Suppr超能文献

执业护士和医学生在标准化患者试点模拟前后对团队合作的认知

Nurse Practitioner and Medical Students' Perceptions of Teamwork Before and After a Standardized Patient Pilot Simulation.

作者信息

Tankimovich Mariya, Swails Jennifer, Hamburger Marcelle

机构信息

About the Authors Mariya Tankimovich, DNP, FNP-C, CNE, Assistant Professor and FNP Track Coordinator for Clinical Education, Simulation, and Advisement, Department of Graduate Studies, Cizik School of Nursing, UTHealth, Houston, Texas. Jennifer Swails, MD, is an Assistant Professor of Internal Medicine and Residency Program Director, McGovern Medical School, and Director of Interprofessional Education, UTHealth. Marcelle Hamburger, MS, is Senior Program Manager, McGovern Medical School, UTHealth. For more information, contact Dr. Tankimovich at

出版信息

Nurs Educ Perspect. 2020 May/Jun;41(3):171-173. doi: 10.1097/01.NEP.0000000000000503.

Abstract

Attitudes toward interprofessional education are positive overall, but inferences about its key elements are hard to draw. Studies with qualitative strands examining interprofessional education's key elements (communication, collaboration/teamwork, learning in practice, and understanding of roles) are especially needed. This mixed quantitative/qualitative standardized patient simulation involved 10 family nurse practitioner and 10 medical students. Both cohorts expressed improved teamwork confidence but were concerned about the complexity of teamwork and pressures on communication. At the complexity/communication nexus, nurse practitioner students thought interprofessional trust and equality were key; medical students saw the importance of strategizing multiple professional perspectives.

摘要

总体而言,对跨专业教育的态度是积极的,但很难推断其关键要素。尤其需要开展定性研究,以考察跨专业教育的关键要素(沟通、协作/团队合作、实践学习以及角色理解)。这项定量与定性相结合的标准化患者模拟研究涉及10名家庭执业护士和10名医科学生。两个群体都表示团队合作信心有所增强,但担心团队合作的复杂性和沟通压力。在复杂性/沟通关系方面,执业护士学生认为跨专业信任和平等是关键;医科学生则认识到从多个专业角度制定策略的重要性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验