Retention beyond representation: A call for structural inclusion in health professions education.

Med Educ

School of Therapy, Counseling and Human Development, Faculty of Education, University of Haifa, Haifa, Israel.

Published: December 2024

Download full-text PDF

Source
http://dx.doi.org/10.1111/medu.15591DOI Listing

Publication Analysis

Top Keywords

retention representation
4
representation call
4
call structural
4
structural inclusion
4
inclusion health
4
health professions
4
professions education
4
retention
1
call
1
structural
1

Similar Publications

Introduction: Black nurses are under-represented in the Canadian nursing workforce. A legacy of discrimination and systemic barriers reinforce the under-representation of Black nurses in the nursing workforce throughout the health system.

Objective: The objective of this study was to identify and describe organizational initiatives for the recruitment, retention and advancement of Black nurses in the healthcare system.

View Article and Find Full Text PDF

Introduction: Cultural humility practices are shown to be effective when working with diverse populations in healthcare settings. Research recruitment and retention among minoritised groups are essential to address health inequities. Given the successful application to healthcare settings, cultural humility practices may hold promise for recruiting and retaining minoritised individuals.

View Article and Find Full Text PDF

Participant representation, including the Good Participatory Practice guidelines, in the design and execution of clinical research can profoundly affect research structure and process. Early in the COVID-19 pandemic, an online registry called the Healthcare Worker Exposure Response and Outcomes (HERO) Registry, was launched to capture the experiences of healthcare workers (HCWs) on the pandemic frontlines. It evolved into a program that distributed COVID-19-related information and connected participants with COVID-19-related research opportunities.

View Article and Find Full Text PDF

ABCoRT: Retention Time Prediction for Metabolite Identification via Atom-Bond Co-Learning.

J Chem Inf Model

January 2025

School of Information Science and Engineering, Yunnan University, Kunming650091,China.

Liquid chromatography retention time (RT) prediction plays a crucial role in metabolite identification, a challenging and essential task in untargeted metabolomics. Accurate molecular representation is vital for reliable RT prediction. To address this, we propose a novel molecular representation learning framework, ABCoRT(tom-ond -learning for etention ime prediction), designed for predicting metabolite retention times.

View Article and Find Full Text PDF

Short-term memory for sequences of verbal items such as written words is reliably impaired by task-irrelevant background sounds, a phenomenon known as the "Irrelevant Sound Effect" (ISE). Different theoretical accounts have been proposed to explain the mechanisms underlying the ISE. Some of these assume specific interference between obligatory sound processing and phonological or serial order representations generated during task performance, whereas other posit that background sounds involuntarily divert attention away from the focal task.

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!