Medical and pharmacy students shadowing advanced practice nurses to develop interprofessional competencies

Appl Nurs Res. 2018 Feb:39:103-108. doi: 10.1016/j.apnr.2017.11.012. Epub 2017 Nov 8.

Abstract

Aim: This article describes a job-shadowing project that partnered second-year medical and third-year pharmacy students with an advanced practice nurse (APN) for a four-hour job- shadowing experience.

Background: In order to address the Interprofessional Education Collaborative (IPEC) Expert Panel core competencies of interprofessional communication, teamwork, and roles/responsibilities, this project implemented a job-shadowing experience to increase students' knowledge of APN roles and interprofessional collaborative team practices.

Methods: Forty volunteer medical and pharmacy students were paired together and completed the job-shadowing activity with an APN. Assessment of knowledge was measured by pre- and post-project surveys.

Results: Pre- and post-job-shadowing differences demonstrated statistical significance in the interprofessional domains of role awareness, collaboration and communication. These results suggest that an APN job-shadowing experience is effective in developing medical and pharmacy students' competencies in interprofessional collaborative practice.

Conclusion: Specific recommendations include creating enhanced job-shadowing experiences within the curriculums of medicine, pharmacy, and nursing students, and assessing for evidence of enhanced IPEC competencies as a result of these learning experiences.

Keywords: And provider role awareness; Interprofessional education; Interprofessional job-shadowing; Interprofessional practice; Shadowing.

MeSH terms

  • Adult
  • Advanced Practice Nursing / education*
  • Clinical Competence*
  • Female
  • Humans
  • Interprofessional Relations*
  • Male
  • Mentoring / methods*
  • Students, Medical / psychology*
  • Students, Medical / statistics & numerical data
  • Students, Pharmacy / psychology*
  • Students, Pharmacy / statistics & numerical data
  • Young Adult