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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.
Background: Asthma is a chronic illness that impacts 10.9% of the pediatric population in Arizona. Poor asthma understanding and management leads to high-utilization of emergency rooms and urgent care clinics, negatively impacting the healthcare economy. Poor asthma management also leads to decreased health outcomes and impacts on the child’s academic functioning, mental health, and overall quality of life. Current evidence supports use of written asthma action plans (WAAP) and inhaler/spacer instruction to improve asthma management.
Methods: The intervention was an evidence-based educational session provided to the staff of a military, pediatric primary care clinic in southwest Arizona regarding the use of WAAP, the Asthma Control Test (ACT) and integrated inhaler/spacer instruction. Chart reviews were conducted to evaluate the documentation of use of WAAP, ACT, and inhaler/spacer education.
Results: Charts were collected from pre-intervention (n = 33) and post-intervention (n = 18). Data analysis demonstrated a statistically significant higher use of WAAP (U = 0.008, p < 0.05, d = 0.83). Although there was not a statistically significant change in use of ACT tool, Cohen’s value (d = 0.48) suggested a moderate positive effect. A Pearson correlation coefficient was also calculated for the relationship between use of ACT tool and use of WAAP, demonstrating a moderate positive correlation (r (49) = .372, p < .01).
Conclusions: An evidence-based education session for pediatric staff members is a cost-effective and simple method of improving pediatric asthma management practices.
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.