Evaluating Mobile Health Apps to Improve Medication Adherence in Elderly Patients

Thesis Abstract

The prevalence of chronic illnesses among the elderly population necessitates consistent medication adherence to optimize health outcomes and reduce healthcare costs, yet adherence rates remain suboptimal due to factors such as forgetfulness, cognitive decline, and complex medication regimens. Rapid advancements in mobile health (mHealth) technologies present a promising avenue for addressing these challenges, but empirical evidence evaluating their effectiveness within elderly cohorts remains limited. This study aims to critically evaluate the impact of mobile health applications on medication adherence among elderly patients aged 65 years and above enrolled in outpatient clinics within metropolitan healthcare facilities. Specifically, the study seeks to determine whether the use of tailored mHealth apps improves adherence rates, identify user engagement factors influencing adherence, and explore healthcare providers' perceptions of these technologies' utility in chronic disease management. Employing a mixed-methods research design, the study integrates quantitative analysis of adherence levels with qualitative insights into user experiences and provider perspectives. A quasi-experimental approach was adopted, with a sample of 200 elderly patients randomly assigned to an intervention group utilizing a specifically developed mHealth app designed on the Health Belief Model (HBM) framework and a control group receiving standard care. The app incorporates features such as medication reminders, educational content, and adherence tracking. Data collection instruments include the Morisky Medication Adherence Scale (MMAS-8) at baseline, three months, and six months, supplemented by app usage analytics and semi-structured interviews with healthcare providers. Validity and reliability of the instruments were established through pilot testing and Cronbach's alpha calculations exceeding 0.80. Data analysis involved descriptive statistics to profile demographic and usage characteristics, inferential statistics such as repeated-measures ANOVA to assess adherence changes over time, and multiple regression analysis to identify predictors of improved adherence. Thematic analysis was used to interpret qualitative interview data, providing context to quantitative findings. Additionally, the Technology Acceptance Model (TAM) was employed to explore factors influencing user acceptance and engagement with the mHealth apps. Expected findings indicate a statistically significant increase in medication adherence levels in the intervention group compared to controls over the six-month period, with adherence positively associated with perceived ease of use and perceived usefulness as per TAM constructs. Usage analytics are anticipated to reveal high engagement with reminder and educational features correlating with adherence improvements, while qualitative insights are expected to highlight facilitators and barriers experienced by elderly users and providers. These results are projected to fill existing gaps in the literature regarding longitudinal efficacy and user perspectives of mHealth interventions among elderly populations in real-world settings. This research makes a notable contribution to healthcare informatics by providing rigorous empirical evidence on the effectiveness, user acceptability, and implementation considerations of mobile health applications tailored for elderly patients. It advances understanding of behavioral determinants influencing adherence and offers practical insights for designing patient-centered digital interventions. The study concludes with recommendations for integrating mHealth apps into routine clinical practice, emphasizing user-friendly interfaces, personalized content, and ongoing provider support to enhance continuity of care. Future research directions include exploring long-term adherence sustainability, scalability of app deployment, and the integration of wearable technologies for comprehensive chronic disease management in aged populations.