Moral Resilience

Moral Resilience

Type: Online
Expiration Date: 10/25/2020
Location: Online


Contact Hour

Overview

How do you provide strategies to strengthen moral resilience among nurses? Developing a moral resilience skill set ensures our workforce is healthy, resilient, and functioning at its highest capacity. We know there is an abundance of research supporting moral distress experiences in nurses. The goal is to reduce the detrimental effects of suffering, burnout, and poor patient outcomes by building moral resilience. Doing this provides a means to mitigate the negative consequences of moral distress by acting with reference to what is right and wrong, empowering ethical competence, and supporting well-being. Watch this pre-recorded webinar as a way to develop strategies to build on and strengthen your moral resilience.

Key Learning Outcomes

  
  • Recognize moral distress in your nursing practice
  • Self-identify ways to build moral resilience

Presented By

  

Liz Stokes, JD, MA, RN
Liz Stokes is a Senior Policy Advisor for the American Nurses Association Center for Ethics and Human Rights. She completed her BSN at the University of Virginia and worked several years as a critical care nurse. Liz received her Juris Doctor from the University of Richmond and worked as a Consultant for the D.C. Board of Nursing interpreting and conferring professional ethics provisions in nursing. She recently completed her Masters in Bioethics from Loyola University Chicago. Her leadership is also demonstrated through various charitable roles in the health and legal communities. She is a member of The American Association of Nurse Attorneys and serves on the board of the American Society for Bioethics and Humanities Affinity Group for Nursing. Liz also serves as an Associate Editor for the Journal of Bioethical Inquiry and is an active volunteer with the District of Columbia Bar Association. Liz is currently an American Academy of Nursing Jonas Health Policy Scholar.

Pricing Information

  
Price: $45.00
Quantity:

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