985
Views
37
CrossRef citations to date
0
Altmetric
Original Articles

Assessment of Student Interprofessional Education (IPE) Training for Team-Based Geriatric Home Care: Does IPE Training Change Students’ Knowledge and Attitudes?

, MD, FAAFP, , PhD, MSW, MPA, LCSW, , PhD, PA-C, , OTD, OTR/L, , DDS, PhD, , MD, , OTD, OTR/L, , DDS, MS, , PT, DPT, , MSPH, , PharmD, CGP & , DrPH show all
Pages 177-193 | Published online: 25 Sep 2014
 

Abstract

Our study assesses changes in students’ knowledge and attitudes after participation in an interprofessional, team-based, geriatric home training program. Second-year medical, physician assistant, occupational therapy, social work, and physical therapy students; third-year pharmacy students; and fourth-year dental students were led by interprofessional faculty teams. Student participants were assessed before and after the curriculum using an interprofessional attitudes learning scale. Significant differences and positive data trends were noted at year-end. Our study suggests that early implementation, assessment, and standardization of years of student training is needed for optimal interprofessional geriatric learning. Additionally, alternative student assessment tools should be considered for future studies.

ACKNOWLEDGMENTS

The authors acknowledge Jennifer Yoon, MSGM, MBA, IPGC, coordinator; Jennifer Chang, IPGC student research coordinator; and Terri Williams, Director of Aging and Disability Services, Hope Through Housing.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 485.00 Add to cart

* Local tax will be added as applicable

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.