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In the last decade, the number of people who own a mobile phone or portable electronic communication device has grown exponentially. Recent advances in smartphone technology have enabled mobile devices to provide applications (“mHealth apps”) to support delivering interventions, tracking health treatments, or involving a healthcare team into the treatment

In the last decade, the number of people who own a mobile phone or portable electronic communication device has grown exponentially. Recent advances in smartphone technology have enabled mobile devices to provide applications (“mHealth apps”) to support delivering interventions, tracking health treatments, or involving a healthcare team into the treatment process and symptom monitoring. Although the popularity of mHealth apps is increasing, few lessons have been shared regarding user experience design and evaluation for such innovations as they relate to clinical outcomes. Studies assessing usability for mobile apps primarily rely on survey instruments. Though surveys are effective in determining user perception of usability and positive attitudes towards an app, they do not directly assess app feature usage, and whether feature usage and related aspects of app design are indicative of whether intended tasks are completed by users. This is significant in the area of mHealth apps, as proper utilization of the app determines compliance to a clinical study protocol. Therefore it is important to understand how design directly impacts compliance, specifically what design factors are prevalent in non-compliant users. This research studies the impact of usability features on clinical protocol compliance by applying a mixed methods approach to usability assessment, combining traditional surveys, log analysis, and clickstream analysis to determine the connection of design to outcomes. This research is novel in its construction of the mixed methods approach and in its attempt to tie usability results to impacts on clinical protocol compliance. The validation is a case study approach, applying the methods to an mHealth app developed for early prevention of anxiety in middle school students. The results of three empirical studies are shared that support the construction of the mixed methods approach.
ContributorsPatwardhan, Mandar (Author) / Gary, Kevin A (Thesis advisor) / Pina, Armando (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2016
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Description
The purpose of this study was to examine if certain child demographics and risk modifiers of the child (i.e., anxiety sensitivity, depressive symptoms, anxiety control, and social competence) predict program response to a Child Anxiety Indicated Prevention and Early Intervention protocol (Pina, Zerr, Villalta, & Gonzales, 2012). This anxiety protocol

The purpose of this study was to examine if certain child demographics and risk modifiers of the child (i.e., anxiety sensitivity, depressive symptoms, anxiety control, and social competence) predict program response to a Child Anxiety Indicated Prevention and Early Intervention protocol (Pina, Zerr, Villalta, & Gonzales, 2012). This anxiety protocol focused on cognitive behavioral techniques (e.g., systematic and gradual exposure) that used culturally responsive implementation strategies (Pina, Villalta, & Zerr, 2009). The current study aims to investigate specific predictors of program response to this anxiety protocol. First, it was of interest to determine if child demographics and risk modifiers of the child at baseline would predict program response to the early anxiety intervention protocol. Second, it was of interest to see if an interaction with one of the four risk modifiers at baseline and sex or protocol condition would predict program response to the early anxiety intervention protocol. This study included 88 youth (59.14% Hispanic/Latino and 40.9% Caucasian) who were recruited through referrals from public schools and randomized to one of two protocol conditions (i.e., child-only or the child-plus-parent protocol), which had varying levels of mothers’ participation within the Child Anxiety Indicated Prevention and Early Intervention protocol (Pina et al., 2012). Participants ranged from 6 to 17 years of age (M = 10.36, SD = 2.73), and 48.9% were boys. The four risk modifiers were assessed using the Childhood Anxiety Sensitivity Index (CASI; Silverman, Fleisig, Rabian, & Peterson, 1991), Children's Depression Inventory (CDI; Kovacs, 1981), Anxiety Control Questionnaire for Children-Short Form (ACQ-C-S; Weems, 2005), and Social Competence scale from the Child Behavior Checklist (CBCL; Achenbach & Resorla, 2001). Program response was measured by pre-to-posttest changes in anxiety outcomes. Regarding the first aim, each of the four risk modifiers was related to pre-to-posttest changes in program response outcomes. Regarding the second aim for interactions between each of the four focal predictors, sex and protocol condition emerged as moderators. These results have potential implications for clinicians and researchers interested in understanding why some children might experience more or less change when participating in an early intervention protocol for anxiety.
ContributorsWynne, Henry (Author) / Pina, Armando (Thesis advisor) / Luthar, Suniya (Committee member) / Enders, Craig (Committee member) / Wolchik, Sharlene (Committee member) / Arizona State University (Publisher)
Created2017