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Prespecified High-Risk Medication Combinations and Gastroprotection Gaps Among Hospitalized Adults with Type 2 Diabetes and Polypharmacy: A Cross-Sectional MedicationSafety Study at a Tertiary Hospital in Nasiriyah, Iraq

Tarig Osman, Zahraa Shayaa, Fatima Raheef, Ruqayah Abbas, Asmaa Mahdi, Narjes Gattan, Zeina Kardoush, Doaa Eanid et al.

International Journal of Drug Delivery Technology, 2026

165 participants

Abstract

Hospitalized patients with type 2 diabetes mellitus undergoing polypharmacy are subjected to high-risk prescribing practices, such as predetermined medication combinations or deficiencies in necessary gastroprotection. Data about medication-safety indicators in Iraqi inpatient settings is scarce. To assess the prevalence of designated high-risk medication combinations and deficiencies in gastroprotection among patients with type 2 diabetes mellitus undergoing polypharmacy admitted to Al-Hussein Teaching Hospital in Nasiriyah City, Iraq. Secondary exploratory studies examined the association between the total number of medications and the presence of at least one predetermined medication combination. This secondary outcome was not analyzed to draw definitive conclusions regarding causation or independent prediction. This cross-sectional medication-safety study involved eligible patients who were individuals aged 18 years or older, hospitalized at Al-Hussein Teaching Hospital (Nasiriyah City, Iraq), diagnosed with type 2 diabetes mellitus, and administered five or more drugs. The main descriptive outcomes were the point prevalence of four predetermined medication combinations of concern and the proportion of gastroprotection-eligible patients not receiving acid-suppressive therapy. As a secondary exploratory outcome, multivariable logistic regression was employed to elucidate the adjusted association between total medication count and the presence of at least one medication…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 165 participants or records.

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