L. Johnson

This research calls for attention to complexity theory and the integration of complexity methodologies in policy research. A complexity approach in research practice requires a systems worldview and recognition of non-linearity, networks, self-organization, emergence, and feedback in policy. Simply, if a phenomenon is complex and can be explored from varied contexts and scales, the conceptual frame, and the methodical approach should be able to address the complexity. Complexity science has the capacity to account for complexity in varied contexts, on varied scales, and with an interrelated and interdependent environment. Further, if policy systems are at times simple, complicated, complex, and chaotic, then complexity mythologies combined with traditional qualitative and quantitative methods can bring to light the workings of the elusive black box. Complexity allows for triangulation of both linear and non-linear methodologies integrating qualitative, quantitative, network analysis, and agent-based models, as well as other methodologies. Complexity science is not the panacea to solve all policy problems with perfection. But if you do not acknowledge the complexity you will be missing out on the opportunity to shape patterns of sustainability, to effectively manage complex policy problems to someday solve them.

This volume provides an easily understood presentation of Roy's Adaptation Model of nursing theory which views the person as a biopsychosocial being in constant interaction with the changing environment. Roy believes nursing is needed when unusual stressors or weakened coping mechanisms make the person's usual attempts to cope ineffective. The goal of nursing is thus to promote the adaptation of the patient, leading to a higher level of wellness. Roy's model has been a guiding influence on numerous critical care research studies.