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Psychiatric-Mental Health Nursing: Data-Driven Policy Platform for a Psychiatric Mental Health Care Workforce
Michael J Rice1, Janette Stalling2, Andrew Monasterio3
11 Michael J. Rice, PhD, APRN, FAAN, University of Colorado, Anschutz Medical Center, Aurora, CO, USA.
Objective:
To describe the development of a data-driven policy platform for psychiatric nurses roles and outcomes to alleviate the current mental health crisis in the United States.
Method:
Drawing on census data, statistical reports, and analysis of the current psychiatric mental health nursing (PMHN) workforce, a data-driven policy platform is designed to recruit, train, and prepare psychiatric nurses for addressing the nation's mental health crises.
Results:
As noted by the Institute of Medicine's 2010 & 2016 reports on the future of nursing, the largest available health care workforce is not being used effectively, particularly to address the nation's mental health care needs. The development of a data-driven platform provides direction for psychiatric nurses in developing the workforce to meet the national mental health crisis.
Conclusions:
From education through practice and research, psychiatric-mental health nursing must build and share a data-driven, relationship-to-care platform emphasizing how PMHN care affects patient outcomes. Using a data-based platform to grow supportive public opinion, psychiatric mental health nursing can build a workforce to modify national accreditation standards and laws supporting data-driven PMHN care. The specialty profession must also seek to modify the nursing profession's attitude toward embracing data-driven platform of care relationships to psychiatric mental health outcomes.
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