Polypharmacy in Type 2 Diabetes Patients of the PROLANIS Program in Indonesia: Identification of Potential Drug-Drug Interaction

Authors

  • Ida Lisni Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jl. Raya Bandung Sumedang KM.21, Hegarmanah, Jatinangor, Sumedang, Indonesia. Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Bhakti Kencana University, Jl. Soekarno Hatta No.754, Cipadung Kidul, Panyileukan, Bandung, Jawa Barat, Indonesia.
  • Keri Lestari Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Jl. Raya Bandung Sumedang KM.21, Hegarmanah, Jatinangor, Sumedang, Indonesia.
  • Lucia Rizka Andalusia The Indonesian Food and Drug Authority, Jl. Percetakan Negara No.23, Central Jakarta, Indonesia.

DOI:

https://doi.org/10.35516/jjps.v18i1.2783

Keywords:

drug-drug interactions, polypharmacy, prolanis, type 2 diabetes

Abstract

The identification of potential drug-drug interactions (pDDIs) becomes critical in evaluating medication safety among diabetes mellitus patients. This study aimed to identify the pDDIs of polypharmacy in type 2 diabetes mellitus (T2D) patients of the Chronic Disease Management Program or Program Pengelolaan Penyakit Kronis (PROLANIS) Program. The T2D patients aged ≥18 were selected consecutively. A total sample of prescriptions containing ≥5 drugs was included. The mean age of patients was 62.70 ± 9.85 years (range 24–92 years), 62% were elderly, and 56.8% were females. Polypharmacy prescriptions were most prevalent in the Internal Medicine Department (92.8%). Of the 250 prescriptions, approximately 78.4% contained at least one pDDI. A total of 515 pDDIs were identified, with a median of 2 pDDIs per patient. Of these, 89.7% were of moderate severity. The drug pairs involved in moderate-severity pDDIs were glimepiride-metformin, glimepiride-bisoprolol, and metformin-ramipril. The number of drugs per prescription is a significant predictor of pDDIs (aOR = 7.48; 95% CI = 1.73-32.32). Subsequent analysis revealed that prescriptions containing eight or more drugs were 4.31 times more likely to have more than five pDDIs (p=0.010). Pharmacists must play a pivotal role in managing chronic disease medication to reduce drug interaction risks. This study suggests developing a digital system for healthcare professionals to improve patient medication safety.

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Published

2025-03-25

How to Cite

Lisni, I., Lestari, K. ., & Andalusia, L. R. (2025). Polypharmacy in Type 2 Diabetes Patients of the PROLANIS Program in Indonesia: Identification of Potential Drug-Drug Interaction . Jordan Journal of Pharmaceutical Sciences, 18(1), 245–257. https://doi.org/10.35516/jjps.v18i1.2783

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