Programs and Communities

Objectives: To provide novel quantification and advanced measurements of surface temperatures (Ts) in playgrounds, employing multiple scales of data, and provide insight into hot-hazard mitigation techniques and designs for improved environmental and public health.

Methods: We conduct an analysis of Ts in two Metro-Phoenix playgrounds at three scales: neighborhood (1 km resolution), microscale (6.8 m resolution), and touch-scale (1 cm resolution). Data were derived from two sources: airborne remote sensing (neighborhood and microscale) and in situ (playground site) infrared Ts (touch-scale). Metrics of surface-to-air temperature deltas (Ts–a) and scale offsets (errors) are introduced.

Results: Select in situ Ts in direct sunlight are shown to approach or surpass values likely to result in burns to children at touch-scales much finer than Ts resolved by airborne remote sensing. Scale offsets based on neighbourhood and microscale ground observations are 3.8 ◦C and 7.3 ◦C less than the Ts–a at the 1 cm touch-scale, respectively, and 6.6 ◦C and 10.1 ◦C lower than touch-scale playground equipment Ts, respectively. Hence, the coarser scales underestimate high Ts within playgrounds. Both natural (tree) and artificial (shade sail) shade types are associated with significant reductions in Ts.

Conclusions: A scale mismatch exists based on differing methods of urban Ts measurement. The sub-meter touch-scale is the spatial scale at which data must be collected and policies of urban landscape design and health must be executed in order to mitigate high Ts in high-contact environments such as playgrounds. Shade implementation is the most promising mitigation technique to reduce child burns, increase park usability, and mitigate urban heating.

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.

Children with congenital heart disease (CHD) are at increased risk for psychosocial issues (PSI), decreased quality of life (QOL), and decreased resilience. The purpose of this project was to implement a screening protocol for PSI, QOL, and resilience, with appropriate psychosocial referral for children with CHD.

A pilot protocol was implemented to screen children with CHD, aged 8-17 years, and parents, for resilience, QOL, and PSI. Referrals for psychosocial services were made for 84.2% of children screened (n = 16) based on scoring outcomes. Statistically significant differences in the parents and children’s resilience mean scores were noted. Higher parental scores may indicate that parents believe their children are more resilient than the children perceive themselves to be.
Early identification of concerns regarding QOL, resilience, and PSI in children with CHD can provide ongoing surveillance, while affording opportunities for improved communication between providers, parents, and children. Routine screening and longitudinal follow-up is recommended.

Diabetes mellitus (DM) is a detrimental disease that afflicts approximately 23.6 million Americans and costs $176 billion dollars annually in direct medical expenses (American Diabetes Association [ADA], 2015). Approximately 208,000 children and adolescents with diabetes are under the age of 20 years (ADA, 105; CDC, 2014). Currently, the standard of medical practice in school-aged children and adolescents with type 1 diabetes is to administer insulin after the child or teen has eaten. The most current evidence has demonstrated a decrease hemoglobin A1C (HbA1c) and preference for pre-prandial insulin administration (Cobry et al., 2010; Danne et al., 2003; DePalma et al., 2011; Enander et al., 2012; Luijf et al., 2010; Scaramuzza et al., 2010).

This Doctor of Nursing Practice (DNP) project delivered an educational program for parents of school age children and adolescents with type 1 diabetes and instituted pre-prandial insulin administration as the standard of care in an outpatient pediatric endocrine clinic. Education was delivered in both verbal and written formats. Data collection included weekly blood glucose reports and HbA1c at initial and follow-up sessions. Descriptive statistics were utilized to analyze the data. No post intervention data was able to be collected due to participant drop out. Future directions to promote this practice change are discussed.

Approximately 15,270 children were diagnosed with cancer last year and a common treatment includes daily radiation therapy. Children must remain immobilized for the planning and treatment to ensure the radiation beam precisely delivers radiation to the tumor and reduces exposure to the normal surrounding tissue. Radiation therapy may last several weeks, which requires children to be put under daily anesthesia for an extended length of time to ensure immobilization. The risks for anesthesia include airway obstruction, broncho/laryngospasm, oxygen desaturation, apnea, nausea/vomiting, hypothermia, hypotension, hypoxia, cardiac arrest, sepsis due to central line access, and death. The relationship between daily anesthesia administration and neurotoxicity is currently unclear.

The purpose of audiovisual distraction (AVD) during radiation therapy was to decrease anesthesia exposure, improve quality of life, and decrease anxiety of patients and families. A plan to implement an AVD device at the time of radiation planning and during daily treatments was conducted in a large pediatric radiation oncology practice in Arizona. Inclusion criteria were children needing radiation, between the ages of 5 and 15, who do not have history or complaint of visual impairment, who have the ability to follow directions for AVD, and were deemed candidates by the Radiation Oncologist and Child Life Specialist through physical and mental assessment. Data collection included anesthesia requirements, heart rate, PedsQL Tool, and time in treatment room gathered at the planning session and at the end of treatment. Microsoft SPSS was used for data analysis. Descriptive statistics were used to describe the sample and outcome variables.

The aggregated data was analyzed to ascertain if the number of children in the inclusion age range had a decreased need for anesthesia, decreased anxiety, and increased quality of life. The primary outcome for the AVD was: all four children who participated were able to undergo radiation therapy without the need for anesthesia . The children were able to remain awake for treatment could attend school, as permissible, eat before treatment, and spend significantly less time at the treatment facility. The concern of repetitive anesthesia and neurotoxicity will not be a factor in the child’s long term late effects of treatment. The reduction of need on anesthesia staff and nursing staff was estimated to save over 500,000 dollars for the 89 treatments the four children underwent with the AVD. The benefits of the intervention not only provided a better treatment experience for all children, but it allowed the facility to utilize the treatment machine more efficiently, providing radiation therapy as an option to even more patients.

Introduction: More than 1.2 million children in military families face long separations from a parent due to deployment or extended assignment, which can lead to significant family dysfunction as well as behavioral, emotional, and scholastic problems for the child. The purpose of From Caring 2 Coping is to identify and provide healthcare providers of military children tools to recognize and address maladaptive and externalizing behaviors of these children, while also assisting the nondeployed parent or caregiver to provide their children with the necessary support to reduce stress and increase their own coping skills.

Materials and Methods: After approval from Arizona State University IRB, children aged 4-11 years who are currently or forecasted to be separated from a military parent due to a deployment or extended assignment, were recruited from a military pediatric clinic along with their primary caregiver. An intervention was adapted from Bowen and Martin’s (2011) Resiliency Model of Role Performance for Service Members, Veterans, and their Families to identify and improve individual assets and family communication skills, find support through social connections, and prepare for potential stressors by constructing a Roadmap of Life. The Parental Stress Scale (PSS) and Pediatric Symptom Checklist (PSC-17) were completed before and after the 4-week intervention along with a final caregiver survey to evaluate the caregiver’s perceptions of From Caring 2 Coping.

Results: Four mothers and eight children completed the program for which Wilcoxon matched-pairs signed-rank test compared results from pre- and post PSC-17 surveys from the children showing significant improvement post-intervention (p = 0.017). The post PSC-17 results were compared to post PSS results with Spearman Correlation Coefficient, r = 0.949, that is statistically significant (p = 0.05). From Caring 2 Coping is rated as an effective program by parents in a postintervention survey that is easy to incorporate into daily activities. Parents ranked highest satisfaction through use of the Family Communication Plan and Family Timeline.

Conclusions: From Caring 2 Coping intervention tools improved family communication, use of individual assets and Roadmap of Life coping skills, thereby improving child and caregiver coping response as evidenced by improved PSC-17 and PSS scores. Basing the intervention on the Resiliency Model of Role Performance which has proven successful in the military population, improves the chances for success in this target population. However, the small sample size of four families requires further study with more families at all levels of the deployment cycle in order to refine the intervention.