Abstract
Medication discrepancies at nursing home intake increase the risk of drug-related adverse events. Measuring discrepancy incidence rates and locating the origins of discrepancies can assist in identifying information exchange deficits for high-risk medications. To determine class-specific discrepancy rates, to determine discordance between medication lists, and to explore patient and system-level factors associated with medication discrepancies discovered between the first and second medication reconciliations conducted at nursing home intake. Medication discrepancy data were prospectively collected from four long-term care facilities over a 9-month period. Medication discrepancies were defined as mismatched prescribing orders between at least two medication history lists. Discrepancy locations were defined as the pairs or triads of facilities between which medication history lists were discordant. Unadjusted logistic regressions were used to identify medication classes with the highest discrepancy rates and patient factors significantly associated with any medication discrepancy. 40.8% of newly admitted or re-admitted residents and 6.3% of medications reviewed had at least one medication discrepancy discovered during the second medication reconciliation conducted at nursing home intake. Residents prescribed fewer than 14 medications were at less risk of discrepancies. Residents with Charlson Comorbidity Index of 5, COPD, HF, anemia or HTN were at greater risk of discrepancies. Respiratory and analgesic medications were twice as likely as other medication classes to be discrepant (OR=2.2, 95% CI 1.2-4.4; OR=2.2, 95% CI 1.3-3.5). Most discrepancies occurred between hospital and nursing home lists (44.9%), or between the hospital, nursing home, and community pharmacy lists (39.3%) CONCLUSIONS: Given the higher risk of discrepancies within respiratory or analgesics, transitions of care teams need to prioritize residents with respiratory conditions or pain. Although re-admitted residents' increased discrepancy risk is likely due to poorer health status, miscommunications across the nursing home, hospital and community pharmacy require further research to clarify system failures.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have