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1.
Crit Care Nurs Clin North Am ; 13(4): 497-509, 2001 Dec.
Article in English | MEDLINE | ID: mdl-11778337

ABSTRACT

The UIHC Department of Nursing is nationally known for its work on use of research to improve patient care. This reputation is attributable to staff members who continue to question "how can we improve practice?" or "what does the latest evidence tell us about this patient problem?" and to administrators who support, value, and reward EBP. The revisions made in the original Iowa Model are based on suggestions from staff at UIHC and other practitioners across the country who have implemented the model. We value their feedback and have set forth this revised model for evaluation and adoption by others.


Subject(s)
Clinical Nursing Research , Evidence-Based Medicine , Models, Nursing , Quality Assurance, Health Care , Humans , Iowa
2.
Crit Care Nurs Clin North Am ; 13(4): 587-604, 2001 Dec.
Article in English | MEDLINE | ID: mdl-11778346

ABSTRACT

Experimental multisite studies are needed to test adoption interventions that promote use of evidence-based guidelines in critical care practice. A research model (see Fig. 2) based on Rogers' diffusion of innovation model provides a conceptual guide for selecting interventions to test in translational research studies. Studies should address the four major areas of innovation adoption: (1) characteristics of the guideline, (2) users of the guideline, (3) methods of communicating the guideline, and (4) the social system in which it is being adopted. It is imperative that researchers study which interventions are most effective in promoting use of critical care evidence-based practices by nurses and physicians and how the social system of critical care environments affects adoption of such practices. Without this empiric knowledge, health care systems have little guidance in how to most effectively promote adoption of scientific evidence to improve care of critically ill patients.


Subject(s)
Clinical Nursing Research , Critical Care , Diffusion of Innovation , Models, Nursing , Humans , Nursing Assessment , Pain/nursing
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