The purpose of this research was to use narrative analysis to study final papers in a Social and Cultural Issues in Health Care course in order to understand how to improve nursing student learning about discrimination and oppression in health care. The study addressed two questions: a) What were the dimensions of diversity in the student population, including hidden dimensions such as social class and religion? b) How effectively did students analyze and synthesize course content on race, class, and privilege through autobiographical reflection and cognitive, attitudinal and applied learning? Dimensions of diversity were identified through narrative analysis of student autobiographical information. Four levels of learning emerged from a thematic narrative analysis of how students used personal autobiographical reflection and cognitive, affective, and applied learning to analyze and synthesize course content on race, class, and privilege in health care.This study makes a unique contribution to nursing educational research by exploring the use of narrative analysis in evaluating student learning about discrimination in health care.

Download full-text PDF

Source

Publication Analysis

Top Keywords

health care
16
narrative analysis
16
student learning
12
race class
12
class privilege
12
evaluating student
8
privilege health
8
learning discrimination
8
dimensions diversity
8
analyze synthesize
8

Similar Publications

Most people with mental health needs cannot access treatment; among those who do, many access services only once. Accordingly, single-session interventions (SSIs) may help bridge the treatment gap. We conducted the first umbrella review synthesizing research on SSIs for mental health problems and service engagement in youth and adults.

View Article and Find Full Text PDF

Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced Raman scattering (SERS) with deep learning for rapid, quantitative detection of respiratory virus coinfections. Using sensitive silica-coated silver nanorod array substrates, over 1.

View Article and Find Full Text PDF

Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.

View Article and Find Full Text PDF

Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.

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!