Teaching Medication Deprescribing Through Prescribing Simulations

Abstract

Medication deprescribing has gained significant traction as an essential strategy to optimize pharmacotherapy, particularly in populations vulnerable to polypharmacy and its associated adverse outcomes. While deprescribing is recognized for its clinical benefits, teaching this skill to healthcare professionals remains a challenge. Prescribing simulations offer a dynamic, evidence-based approach to enhancing clinicians competencies in deprescribing. This review explores the current evidence, clinical relevance, and practical applications of teaching medication deprescribing through simulations, with a focus on epidemiology, pathophysiology, risk factors, clinical features, diagnosis, management strategies, and guideline recommendations. The article synthesizes recent advances and provides expert insights into the integration of simulation-based deprescribing education in medical curricula.

Introduction

The growing prevalence of polypharmacy, defined as the concurrent use of multiple medications, has become a pressing concern in modern medicine, particularly among the elderly and those with complex chronic conditions. Medication deprescribing the systematic process of identifying and discontinuing drugs when their risks outweigh potential benefits has emerged as a key strategy for improving patient safety and healthcare quality. However, effective deprescribing requires nuanced clinical judgment, comprehensive knowledge of pharmacology, and strong interprofessional communication skills. Traditional didactic teaching methods often fall short in equipping clinicians with the practical skills needed for safe and effective deprescribing. Prescribing simulations, which immerse learners in realistic patient scenarios, have shown promise in bridging this educational gap by fostering critical thinking and decision-making skills specific to deprescribing.

Epidemiology / Disease Burden

Polypharmacy affects an estimated 40% of older adults in developed countries, with prevalence rising in parallel with multimorbidity and aging populations. Adverse drug events (ADEs), drug-drug interactions, and medication non-adherence are significantly more common in patients exposed to polypharmacy. Hospitalizations, functional decline, falls, and increased healthcare utilization are direct consequences, driving the need for systematic deprescribing initiatives. The burden of inappropriate medication use is well-documented, with studies indicating that up to 50% of older adults take at least one unnecessary or potentially harmful medication. Teaching clinicians to deprescribe safely is therefore a public health priority.

Pathophysiology

The physiological changes associated with aging such as altered drug metabolism, decreased renal and hepatic function, and increased sensitivity to pharmacological effects exacerbate the risk of ADEs in patients with polypharmacy. These changes heighten the potential for harm when unnecessary medications are continued without regular review. Mechanistically, polypharmacy can contribute to cumulative anticholinergic burden, impaired cognition, increased fall risk, and organ dysfunction. Deprescribing requires understanding these pathophysiological vulnerabilities and applying pharmacokinetic and pharmacodynamic principles to minimize harm during medication withdrawal.

Risk Factors

Key risk factors for inappropriate medication use include advanced age, multiple chronic diseases, fragmented care, and lack of regular medication review. Additional contributors are cognitive impairment, limited health literacy, and the involvement of multiple prescribers. Patients transitioning between care settings are particularly vulnerable to medication-related harm due to discrepancies in communication and incomplete medication reconciliation. Understanding these risk factors is crucial for designing effective deprescribing education, as simulations can be tailored to reflect real-world complexity and patient diversity.

Clinical Features

Clinical presentations of polypharmacy-related harm are often nonspecific, including falls, confusion, gastrointestinal disturbances, and functional decline. These manifestations frequently overlap with underlying disease processes, complicating diagnosis and management. Simulated patient encounters enable trainees to recognize subtle adverse effects, conduct thorough medication histories, and differentiate between medication-induced symptoms and primary illness. Such experiential learning is vital for building confidence in deprescribing decisions and for prioritizing patient-centered care.

Diagnosis

Diagnosing inappropriate medication use or polypharmacy involves comprehensive medication review, assessment of drug indications, and evaluation of ongoing need versus harm. Tools such as the Beers Criteria, STOPP/START criteria, and Medication Appropriateness Index provide structured approaches to identifying medications suitable for deprescribing. In simulations, learners can practice applying these tools in complex cases, interpret laboratory and clinical data, and develop individualized deprescribing plans. Immediate feedback and debriefing in simulation settings reinforce diagnostic accuracy and reflective practice.

Treatment & Management

Deprescribing is a multifaceted process that includes patient education, shared decision-making, gradual dose reduction, monitoring for withdrawal effects, and interprofessional collaboration. Effective management strategies emphasize the importance of clear communication with patients and caregivers, setting realistic goals, and documenting rationale for deprescribing. Simulation-based education allows clinicians to rehearse these steps, navigate challenging conversations, and manage unexpected clinical scenarios, thereby improving real-world competence and patient safety.

Recent Advances / Emerging Therapies

Recent advances in deprescribing education focus on the integration of high-fidelity simulations, virtual patients, and digital platforms. Studies have demonstrated that simulation-based learning enhances knowledge retention, confidence, and application of deprescribing principles compared to traditional lectures alone. Emerging therapies include the use of artificial intelligence to identify deprescribing opportunities and the development of decision-support tools embedded in electronic health records. These innovations are increasingly incorporated into simulation curricula, preparing clinicians to leverage technology in optimizing medication management.

Guideline Recommendations

International guidelines, including those from the American Geriatrics Society and the UK National Institute for Health and Care Excellence (NICE), endorse routine medication review and deprescribing as standard practice in the care of older adults and patients with chronic diseases. Guidelines recommend individualized assessment, patient engagement, and ongoing monitoring during deprescribing. Incorporating these recommendations into simulation scenarios ensures that learners are trained in guideline-concordant care, fostering consistency and quality in clinical practice.

Conclusion

Teaching medication deprescribing through prescribing simulations represents a transformative approach to medical education. By immersing healthcare professionals in realistic, guideline-driven scenarios, simulation-based training enhances critical thinking, diagnostic acumen, and communication skills essential for effective deprescribing. As polypharmacy and medication-related harm continue to challenge healthcare systems worldwide, adopting simulation-based deprescribing education is vital for improving patient outcomes, advancing clinical practice, and meeting the evolving needs of diverse patient populations.