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Background: Clinical pharmacists have a vital role during COVID-19 pandemic in mitigating medication errors, particularly prescribing errors in hospitals. That is owing to the fact that prescribing errors during the COVID-19 pandemic has increased. Aim: This study aimed to evaluate the impact of the clinical pharmacist on the rate of prescribing errors on COVID-19 patients in a governmental hospital. Methods: The study was a pre-post study conducted from March 2020 till September 2020. It included the pre-education phase P0; a retrospective phase where all the prescriptions for COVID-19 patients were revised by the clinical pharmacy team and prescription errors were extracted. Followed by a one-month period; the clinical pharmacy team prepared educational materials in the form of posters and flyers covering all prescribing errors detected to be delivered to physicians. Then, the post-education phase P1; all prescriptions were monitored by the clinical pharmacy team to assess the rate and types of prescribing errors and the data extracted was compared to that from pre-education phase. Results: The number of prescribing errors in P0 phase was 1054 while it was only 148 in P1 Phase. The clinical pharmacy team implemented education phase helped to significantly reduce the prescribing errors from 14.7/1000 patient-days in the P0 phase to 2.56/1000 patient-days in the P1 phase (p-value <0.001). Conclusion: The clinical pharmacist significantly reduced the rate of prescribing errors in patients with COVID-19 which emphasizes the great role of clinical pharmacists' interventions in the optimization of prescribing in these stressful conditions.
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Background: Because COVID-19 patients are vulnerable to prescribing errors (PEs) and adverse drug events, designing and implementing a new approach to prevent prescribing errors (PEs) involving COVID-19 patients has become a priority in pharmacotherapy research. Objectives: To investigate whether using WhatsApp to deliver prescribing error (PE)-related clinical scenarios to community pharmacists could enhance their ability to detect PEs and conduct successful pharmaceutical interventions (PIs). Methods: In this study, 110 community pharmacies were recruited from different regions across Jordan and equally allocated to 2 groups. Over the course of 4 weeks, WhatsApp was used to send PEs-related clinical case scenarios to the active group. The second group was controlled with no clinical scenarios. After completion of the 4-week phase, pharmacists from both groups were asked to document PEs in COVID-19 patients and their interventions using a data-collection form. Results: The incidence of PEs in COVID-19 patients documented in the active group (18.54%) was higher than that reported in the control group (3.09%) (P = .001). Of the 6598 and 968 PIs conducted by participants working in the active and control group pharmacies, 6013 (91.13%) and 651 (67.25%) were accepted, respectively. The proportions of wrong drug (contraindication), wrong drug (unnecessary drug prescribed/no proof of its benefits), and omission of a drug between the active and control groups were 15.30% versus 7.21% (P = .001), 11.85% versus 6.29% (P = .03), and 17.78% versus 10.50% (0.01), respectively. Additionally, the proportions of lethal, serious, and significant errors were 0.74% versus 0.35% (P = .04), 10.52% versus 2.57% (0.002), and 47.88% versus 9.57% (0.001), respectively. Addition of drug therapy interventions (AOR = 0.62; 95% CI, 0.21-0.84) and errors with significant clinical seriousness (AOR = 0.32; 95% CI, 0.16-0.64). Conclusions PEs involving COVID-19 patients in community settings are common and clinically significant. The intervention assessed in this study could be promising for designing a feasible and time-efficient interventional tool to encourage pharmacists' involvement in identifying and correcting PEs in light of COVID-19.
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BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has challenged healthcare globally. An acute increase in the number of hospitalized patients has necessitated a rigorous reorganization of hospital care, thereby creating circumstances that previously have been identified as facilitating prescribing errors (PEs), e.g. a demanding work environment, a high turnover of doctors, and prescribing beyond expertise. Hospitalized COVID-19 patients may be at risk of PEs, potentially resulting in patient harm. We determined the prevalence, severity, and risk factors for PEs in post-COVID-19 patients, hospitalized during the first wave of COVID-19 in the Netherlands, 3 months after discharge. METHODS: This prospective observational cohort study recruited patients who visited a post-COVID-19 outpatient clinic of an academic hospital in the Netherlands, 3 months after COVID-19 hospitalization, between June 1 and October 1 2020. All patients with appointments were eligible for inclusion. The prevalence and severity of PEs were assessed in a multidisciplinary consensus meeting. Odds ratios (ORs) were calculated by univariate and multivariate analysis to identify independent risk factors for PEs. RESULTS: Ninety-eight patients were included, of whom 92% had ≥1 PE and 8% experienced medication-related harm requiring an immediate change in medication therapy to prevent detoriation. Overall, 68% of all identified PEs were made during or after the COVID-19 related hospitalization. Multivariate analyses identified ICU admission (OR 6.08, 95% CI 2.16-17.09) and a medical history of COPD / asthma (OR 5.36, 95% CI 1.34-21.5) as independent risk factors for PEs. CONCLUSIONS: PEs occurred frequently during the SARS-CoV-2 pandemic. Patients admitted to an ICU during COVID-19 hospitalization or who had a medical history of COPD / asthma were at risk of PEs. These risk factors can be used to identify high-risk patients and to implement targeted interventions. Awareness of prescribing safely is crucial to prevent harm in this new patient population.
Subject(s)
COVID-19 , Ambulatory Care Facilities , COVID-19/epidemiology , Hospitalization , Humans , Prevalence , Prospective Studies , Risk Factors , SARS-CoV-2ABSTRACT
PURPOSE: The objective of this study was to implement a standardized process across health systems to determine the prevalence and clinical relevance of prescribing errors intercepted by pharmacists. METHODS: This prospective, multicenter, observational study was conducted across 11 hospitals. Pharmacist-intercepted prescribing errors were collected during inpatient order verification over 6 consecutive weeks utilizing a standardized documentation process. The potential harm of each error was evaluated using a modified National Coordinating Council for Medication Error Reporting and Prevention (NCC-MERP) index with physician validation, and errors were stratified into those with potentially low, serious, or life-threatening harm. Endpoints included the median error rate per 1,000 patient days, error type, and potential harm with correlating cost avoidance. RESULTS: Pharmacists intervened on 7,187 errors, resulting in a mean error rate of 39 errors per 1,000 patient days. Among the errors, 46.6% (n = 3,349) were determined to have potentially serious consequences and 2.4% (n = 175) could have been life-threatening if not intercepted. This equates to $874,000 in avoided cost. The top 3 error types occurring with the highest frequency were "wrong dose/rate/frequency" (n = 2,298, 32.0%), "duplicate therapy" (n = 1,431, 19.9%), and "wrong timing" (n = 960, 13.4%). "Wrong dose/rate/frequency" (n = 49, 28%), "duplicate therapy" (n = 26, 14.9%), and "drug-disease interaction" (n = 24, 13.7%) errors occurred with the highest frequency among errors with potential for life-threatening harm. "Wrong dose/rate/frequency" (n = 1,028, 30.7%), "wrong timing" (n = 573, 17.1%), and "duplicate therapy" (n = 482, 14.4%) errors occurred with the highest frequency among errors with potentially serious harm. CONCLUSION: Documentation of pharmacist intervention on prescribing errors via a standardized process creates a platform for multicenter analysis of prescribing error trends and an opportunity for development of system-wide solutions to reduce potential harm from prescribing errors.