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Due to socioeconomic disparities and geographic isolation, rural Kentucky residents bear a greater burden of poor health compared to national averages. Specifically, rural Kentucky residents are at greater risk of becoming obese and suffering from comorbidities of obesity such as type 2 diabetes, hypertension and cardiovascular disease. The purpose of the present study was two-fold. First, we the barriers to nutrition and physical activity unique to rural Kentucky counties which high proportions of obese adults (< 40%) were examined and extrapolated. Second, this information was used to develop a health and wellness app tailored to rural Kentucky counties. The objective was met via a formative assessment regarding causes for obesity in three rural Kentucky counties using focus groups. From these discussions, two major themes arose: barriers to good nutrition and physical activity, and desired web‐app features. From this assessment, FitFaceoff was developed and released into the same counties. Usage and user interaction were assessed using GoogleAnalytics™ software. Analysis revealed poor user liking and unsuccessful implementation of FitFaceoff, however further qualitative research is needed to evaluate poor user reception of FitFaceoff and possible future directions.

Children with autism spectrum disorder (ASD) show significant deficits in communication, emotion recognition, perspective taking, and social skills. One intervention gaining increased attention is the use of computer assisted instruction (CAI) to teach social, emotional and perspective-taking skills to individuals with ASD with the purpose of improving theory of mind skills. This study evaluated the effectiveness of CAI for improving theory of mind skills in four children with high functioning autism ages 5 to 12 years. A single-subject multiple baseline research design across participants was utilized to evaluate the effectiveness of CAI. The software contained 22 instructional scenarios that asked participants to identify emotions of characters based on situational cues displayed in line drawn pictures and audio feedback for correct and incorrect responses. Mind-reading skills were assessed using ten randomly selected scenarios for various emotions and no audio feedback. Visual analysis of the data revealed that all four participants increased mind-reading skills during the CAI condition. Additionally, this study evaluated levels of task engagement during experimental conditions. Three of the four participants showed an increase in task engagement during CAI compared to paper-based social stories used during baseline. Generalization of skills was assessed through the use of social scenarios acted out by family members of participants. All four participants were able to correctly identify emotions displayed in generalization scenarios. Results demonstrated that CAI was an effective and socially viable method for improving ToM skills in children with autism and they could generalize their skills to untrained settings.

The focus of this study is the problem of declining trend in obstructive sleep apnea (OSA) patient compliance. Studies reported improved compliance in patients with chronic diseases due to technology-based interventions. However, researchers have not investigated the advantages of technology to improve the compliance of OSA patients in detail. The specific problem was the lack of engagement between patients and healthcare managers, resulting in low compliance within OSA patients. The purpose of this qualitative study was to evaluate how technology-based interventions can improve OSA patient engagement with the healthcare managers resulting in improved compliance with treatment procedures. In this study, the technology acceptance model was used as the instrument in evaluating the information collected through interviews with 20 healthcare managers about their attitudes toward usage, perceived usefulness, and perceived ease of use. The transcribed interviews were open-coded using the RQDA library in R Studio. In general, results from this study indicated that the healthcare managers showed a positive attitude towards the use of technology for patient engagement and expressed that the technology is useful for patient engagement and is easier to use. However, they identified technology-related and patient-related challenges in implementing technology for patient engagement. Further, the respondents identified process-related and patient-related opportunities in using technology for patient engagement. Results from this study have practice and policy implications by enabling healthcare managers to devise better compliance plans for OSA patient management. The findings could have a social benefit by helping healthcare managers to implement technology-based interventions to better achieve a higher compliance resulting in better patient health at lower costs.