Background Clinical decision support systems (CDSSs) are a good strategy for preventing medication errors and reducing the incidence and severity of adverse drug events (ADEs). However, these systems are not very effective and are subject to multiple limitations that prevent their implementation in clinical practice. Objectives The objective of this study was to evaluate the effectiveness of an advanced CDSS, HIGEA, which generates alerts based on predefined clinical rules to identify patients at risk of an ADE. Methods A multidisciplinary team defined the system and the clinical rules focusing on medication errors commonly encountered in clinical practice. Four intervention programs were defined: (1) dose adjustment in renal impairment; (2) adjustment of anticoagulation/antiplatelet therapy; (3) detection of biochemical/hematologic toxicities; and (4) therapeutic drug monitoring. We performed a 6-month observational prospective study to analyze the effectiveness of these clinical rules by calculating the positive predictive value (PPV). Results The team defined 211 clinical rules. During the study period, HIGEA generated 1,086 alerts (8.9 alerts per working day), which were reviewed by pharmacists. Fifty-one percent (554/1,086) of alerts generated an intervention to prevent a possible ADE; of these, 66% (368/554) required a documented modification to therapy owing to a real prescription error intercepted. The intervention program that induced the highest number of modifications to therapy was the dose adjustment in renal impairment program (PPV = 0.51), followed by the adjustment of anticoagulation/antiplatelet therapy program (PPV = 0.24). The percentage of accepted interventions was similar in surgical units (68%), medical units (67%), and critical care units (63%). Conclusion Our study offers evidence that HIGEA is highly effective in preventing potential ADEs at the prescription stage.
Pharmacists add important value in preventing PE, and their interventions are financially beneficial for the institution.
The combination of OBV/PTV/r+DSV with or without ribavirin for 12-week settings achieved a high rate of SVR12, with an acceptable safety profile in routine clinical care.
Summary What is known and objectives Inadequate management of chronic medication puts patients at risk and causes unnecessary suspension of surgical procedures. The objective of the study was to calculate the rate of cancellation of elective surgical procedures due to inadequate management of chronic medications and to analyse the underlying causes of cancellation. Methods We designed an analytic, observational, retrospective study of all elective surgical procedures performed from July to October 2017 in a tertiary hospital. The main variable was the percentage of surgeries cancelled owing to inadequate management of chronic medications. Other variables recorded included demographic characteristics, time between the preanaesthesia evaluation and surgery, drug involved, and the reason for incorrect management of the medication. Results During the study period, 5415 surgical procedures were programmed, and 793 (14.6%) were cancelled. Cancellations due to inadequate patient preparation accounted for 5.3% (42 cases), and 19 were related to incorrect medication management (2.4% of the total number of cancellations). The 19 patients, who were mostly men (73.7%), had a median age of 76 years (IQR 68‐81). The drugs involved were acenocoumarol (6), enoxaparin (4), clopidogrel (4), direct‐acting oral anticoagulants (2), acetylsalicylic acid (1), tocilizumab (1) and leflunomide (1). The reasons for drug mishandling were poor understanding of the anaesthesiology recommendations (15) and lack of a preanaesthesia evaluation (4). What is new and conclusion Inadequate management of chronic medications (2.4%) is not the most frequent reason for cancellation, although it is one of the easiest to avoid. Based on our results, starting in October 2017, the Pharmacy Department began to offer a pharmaceutical service to patients with doubts about the preoperative management of chronic medications.
A failure modes, effects and criticality analysis was supported by an observational medication error rate study to analyze the impact of Phocus Rx®, a new image-based workflow software system, on chemotherapy compounding error rates. Residual risks that should be a target for additional action were identified and prioritized and pharmacy staff satisfaction with the new system was evaluated. In total, 16 potential failure modes were recognized in the pre-implementation phase and 21 after Phocus Rx® implementation. The total reduction of the criticality index was 67 percent, with a reduction of 46 percent in material preparation, 76 percent in drug production and 48 percent in quality control subprocesses. The relative risk reduction of compounding error rate was 63 percent after the implementation of Phocus Rx®, from 0.045 to 0.017 percent. The high-priority recommendations defined were identification of the product with batch and expiration date from scanned bidimensional barcodes on drug vials and process improvements in image-based quality control. Overall satisfaction index was 8.30 (SD 1.06) for technicians and 8.56 (SD 1.42) for pharmacists ( p = 0.655). The introduction of a new workflow management software system was an effective approach to increasing safety in the compounding procedures in the pharmacy department, according to the failure modes, effects and criticality analysis method.
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