ABSTRACT
Purpose: Pharmacists play a key role in preventing medication errors during transitions of care and preventing hospital readmissions through medication reconciliation (MR) programs. This study retrospectively evaluated the implementation of a standardized pharmacy residentdriven MR program for patients at high risk for readmission as defined by the Hospital Readmissions Reduction Program (HRRP). Methods: This was a single-center, retrospective cross sectional study of a pharmacy resident-driven MR program including patients at high risk of readmission defined by HRRP. The primary objective was to determine the number of inpatient regimen interventions identified during the MR. Secondary objectives include severity of interventions, number of medication discrepancies identified, types of interventions and discrepancies identified, and all-cause hospital readmission rates within 30 days of discharge.. Results: Fifty-three high-risk patients were included in the study. Pharmacy intervention recommendations were accepted by prescribers for nine patients (9/53; 17.0%) with a total of 13 accepted inpatient regimen interventions. The two most commonly identified medication classes for interventions were anticonvulsants (3/13; 23.1%) and antidepressants (6/13; 46.2%). Discrepancies on the admission MR were identified for 46 (46/53; 86.8%) patients with a median of three discrepancies per patient (interquartile range 2-4). The most common type of discrepancy was an incorrect or unnecessary drug. The 30-day all-cause readmission rate was 35.8% (19/53) for the total patient Conclusion: A pharmacy-resident driven MR program provided value in clarifying prior to admission medications and may help prevent drugrelated adverse events.
ABSTRACT
OBJECTIVE: To observe rates of returns and to identify trends in returns of potentially abused medications during medication take-back events. METHODS: A retrospective cross-sectional study was conducted of returned medications during medication take-back days from 2013 to 2016 based on a partnership between local law enforcement and a school of pharmacy in a rural South Carolina town. Data collected on returned items included active ingredients, estimated quantity, and prescription fill date if available. The medications were classified by therapeutic class and further identified drugs of potential abuse according to National Institute of Drug Abuse classifications. Descriptive statistics were used to analyze the data collected. RESULTS: In 2013, 742 different medications were returned, and 64 (8.63%) were potential drugs of abuse. In the years 2014-2016, 117 (11.43%) returned medications were potential drugs of abuse. In 2017, 40 (13.27%) returned medications were potentially abused drugs. Opioid analgesics were the most common potentially abused medication returned, accounting for 51.6%, 62.4%, and 65% of potentially abused medications returned in 2013, 2014-2016, and 2017, respectively. The other most common potentially abused returned medications were benzodiazepines (10.9%, 12.8%, 7.5%). The return of hypnotic medications increased over the study period from 0% in 2013 to 12.5% of potentially abused medications in 2017. The return of other medications such as loperamide and dextromethorphan varied over the study period. CONCLUSION: The rate of potentially abused medications returned steadily rose over the period of the study. Heightened awareness and increased opportunities for proper disposal including the placement of permanent drug disposal locations may account for the decreased number of prescriptions returned following 2013.
