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- All Subjects: Compliance
- Creators: Bansal, Srividya
Description
The constructs of compliance and temperament play an important role in children's school liking and engagement, and these constructs may differ between typically-developing children and children with autism because of the deficits associated with autism. The present study examined group differences among temperament, parent and child behaviors in a compliance context, and school liking and how these processes related to each other. This was the first study to examine school liking in children with high functioning autism and to explore the associations among school liking, temperament, and compliance in this population. Participants included children with high functioning autism (n = 20) and typically-developing children (n = 20) matched on language and mental age, and their parents. Compliance to a parent was observed in a laboratory setting, and temperament and school liking data were collected using parent-report measures. The findings revealed that children with autism had significantly lower Effortful Control (EC) and school liking scores than typically-developing children. However, there were no group differences in compliance, and no significant relation was found between temperament and compliance. Additionally, school liking scores were related to compliance and EC. These findings are discussed with respect to implications for potential future research and use of interventions for children with high functioning autism.
ContributorsInglese, Crystal (Author) / Jahromi, Laudan B (Thesis advisor) / Spinrad, Tracy (Committee member) / Sullivan, Amanda (Committee member) / Arizona State University (Publisher)
Created2011
Description
For the past decade, mobile health applications are seeing greater acceptance due to their potential to remotely monitor and increase patient engagement, particularly for chronic disease. Sickle Cell Disease is an inherited chronic disorder of red blood cells requiring careful pain management. A significant number of mHealth applications have been developed in the market to help clinicians collect and monitor information of SCD patients. Surveys are the most common way to self-report patient conditions. These are non-engaging and suffer from poor compliance. The quality of data gathered from survey instruments while using technology can be questioned as patients may be motivated to complete a task but not motivated to do it well. A compromise in quality and quantity of the collected patient data hinders the clinicians' effort to be able to monitor patient's health on a regular basis and derive effective treatment measures. This research study has two goals. The first is to monitor user compliance and data quality in mHealth apps with long and repetitive surveys delivered. The second is to identify possible motivational interventions to help improve compliance and data quality. As a form of intervention, will introduce intrinsic and extrinsic motivational factors within the application and test it on a small target population. I will validate the impact of these motivational factors by performing a comparative analysis on the test results to determine improvements in user performance. This study is relevant, as it will help analyze user behavior in long and repetitive self-reporting tasks and derive measures to improve user performance. The results will assist software engineers working with doctors in designing and developing improved self-reporting mHealth applications for collecting better quality data and enhance user compliance.
ContributorsRallabhandi, Pooja (Author) / Gary, Kevin A (Thesis advisor) / Gaffar, Ashraf (Committee member) / Bansal, Srividya (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2017