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The Iowa Model is used to promote quality of care. It is a guideline for nurses in their decision-making process. The decision making can include clinical and administration practices. These practices affect patient outcomes. The model is based on problem-solving steps that are a part of the scientific process.
The nursing process is a cyclical and ongoing process that can end at any stage if the problem is solved. The nursing process exists for every problem that the individual/family/community has. The nursing process not only focuses on ways to improve physical needs, but also on social and emotional needs as well. [11] Cyclic and dynamic
The model was developed by Dr. Kathleen Stevens at the Academic Center for Evidence-Based Practice located at the University of Texas Health Science Center at San Antonio. [3] The model has been represented in many nursing textbooks , used as part of an intervention to increase EBP competencies, and as a framework for instruments measuring EBP ...
The GAISE document provides a two-dimensional framework, [11] specifying four components used in statistical problem solving (formulating questions, collecting data, analyzing data, and interpreting results) and three levels of conceptual understanding through which a student should progress (Levels A, B, and C). [12]
The PRECEDE–PROCEED model is a participatory model for creating successful community health promotion and other public health interventions. It is based on the premise that behavior change is by and large voluntary, and that health programs are more likely to be effective if they are planned and evaluated with the active participation of ...
An early literature review of problem structuring proposed grouping the texts reviewed into "four streams of thought" that describe some major differences between methods: [21] the checklist stream, which is step-by-step technical problem solving (not problem structuring as it came to be defined in PSMs, so this stream does not apply to PSMs),
The nurse scheduling problem (NSP), also called the nurse rostering problem (NRP), is the operations research problem of finding an optimal way to assign nurses to shifts, typically with a set of hard constraints which all valid solutions must follow, and a set of soft constraints which define the relative quality of valid solutions. [1]
Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference. [14]A heuristic is a strategy that ignores part of the information, with the goal of making decisions more quickly, frugally, and/or accurately than more complex methods (Gigerenzer and Gaissmaier [2011], p. 454; see also Todd et al. [2012], p. 7).