Health Promotion Frameworks (Nursing)

Health Promotion Frameworks (Nursing)

by Heide Cygan, DNP, RN
Health promotion is the process of enabling people to increase control over their own health, while health promotion frameworks are for nurses and other healthcare professionals to understand and contribute to health outcomes. This course offers an introductory look at health promotion frameworks and their different approaches to health promotion. A basic understanding of public health concepts would be beneficial to comprehend this course fully. As understanding how to contribute to a population's health is a crucial aspect of public health nursing care, a thorough understanding of health promotion frameworks is essential for all public health nurses.

Course Details

  • Videos 7
  • Duration 0:42 h
  • Quiz questions 22
  • Concept Pages 0


Your Educators of course Health Promotion Frameworks (Nursing)

 Heide Cygan, DNP, RN

Heide Cygan, DNP, RN

Dr. Heide Cygan is an Associate Professor at Rush University College of Nursing in Chicago, where she is also the co-program director of the Advanced Public Health Nursing and Transformative Leadership: Population Health DNP programs. Dr. Cygan is board certified Advanced Public Health Nurse.

Dr. Cygan received her BSN from the University of Michigan and her DNP from the University of Illinois at Chicago.

For her professional achievements, she earned the Education MVP award from Rush University in 2019 and was named one of the 40 under 40 Emerging Nurse Leaders by Illinois Nurses Foundation in 2018. Dr. Cygan believes that all nurses have a commitment to understand the impact they have on the health of the public, and strives to energize students to examine patient outcomes through a population health lens.

Within Lecturio, Dr. Cygan will teach a course on Public Health Nursing.

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Good lecture
By Nnaemeka E. on 10. September 2023 for Theory of Reasoned Action and Planned Behavior (Nursing)

Dr, Cyan really explained everything in great detail.I love her examples used when explaining each models.