Integrating QVoC (QR Code with Voice Content) to Enhance Medication Adherence for Geriatric Diabetic Patients

Abstract

Medication compliance is a top-of-mind factor for effective diabetes care, particularly in elderly groups that typically suffer from cognitive, social, and technological barriers. This research sought to establish the impact of incorporating QR Code with Voice Content (QVoC) technology on medication compliance among geriatric diabetic patients in Barangay Morales, Koronadal City. Using a quasi-experimental design, the researchers recruited 20 older diabetic patients through purposive sampling. The intervention was a QVoC device that provided audio cues linked to QR codes for targeted drugs, which were designed to address forgetfulness and complexity in medication regimens. Medication adherence data were collected using a validated questionnaire derived from the Morisky Medication Adherence Scale (MMAS) pre- and post-intervention. The adherence mean score increased from 2.95 (SD = 0.18) before intervention to 3.70 (SD = 0.09) after intervention. Participants reported better comprehension, increased regularity in drug taking, and reduced omitted doses errors. The conclusion drawn by the study was that QVoC is helpful, easy, and very effective technology-based treatment for improving medication adherence among elderly diabetic patients. Future research can explore the long-term outcomes and scalability of such interventions across different populations.