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All Subjects: Mobile Applications
All Subjects: Polypharmacy
Creators: Lin, Elva
Resource Type: Text

Ride Devil: Ride-Sharing for University Campuses

Description

In this thesis a community-based ride sharing mobile application, Ride Devil, will be introduced and created to provide services for communities such as Arizona State University and its students, faculty, and other affiliates to find safe rides around campus because campus population problem exists. This causes increased transportation costs, decreased parking space availability, and more transportation issues. The Ride Devil application itself is based off on the ride-sharing concept of transportation as introduced, above. Students, faculty, and other university affiliates will drive their own vehicles and use the Ride Devil services in order to coordinate pick-ups with members of its community. Not only is this form of transportation more cost effective than competing transportation models, taxis, but it also promotes safety, community, and educational assistance.

ContributorsVan Hook, Ryan Leo (Author) / Lin, Elva (Thesis director) / Peck, Sidnee (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor)

Created2014-05

Timing, Diligence, and Innovation: A Case-Study Determining Mobile Application Success

Description

The purpose of this thesis was to develop a tool to provide information and data for design teams to use throughout the mobile application design process. Ideally, this would enable teams to see patterns in iterative design, and ultimately use data-driven analysis to make their own decisions. The initial problem was a lack of available information offered by mobile application design teams—the initial goal being to work closely with design teams to learn their decision-making methodology. However, every team that was reached out to responded with rejection, presenting a new problem: a lack of access to quality information regarding the decision-making process for mobile applications. This problem was addressed by the development of an ethical hacking script that retrieves reviews in bulk from the Google Play Store using Python. The project was a success—by feeding an application’s unique Play Store ID, the script retrieves a user-specified amount of reviews (up to millions) for that mobile application and the 4 “recommended” applications from the Play Store. Ultimately, this thesis proved that protected reviews on the Play Store can be ethically retrieved and used for data-driven decision making and identifying patterns in an application’s iterative design. This script provides an automated tool for teams to “put a finger on the pulse” of their target applications.

ContributorsDyer, Mitchell Patrick (Author) / Lin, Elva (Thesis director) / Giles, Charles (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)

Created2016-12

Reducing Polypharmacy with Mobile Apps Among Mental Health Patients

Description

Polypharmacy among psychiatric patients is a concerning trend. From 2007-2010, 58.2% of women and 41.8% of men reported taking five or more prescription drugs within the last 30 days (CDC, 2014). Negative outcomes include prescription drug abuse, side effects, interactions, treatment failure, patient dissatisfaction, and lack of treatment control. The associated practice challenges have led to the following PICOT question. In persons with mental health issues receiving care at an outpatient mental health clinic, does engaging in mindfulness practice versus no mindfulness practice change polypharmacy use over a 3-month period?

The project purpose was to evaluate the effectiveness of Insight Timer mobile mindfulness app at helping patients self-manage distressing symptoms and reduce polypharmacy. Over three weeks, mental health clinic nurse practitioners (NPs) voluntarily recruited patients (n=12) over age 18 using as needed prescriptions (PRNs), and agreed to use Insight Timer mobile mindfulness app for adjunct symptom management. Consenting participants downloaded the mobile app, and completed a brief questionnaire measuring PRN use at the start of app use, and PRN use at their next visit. A Wilcoxon signed-rank test indicated a 10-week mindfulness app trial did not significantly lower total PRN doses compared with pre-app dosing (Z = -.534, p = .593). Paired t-tests revealed no significant change in pre (M = 65.17, SD = 28.64) versus post (M = 67.75, SD = 20.22) OQ45 life functionality results (t(11) = -.420, p = .683) (d = .121) as a result of app use.

Clinically relevant results illustrated 83.33% of participants taking greater than nine PRN doses over the study period used the app six times or more in place of medication. High PRN users employed the app frequently in place of medication regardless of total PRN doses taken. Practice implications and sustainability recommendations include incorporating mobile app use in treatment plans for high PRN users and educating NP’s on the tangible benefits of mindfulness apps in reducing polypharmacy and easing symptom distress on an ongoing basis.
Keywords: mindfulness, mhealth, mobile apps, mobile smart phone, online, RCT, behavior change, polypharmacy.

ContributorsPierce, Albert (Author) / Guthery, Ann (Thesis advisor)

Created2019-04-29