Impact of a pharmacy technician-centered medication reconciliation program on medication discrepancies and implementation of recommendations

Autor: Sarah K. Kraus, Laura Pontiggia, Sanchita Sen, Michelle M. Murphy
Rok vydání: 2017
Předmět:
medicine.medical_specialty
Multivariate analysis
Medication history
education
Pharmacist
Pharmacy Technicians
lcsh:RS1-441
Pharmaceutical Science
Pharmacy
mesh:Medication Errors
Logistic regression
Pharmacy Service
030226 pharmacology & pharmacy
lcsh:Pharmacy and materia medica
03 medical and health sciences
Hospital
0302 clinical medicine
Medication Reconciliation
medicine
media_common.cataloged_instance
Medication Errors
030212 general & internal medicine
mesh:Regression Analysis
Original Research
media_common
mesh:Pharmacy Technicians
Descriptive statistics
business.industry
mesh:Medication Reconciliation
lcsh:RM1-950
mesh:Hospital
United States
lcsh:Therapeutics. Pharmacology
Family medicine
Regression Analysis
mesh:United States
business
mesh:Pharmacy Service
Pharmacy technician
Pharmacy Service Hospital
Zdroj: Pharmacy Practice (Granada) v.15 n.2 2017
SciELO España. Revistas Científicas Españolas de Ciencias de la Salud
instname
Pharmacy Practice, Vol 15, Iss 2 (2017)
Pharmacy Practice (Granada), Volume: 15, Issue: 2, Article number: 901, Published: JUN 2017
Pharmacy Practice
Popis: Objectives: To evaluate the impact of a pharmacy-technician centered medication reconciliation (PTMR) program by identifying and quantifying medication discrepancies and outcomes of pharmacist medication reconciliation recommendations. Methods: A retrospective chart review was performed on two-hundred patients admitted to the internal medicine teaching services at Cooper University Hospital in Camden, NJ. Patients were selected using a stratified systematic sample approach and were included if they received a pharmacy technician medication history and a pharmacist medication reconciliation at any point during their hospital admission. Pharmacist identified medication discrepancies were analyzed using descriptive statistics, bivariate analyses. Potential risk factors were identified using multivariate analyses, such as logistic regression and CART. The priority level of significance was set at 0.05. Results: Three-hundred and sixty-five medication discrepancies were identified out of the 200 included patients. The four most common discrepancies were omission (64.7%), non-formulary omission (16.2%), dose discrepancy (10.1%), and frequency discrepancy (4.1%). Twenty-two percent of pharmacist recommendations were implemented by the prescriber within 72 hours. Conclusion: A PTMR program with dedicated pharmacy technicians and pharmacists identifies many medication discrepancies at admission and provides opportunities for pharmacist reconciliation recommendations.
Databáze: OpenAIRE