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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

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
Description

The purpose of this project was to evaluate the State Bar of New Mexico's (SBNM) new podcast series, SBNM is Hear. The podcast was initially developed as a member outreach tool and a new platform for professional development and survey questions were developed to gauge the podcast’s effectiveness in these

The purpose of this project was to evaluate the State Bar of New Mexico's (SBNM) new podcast series, SBNM is Hear. The podcast was initially developed as a member outreach tool and a new platform for professional development and survey questions were developed to gauge the podcast’s effectiveness in these two areas. An electronic survey was deployed to active members of the SBNM through email. Respondents were asked questions regarding their demographics, whether they had listened to the series, and what content they would like to hear in the future. The survey resulted in 103 responses, of which 60% indicated that they had not listened to the podcast. The results showed that listenership was evenly divided between generations and that more females listened to at least one episode. The open-ended responses indicated that the two cohorts of respondents (listeners and non- listeners) viewed the podcast a potential connection to the New Mexico judiciary. Future recommendations include conducting an annual survey to continue to understand the effectiveness of the podcast and solicit feedback for continued growth and improvement

ContributorsPettit, Morgan (Author) / Lauer, Claire (Degree committee member) / Mara, Andrew (Degree committee member) / Carradini, Stephen (Degree committee member)
Created2020-12-10
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The members of Generation Z are often referred to as "digital natives," having been born between 1995–2012, into a time of significant technological advancements. Members of Generation Z were between the ages of 7–24 years old in 2019. The world Generation Z knows has been impacted by the current technological

The members of Generation Z are often referred to as "digital natives," having been born between 1995–2012, into a time of significant technological advancements. Members of Generation Z were between the ages of 7–24 years old in 2019. The world Generation Z knows has been impacted by the current technological environment including the use of personal smartphones and smart devices, the rise in social media use, and the preference of texting and instant messaging over voice/phone communications. The oldest members of Generation Z are just starting to enter the workforce. While there are studies on Generation Z's personal communication preferences and habits, there is very little research how these preferences and habits will impact business communication. This study examines specifically the older members of Generation Z, between ages 18–24 years old, who are currently in the workforce. The study gives insight into how Generation Z's personal communication habits are impacting their expectations of business communication..

The study includes results of a survey of 207 participants and in-depth interviews with six Generation Z members. The survey included both quantitative multiple choice and qualitative open-ended questions on the respondents’ personal and workplace communication habits and expectations. The in-depth interviews expanded on the findings of the survey and added additional context to many of the survey's findings.

Through researching the habits and expectations of members of Generation Z who are currently in the workplace, the study uncovered many unexpected attitudes and behaviors among working Generation Z respondents. These insights include: the

respondents’ awareness of the negatives of technology usage, differences in personal preferences and professional behaviors, the self-regulation of technology usage, and the concern for boundaries between personal and work life.
ContributorsJanssen, Dawn (Author) / Carradini, Stephen (Thesis advisor) / Harris, La Verne Abe (Committee member) / Maid, Barry (Committee member) / Arizona State University (Publisher)
Created2020