Development of a Mobile App for Medication Adherence Monitoring and Patient Education

Thesis Abstract

Medication non-adherence remains a pervasive challenge in healthcare systems worldwide, contributing significantly to suboptimal clinical outcomes, increased hospitalizations, and escalating healthcare costs. Despite established strategies aimed at improving adherence, the integration of technology-driven solutions, particularly mobile health applications, remains underexplored in many settings. This study addresses the critical need for innovative tools to monitor and promote medication adherence through the development of a tailored mobile application designed to facilitate medication management, deliver personalized patient education, and enable real-time adherence monitoring. The primary aim is to create and evaluate a user-centered mobile app that enhances medication adherence and empowers patients through education and behavioral prompts. The specific objectives of this study are threefold to design and develop a mobile application specifically targeting medication adherence, to assess the usability and acceptability of the app among adult patients with chronic illnesses, and to evaluate the app’s effectiveness in improving medication adherence over a six-month period. The study further aims to explore the influence of health literacy and socio-demographic variables on adherence outcomes facilitated by the app. Methodologically, the study adopts a mixed-methods research design anchored in the Technology Acceptance Model (TAM) and the Health Belief Model (HBM). The quantitative component encompasses a randomized controlled trial (RCT) involving 300 adult patients diagnosed with hypertension or diabetes recruited from outpatient clinics. Participants are randomly assigned to intervention and control groups, with the intervention group receiving the mobile app and the control receiving standard care. Data collection instruments include validated adherence scales (e.g., Morisky Medication Adherence Scale), a custom usability questionnaire embedded within the app, and health literacy assessments. The qualitative component involves semi-structured interviews with a subset of 30 participants from the intervention group to explore user experiences and perceptions, analyzed thematically. Data analysis employs descriptive and inferential statistical techniques, including multiple regression analysis to identify predictors of adherence, paired t-tests to compare adherence scores pre- and post-intervention, and ANOVA to examine differences across demographic variables. Thematic analysis of interview transcripts provides insights into user engagement, perceived barriers, and facilitators to app utilization. The development process incorporates iterative user-centered design principles, involving end-users in wireframing, prototype testing, and refinement to ensure usability and relevance. Expected findings indicate that the mobile app will significantly improve medication adherence scores among users, with higher acceptance and sustained engagement observed in patients with higher health literacy levels. The regression analysis is anticipated to reveal that app usability and perceived usefulness are strong predictors of adherence improvements. Qualitative insights are expected to generate themes related to ease of use, trust in digital health tools, and perceived impact on daily medication routines. This research makes a substantive contribution to the growing body of knowledge on digital health interventions by providing empirical evidence for the efficacy of mobile apps in promoting medication adherence. It demonstrates the feasibility of integrating technology into routine clinical practice and highlights factors influencing user engagement and adherence outcomes. The study also advances theoretical understanding by testing the applicability of TAM and HBM in this context. In conclusion, the mobile application offers a feasible, cost-effective, and scalable solution for improving medication adherence and patient education. Recommendations include broader implementation of the app within healthcare systems, further development to include multimedia educational content, and integration with electronic health records for comprehensive care management. Future research should explore long-term adherence sustainability, scalability in different healthcare settings, and the potential for incorporating artificial intelligence for personalized adherence interventions.