to AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Thai Red Cross Emerging Infectious Diseases Health Science Centre, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Background: Alzheimer's disease (AD) is referred as one of the most common causes of dementia and frailty. To address this impending public health crisis, there is a critical need to identify simple and reliable biomarkers for early AD diagnosis. Recent research has highlighted the potential utility of salivary lactoferrin (Lf) as a promising biomarker for AD diagnosis.
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