Programs and Communities
The collection collates collections by schools, centers, programs, and research groups.
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Background:
Thirty to fifty percent of cancer patients undergoing chemotherapy will experience
chemotherapy induced nausea and or vomiting (CINV) despite the use of antiemetic prophylaxis Uncontrollable CINV can lead to complications that add extra stress to patients, increase in healthcare costs, and utilization of resources. CINV can lead to chemotherapy dose reductions, treatment delays, chemotherapy changes, or discontinuation of treatment. Guidelines exist to better prevent and treat CINV. Evidence supports the use of guidelines to prevent CINV, however patients still suffer from CINV often due to a lack of guideline adherence.
Objectives:
The purpose of this project was to increase CINV guideline adherence by increasing knowledge of antiemetic guidelines utilizing an educational intervention for providers and nurses at an outpatient oncology office.
Methods:
A brief educational intervention on CINV and recommended NCCN guidelines was
conducted with providers and nurse (n=6) at an oncology practice in Southwestern United States. An evaluation to assess change in knowledge was performed using a pre and post test format. Statistical analysis was performed using descriptive statistics, McNemar tests and Wicoxan Signed Rank Test.
Findings:
There was a significant effect on knowledge of NCCN antiemetic guidelines (Z=-1.89, p=0.059, mean 2.5) post intervention. There also was a significant impact on likelihood to use guidelines in practice (Z=-1.89, p=0.059, mean 2.5). Increasing awareness and likelihood to CHEMOTHERAPY INDUCED NAUSEA AND VOMITING 3 follow recommended guidelines may improve CINV symptoms in patients undergoing chemotherapy and improve the treatment outcomes for these patients.
Methods: A multifaceted intervention was utilized that included educational sessions for providers, adjustments to the electronic health record (EHR), access to toolkits, and workflow changes. Pediatric patients aged 5-18 years and diagnosed with asthma (N = 173) were evaluated using a pre-post design. Provider adherence to key components of clinical practice guidelines were assessed prior to implementation, and a three and six months post-implementation. Data was analyzed using descriptive statists and the Friedman’s ANOVA by rank.
Results: Provider education, EHR adjustments, provider toolkits, and changes to office workflow improved provider adherence to key aspects of asthma clinical practice guidelines. A significant difference was found between the pre and post implementation groups (p < .01).
Conclusion: Increased adherence to clinical practice guidelines leads to fewer complications and an overall improved quality of life. Continuing provider education is critical to sustained adherence.
Invited paper presented at the Workshop on Aspects of Social and Socio-Environmental Dynamics, Arizona State University, January 2007.
Hybrid system models - those devised from two or more disparate sub-system models - provide a number of benefits in terms of conceptualization, development, and assessment of dynamical systems. The decomposition approach helps to formulate complex interactions that are otherwise difficult or impractical to express. However, hybrid model development and usage can introduce complexity that emerges from the composition itself.
To improve assurance of model correctness, sub-systems using disparate modeling formalisms must be integrated above and beyond just the data and control level; their composition must have model specification and simulation execution aspects as well. Poly-formalism composition is one approach to composing models in this manner.
This dissertation describes a poly-formalism composition between a Discrete EVent System specification (DEVS) model and a Cellular Automata (CA) model types. These model specifications have been chosen for their broad applicability in important and emerging domains. An agent-environment domain exemplifies the composition approach. The inherent spatial relations within a CA make it well-suited for environmental representations. Similarly, the component-based nature of agents fits well within the hierarchical component structure of DEVS.
This composition employs the use of a third model, called an interaction model, that includes methods for integrating the two model types at a formalism level, at a systems architecture level, and at a model execution level. A prototype framework using DEVS for the agent model and GRASS for the environment has been developed and is described. Furthermore, this dissertation explains how the concepts of this composition approach are being applied to a real-world research project.
This dissertation expands the tool set modelers in computer science and other disciplines have in order to build hybrid system models, and provides an interaction model for an on-going research project. The concepts and models presented in this dissertation demonstrate the feasibility of composition between discrete-event agents and discrete-time cellular automata. Furthermore, it provides concepts and models that may be applied directly, or used by a modeler to devise compositions for other research efforts.