Background: Poverty is a pervasive condition linked to a myriad of health conditions and severe health outcomes. Public health professionals are at the forefront of addressing poverty-related issues and require education that enhances their understanding and cultural competence. Purpose: The purpose of this research was to evaluate the impacts of a poverty simulation for students and practitioners of public health regarding their attitudes toward people living in poverty and awareness of the barriers they face. Methods: A pre- and postsurvey containing Likert scale and qualitative questions was administered to 91 participants. Paired t tests were run to assess changes from pretraining to posttraining and qualitative data were analyzed and overarching themes were identified. Results: Overall, participants indicated increased empathy, understanding, and knowledge of the barriers faced by low-income populations and increased confidence in their ability to identify issues contributing to poverty and positively impact those living in poverty. Discussion: The results presented here demonstrate the need for effective training and education on the realities of poverty and the receptiveness of participants to such trainings. Translation to Health Education Practice: Simulations enable a depth of understanding unachieved by traditional didactic education and are appropriate for educating students and professionals alike.
A Poverty Simulation to Inform Public Health Practice
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related Research Data
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.