Increasing Diversity in the Nurse Anesthesia Profession by Implementation of a Diversity-Based Educational Workshop for Michigan High School Students
Implementation of a Diversity-Based Educational Workshop for High School Students Background / Purpose: In the United States, our society continues to diversify, yet our healthcare profession is not keeping up with the demographics of the U.S. population. The nursing profession is falling short in r...
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Zusammenfassung: | Implementation of a Diversity-Based Educational Workshop for High School Students
Background / Purpose: In the United States, our society continues to diversify, yet our healthcare profession is not keeping up with the demographics of the U.S. population. The nursing
profession is falling short in relation to having a diverse workforce, as persons of color represent
only 16.8% of all nurses, and, only 11% of Certified Registered Nurse Anesthetists (CRNAs)
(AANA, 2019). The gap in racial and cultural representation in the health care system is evident:
there is not a diverse CRNA healthcare workforce. The current representation of the nurse
anesthesia workforce for the individuals and communities they serve emphasizes
Method: This was a proof-of-concept workshop to educate a diverse group of high school students on all aspects of the nurse and nurse anesthesia profession through a lecture-type informational presentation, hands-on simulation / skills lab experience, and participation in a CRNA led discussion panel. A resource tool kit was provided for each student encompassing information on financial aid and scholarship information, contacts for in-state nurse anesthesia programs, local and national diversity-focused nursing organizations, and a time-framed guide called, “My Path to Becoming a CRNA” that lists the steps from high school to entering a nurse anesthesia program.
Results: Statistical analysis was performed through comparison of pre- and post-event surveys. A total 34 surveys were completed by the workshop participants and utilized as part of the sample size. Basic descriptive statistics, frequencies, means and standard deviations were calculated. In addition, a t-test was used to compare the means of pre-and post-test data. There was statistical significance found (p |
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