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Medication regimen complexity vs patient acuity for predicting critical care pharmacist interventions
Susan E Smith1, Rachel Shelley2, Andrea Sikora3,4
1Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Athens, GA, USA.
Medication regimen complexity, a pharmacist-focused metric, better predicts pharmacist interventions than traditional patient acuity scores in the ICU. This supports using tailored metrics for workload prediction to enhance critical care pharmacist services.
Area of Science:
- Pharmacology
- Health Services Research
- Critical Care Medicine
Background:
- Quantifying critical care pharmacist (CCP) workload is crucial for expanding CCP services.
- Medication regimen complexity is a proposed pharmacist-oriented metric linked to patient outcomes and interventions.
- Traditional patient acuity metrics may not fully capture pharmacist workload.
Purpose of the Study:
- To compare the relationship between medication regimen complexity and pharmacist interventions versus traditional patient acuity metrics.
- To evaluate the predictive power of medication regimen complexity for pharmacist workload.
Main Methods:
- Post hoc analysis of a prospective, observational study involving 100 mixed medical/surgical ICU patients.
- Collected pharmacist interventions, patient demographics, medication data, and outcomes.
- Calculated Medication Regimen Complexity-Intensive Care Unit (MRC-ICU) and Acute Physiology and Chronic Health Evaluation (APACHE) II scores.
- Used Spearman rank-order correlation and multiple linear regression analysis.
Main Results:
- Both MRC-ICU and APACHE II scores correlated with ICU interventions at 24 hours, 48 hours, and ICU discharge.
- The relationship between APACHE II scores and interventions was not sustained in adjusted analyses.
- MRC-ICU scores demonstrated a stronger, sustained relationship with pharmacist interventions after adjusting for covariates.
Conclusions:
- Pharmacist-oriented scores, like MRC-ICU, show a stronger association with pharmacist interventions than patient acuity scores.
- Findings support the need for tailored metrics to predict pharmacist workload.
- These metrics can help optimize CCP services and improve patient care.
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