Nurse Educator

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September/October 2023 - Volume 48 - Issue 5

  • Marilyn H. Oermann, PhD, RN, ANEF, FAAN
  • 0363-3624
  • 1538-9855
  • 6 issues / year
  • 2.6
    5-year Impact Factor: 2.5
​ChatGPT has shown mixed results in answering medical questions. Authors found that ChatGPT was unable to provide a certifiable response to a PICOT question. The references cited as evidence included incorrect journal information, and many study details summarized by ChatGPT were false. DNP-prepared faculty are expected to maintain a clinical practice, teach and advise students, and fulfill service obligations, often leaving minimal time to build a program of scholarship. Authors describe a model for external mentorship for DNP-prepared faculty to facilitate scholarship. Nurse educator competencies and the role of faculty in students' transition to practice were examined in a scoping review. ​

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Marilyn H. Oermann, Editor-in-Chief
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Preparation of prelicensure nursing students to practice in primary care is challenging due to curricular and practice site barriers. As part of a federally funded project to expand the primary care RN workforce, learning activities to teach key concepts of primary care nursing were designed and implemented. Students studied the concepts while placed in a primary care clinical setting and debriefed in a topical, instructor-facilitated, seminar. Pre- and postsurveys revealed significant student learning related to primary care nursing concepts. Concept-based learning activities can effectively support specialty nursing education in primary and ambulatory care settings. Watch the video and read the article ​for more.
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​Nursing graduates enter health care where they are charged with providing care to diverse patient populations while working within the interdisciplinary care team. The Care of Marginalized Patient Populations Panel presented nursing students with the opportunity to engage with health care professionals from across disciplines who specialize in the care of diverse and marginalized patient populations. The featured patient populations included individuals with HIV/AIDS, patients receiving mental health treatment, individuals experiencing incarceration/homelessness, veterans, individuals with developmental disabilities, and pediatric patients. Learn more about this innovative panel in the video and teaching tip.​
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Online learning platforms may be more useful than traditional textbooks in promoting active learning, engagement, and satisfaction. The purpose was to evaluate a new online interactive education program (OIEP) that replaces traditional textbooks and to understand student and faculty satisfaction, perceived efficacy of the program, student engagement, and whether the OIEP can help NCLEX preparation and reduce burnout. Findings indicated that the OIEP may better support nursing students throughout school and on NCLEX than traditional textbooks. Learn more in their article ​and video.​​​​
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 To our knowledge, word clouds have not been reported as a tool to enhance nursing learners' feelings of inclusivity. This low- or no-cost strategy was implemented in both traditional and accelerated BSN classrooms for foundational courses, such as Pathophysiology/Pharmacology. Course faculty asked questions to which learners responded using an electronic quizzing. With prompts, learners anonymously shared their feelings in that moment, identified concerns for the course, reported strategies they believed course faculty could use to facilitate their sense of belonging, and shared their reason for pursuing nursing school. Learn more in this video and teaching tip.
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 We assessed the reliability and accuracy of ChatGPT in providing answers to a complex clinical question. A Population, Intervention, Comparison, Outcome, and Time (PICOT) formatted question was queried. Full-text articles were reviewed to verify the accuracy of the evidence summary provided by the chatbot. ChatGPT was unable to provide a certifiable response to a PICOT question. The references cited as evidence included incorrect journal information, and many study details summarized by ChatGPT proved to be patently false, including providing fabricated data. Learn more in this video and article​.

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