Background: In recent years, there have been numerous studies exploring different teaching methods for improving diagnostic reasoning in undergraduate medical students. This systematic review examines and summarizes the evidence for the effectiveness of these teaching methods during clinical training.
Methods: PubMed, Embase, Scopus, and ERIC were searched. The inclusion criteria for the review consist of articles describing (1) methods to enhance diagnostic reasoning, (2) in a clinical setting (3) on medical students. Articles describing original research using qualitative, quantitative, or mixed study designs and published within the last 10 years (1 April 2009-2019) were included. Results were screened and evaluated for eligibility. Relevant data were then extracted from the studies that met the inclusion criteria.
Results: Sixty-seven full-text articles were first identified. Seventeen articles were included in this review. There were 13 randomized controlled studies and four quasi-experimental studies. Of the randomized controlled studies, six discussed structured reflection, four self-explanation, and three prompts for generating differential diagnoses. Of the remaining four studies, two employed the SNAPPS technique for case presentation. Two other studies explored schema-based instruction and using illness scripts. Twelve out of 17 studies reported improvement in clinical reasoning after the intervention. All studies ranked level two on the New World Kirkpatrick model.
Discussion: The authors posit a framework to teach diagnostic reasoning in the clinical setting. The framework targets specific deficiencies in the students' reasoning process. There remains a lack of studies comparing the effectiveness of different methods. More comparative studies with standardized assessment and evaluation of long-term effectiveness of these methods are recommended.
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http://dx.doi.org/10.1007/s11606-021-06916-0 | DOI Listing |
Nat Commun
January 2025
Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium.
Large Language Models have demonstrated expert-level accuracy on medical board examinations, suggesting potential for clinical decision support systems. However, their metacognitive abilities, crucial for medical decision-making, remain largely unexplored. To address this gap, we developed MetaMedQA, a benchmark incorporating confidence scores and metacognitive tasks into multiple-choice medical questions.
View Article and Find Full Text PDFJ Emerg Med
August 2024
Department of Emergency Medicine, Rutgers New Jersey Medical School, Newark, New Jersey.
Background: Gastrointestinal bleeding (GIB) is a common condition in the emergency department (ED) with high incidence and mortality.
Objectives: Very early risk stratification of GIB patients can sometimes be a challenge. The decision to intubate these patients is multifactorial and requires careful consideration.
Early Hum Dev
January 2025
Department of Neonatology, Máxima Medical Center, Veldhoven, Noord-Brabant, the Netherlands.
Background: Although preterm birth is associated with deficits in both motor and cognitive functioning, the association between early motor skills and cognitive outcomes at a later age remains underexplored.
Aim: To evaluate associations between motor skills at age 5.5 and cognitive functioning at age 8.
BMC Med Educ
January 2025
Department of Science and Education, Zhuzhou 331 Hospital, Zhuzhou, China.
Background: Case-Based Learning (CBL) and Problem-Based Learning (PBL) are popular methods in medical education. However, we do not fully understand how they affect the clinical thinking skills of Assistant General Practitioner (AGP) trainees. This randomised controlled trial aimed to assess the effectiveness of combining CBL and PBL and compare their impact on the clinical thinking skills of AGP trainees with that of traditional lecture-based learning (LBL).
View Article and Find Full Text PDFPLOS Glob Public Health
January 2025
World Vision Canada, Mississauga, Canada.
Community Health Workers (CHWs) in low- and middle-income countries are essential in providing primary health care to remote communities. However, due to limited diagnostic tools, CHWs often struggle to correctly identify childhood illnesses, especially pneumonia. We conducted a prospective pilot study and used qualitative research methods to evaluate acceptability and feasibility of a multimodal pulse oximeter used by CHWs during their integrated community case management (iCCM) of childhood illness consultations in rural Burundi.
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