Background: A comprehensive methodology is needed to assess student teaching. The present study employed a triangulated approach evaluating participant perceptions of learning, critical reflection by the lecturer and peer observation to measure confidence, interest and usefulness of the subject matter.

Methods: Using an interactive lecturing style, seven teaching sessions were delivered to medical students and junior doctors. Rating scales, open-ended questions and focus group discussions evaluated participant perceptions. Critical reflections and observations were made by the lecturer and independent learning consultants.

Results: Seventy per cent of participants rated the lecture on the highest scale for usefulness and interest. There was a significant post-lecture increase in clinical confidence in seizure identification (p < 0.0005). Open-ended questions showed that videos were most useful (81/149) and interesting (109/149), and that the presentation of the syndromal classification provided a useful approach (114/149). Focus group discussion, lecturer and peer observation cross-validated these findings and highlighted the importance of expert commentary to the videos and the clinical relevance of material.

Download full-text PDF

Source
http://dx.doi.org/10.1080/01421590701287962DOI Listing

Publication Analysis

Top Keywords

triangulated approach
8
participant perceptions
8
lecturer peer
8
peer observation
8
open-ended questions
8
focus group
8
approach assessment
4
assessment teaching
4
teaching childhood
4
childhood epilepsy
4

Similar Publications

Developing a comprehensive inventory to define harm reduction housing.

Harm Reduct J

January 2025

Opioid Policy Research Collaborative, Heller School for Social Policy & Management, Brandeis University, Waltham, MA, USA.

Background: The City of Boston has faced unprecedented challenges with substance use amidst changes to the illicit drug supply and increased visibility of homelessness. Among its responses, Boston developed six low threshold harm reduction housing (HRH) sites geared towards supporting the housing needs of people who use drugs (PWUD) and addressing health and safety concerns around geographically concentrated tent encampments. HRH sites are transitional supportive housing that adhere to a "housing first" approach where abstinence is not required and harm reduction services and supports are co-located.

View Article and Find Full Text PDF

Background: South-South Cooperation (SSC) is recognized as a vital component of goal 17 - 'Partnerships for the goals' within the SDGs and countries in the global south has been utilizing this cooperation mainly in research. We report the first health care professional exchange program through this south-to-south collaboration focusing on advancing quality of abortion care in the Sub-Saharan region.

Methods: We conducted a comprehensive mixed method study, incorporating both quantitative and qualitative approaches, to assess the impact of health care professionals' exchange program within the obstetrics and gynecology departments of two teaching institutions in Ethiopia and Rwanda over the course of a year (February 1, 2023-January 31,2024).

View Article and Find Full Text PDF

Objective: Adults living with overweight or obesity do not represent a single homogenous group in terms of mortality and disease risks. The aim of our study was to evaluate how the associations of adulthood overweight and obesity with mortality and incident disease are modified by (i.e.

View Article and Find Full Text PDF

Objective: To conceptualise the cognitive processes of early expert decision-making in urgent care.

Background: Expert clinicians in the UK frequently determine suitable urgent care patient pathways via telephone triage. This strategy is promoted by policymakers but how it is performed, and its effectiveness has not been evaluated.

View Article and Find Full Text PDF

Objective: Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. This challenge is especially pronounced in healthcare because of stringent ethical considerations and resource constraints.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!