title: Using Simulation to Teach About Poverty in Nursing Education: A Review of Available Tools.
abstract: Poverty is one of the most significant social determinants of health, and as such, it is imperative that nurses have an understanding of the impact that living in poverty has upon one's life and health. A lack of such understanding will impede nurses from providing care that is patient centered, treats all patients fairly, and advocates for social justice. It is essential that nursing educators assure that poverty-related content and effective teaching strategies are used in nursing curricula in order to help students develop this understanding. Several poverty-simulation tools are available and may be able to assist with development of accurate knowledge, skills, and attitudes. Unfortunately, little evidence exists to evaluate most poverty simulation tools. This article will provide an introduction to several poverty-related simulation tools, discuss any related research that evaluates their effectiveness, and make recommendations for integration of such simulation tools into nursing curricula.
authors.affiliation: PhD Candidate, University of North Dakota, College of Nursing and Professional Disciplines, Grand Forks, ND, 58202-9025 and Assistant Professor, Metropolitan State University, School of Nursing, Saint Paul, MN 55106-5000.. Electronic address: carol.reid@metrostate.edu.
authors.forename: Carol A
authors.initials: CA
authors.lastname: Reid
authors.affiliation: Associate Professor, Director of Advanced Public Health Nurse masters track and Director of PhD program, University of North Dakota, College of Nursing and Professional Disciplines, Grand Forks, ND 58202-9025.. Electronic address: Tracy.evanson@email.und.edu.
authors.forename: Tracy A
authors.initials: TA
authors.lastname: Evanson
mesh_terms: D003479:Curriculum; D004506:Education, Nursing / Q000379:methods*; D006801:Humans; D017145:Models, Educational; D011203:Poverty; D014481:United States
keywords: Active learning; Nursing education; Poverty; Simulation; Vulnerable populations