Despite the acceptance of best practice as a standard for quality health care delivery, the exact nature of what constitutes best practice does not share universal definition or application. The purpose of this dissertation is to propose an integrative conceptual representation of nursing best practice from the philosophical perspective of complexity science.A five-step concept clarification approach was used to identify the concept, systematize observations and descriptions, develop an operational definition, construct a model, and formulate hypotheses. An expert panel explored preliminary validity of the definition and model.Purposive recruitment of clinicians and scholars was conducted for expert panel membership. The expert panel rated the strength of the model dimensions of adequacy, representative-ness, consistency, clarity, simplicity, generalness, accessibility, importance, and relevance, as well as interest in development and application. Narrative data from open-ended questions was incorporated into model refinement.Clinician properties and context properties emerged as two principle domains of interdependent influence. Key dynamic processes included critical thinking by which clinicians operationalize properties into practice choices, and informative reflection by which the organization monitors and improves performance through information flow and learning. All aspects of the conceptual model, with the exception of consistency of relationships, were ultimately rated as strengths by the expert panel. Relationships among constructs were identified as complex, diverse, and difficult to isolate. Expert perception was that clinician and context properties most likely equally influence nursing best practice, but that context properties may have greater influence than clinician properties over time.This model incorporates a full range of interdependence across clinician and context domains of influence. This model requires further operationalization of constructs prior to formal validity testing. The application of complexity science introduces challenges to research and measurement in the study of complex adaptive systems. The model presented in this dissertation provides a perspective from which a better understanding of health care system interdependencies may arise.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/195170 |
| Date | January 2006 |
| Creators | Williams, Marjory Dana |
| Contributors | Verran, Joyce A., Effken, Judith, McEwen, Marylyn |
| Publisher | The University of Arizona. |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | text, Electronic Dissertation |
| Rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. |
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