Structures medication use evaluations with criteria development, data collection, and intervention tracking. Use when conducting MUEs, evaluating prescribing patterns, or measuring medication use quality.
Structures medication use evaluations (MUEs) with criteria development, data collection, and intervention tracking for continuous quality improvement.
Medication Use Evaluations (MUEs)—also referred to as Drug Use Evaluations (DUEs)—are systematic, criteria-based assessments of medication prescribing, dispensing, administration, and outcomes. The Joint Commission (MM.08.01.01) requires accredited organizations to conduct ongoing evaluation of medication use, and ASHP Guidelines on Medication-Use Evaluation describe the standard methodology. CMS Conditions of Participation mandate that hospitals review their drug utilization as part of the quality assessment and performance improvement (QAPI) program.
MUEs serve multiple purposes: identifying inappropriate prescribing patterns, measuring guideline adherence, detecting safety concerns, supporting formulary decisions, documenting cost-saving opportunities, and meeting regulatory requirements. Pharmacist-led MUEs have demonstrated reductions in inappropriate antibiotic use (20-40% improvement in stewardship-targeted MUEs), decreased ADR rates, improved guideline compliance, and documented cost savings. The P&T Committee relies on MUE data to make evidence-based formulary and policy decisions. A well-designed MUE follows the Plan-Do-Study-Act (PDSA) cycle and includes clear criteria, representative sampling, objective data collection, analysis with benchmarks, and actionable intervention recommendations.
Develop explicit, measurable, evidence-based criteria for each dimension of medication use:
Prescribing criteria (indication-based):
Dispensing criteria:
Administration criteria:
Outcome criteria:
Criteria format example (for each criterion):
| Criterion # | Criterion Statement | Data Source | Standard (Target) |
|---|---|---|---|
| P-1 | Prescribed indication matches guideline-approved use | EHR diagnosis, order indication | 100% |
| P-2 | Dose adjusted for renal function (CrCl-based) | Labs + pharmacy system | ≥95% |
| P-3 | Duration within guideline-recommended range | MAR, discharge summary | ≥90% |
| O-1 | Clinical improvement documented at follow-up | Progress notes | ≥85% |
| S-1 | ADR documented and reported if occurred | ADR reports, nursing notes | 100% |
Sample selection:
Data collection instrument: Design a standardized data collection form capturing:
Data sources:
For each criterion, calculate:
Statistical analysis (as appropriate):
Benchmark sources:
Based on identified gaps, design targeted interventions:
| Gap Identified | Intervention Type | Implementation |
|---|---|---|
| Off-label use without evidence | Prescribing restriction or criteria-for-use | P&T Committee policy, EHR hard stop |
| Excessive duration | Default stop dates in CPOE | IT order set modification |
| Missing renal dose adjustments | Clinical decision support alert | EHR CDS rule |
| Lack of monitoring labs | Reminder/alert in pharmacy system | Protocol-driven monitoring order set |
| Inappropriate empiric choice | Education + antibiogram distribution | Grand rounds, pocket cards, EHR guidance |
| Cost opportunity | Therapeutic interchange to preferred agent | P&T-approved interchange protocol |
Intervention tracking:
MUE report structure for P&T Committee:
Follow-up MUE: