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From Brainstorming to Strategic Plan: The Framework for the Society for the Advancement of Disaster Nursing: A Work
Joanne C Langan1, Roberta Proffitt Lavin, Anne Reid Griffin
1Saint Louis University, School of Nursing, St Louis, Missouri (Dr Langan); The University of Tennessee Knoxville, College of Nursing (Dr Lavin); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, California (Ms Griffin and Dr Dobalian); Johns Hopkins School of Nursing, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (Dr Veenema); and Division of Health Systems Management and Policy, School of Public Health, The University of Memphis, Memphis, Tennessee (Dr Dobalian).
Abstract:
Professional health care societies play a critical role in promoting excellence in patient care, educating and certifying their members on evidence-based practices, and pursuing relevant research agendas to advance the science in the field. Disaster nursing is a subspecialty of professional nursing characterized by a unique knowledge base and set of skills and abilities not used in normal daily health care activities. A disaster or large-scale public health emergency creates a sudden, unanticipated surge of patients with health care needs that far exceeds the capacity of the health care system. This creates a significant burden and risk for the nurses participating in the response. Recognizing the critical need to define scope of practice and core standards for disaster nursing and to promote greater nursing leadership in disaster preparedness and response, a group of subject matter experts established a professional society to provide leadership and guidance. The strategic planning process as described by M. Kwestel et al was used as the overarching framework for describing the design, development, and implementation of the new society. Establishment of the Society for the Advancement of Disaster Nursing is a definitive step toward improving national nurse readiness in the United States.
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Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...