Associated Factors and Predictors of Medication Errors in Saudi Arabia: A Systematic Review

Abstract

Background: Medication errors pose significant health risks and economic burdens globally. In Saudi Arabia, the reported error rates range from 1.6% to 84.8%; yet, the contributing factors remain inadequately understood. This systematic review aims to identify the associated factors and predictors of medication errors across Saudi healthcare settings. Methods: Electronic databases (EMBASE, CINAHL, and PubMed) were searched for peer-reviewed articles published from January 2010 to January 2025. Studies reporting statistically significant factors associated with medication errors or error reporting in Saudi Arabia were included. A quality assessment was conducted using the Appraisal tool for Cross-Sectional Studies (AXIS). Results: Thirteen studies met the inclusion criteria. Healthcare-worker-related factors included age (workers < 35 years are more prone to errors), experience level (4–5 years optimal for reporting), negative attitudes toward errors (AOR = 14.08), and a lack of training (AOR = 7.29). Patient-related factors included advanced age (1.0–2.7-times increased risk), males, polypharmacy (1.1–5.3-times increased risk), and high-risk medications (hypoglycemic drugs, warfarin, and antibiotics). System-related factors included day shift timing (AOR = 1.1), oral medication route (AOR = 0.4), ICU setting (3.3-times increased risk), medical unit setting (1.7-times increased risk), confusing packaging, and look-alike/sound-alike medications. Conclusions: Our findings emphasize that medical errors arise from a complex interplay between healthcare-worker-related factors (age, experience, and attitudes) and hospital-administration-related factors (reporting mechanisms, documentation practices, shift timing, and workload).