Physicians' responses to computerized drug interaction alerts with password overrides.

BACKGROUND: Although evidence has suggested that computerized drug-drug interaction alert systems may reduce the occurrence of drug-drug interactions, the numerous reminders and alerts generated by such systems could represent an excessive burden for clinicians, resulting in a high override rate of not only unimportant, but also important alerts. METHODS: We analyzed physicians' responses to alerts of relative contraindications and contraindications for coadministration in a computerized drug-drug interaction alert system at Hokkaido University Hospital. In this system, the physician must enter a password to override an alert and continue an order. All of the drug-drug interaction alerts generated between December 2011 and November 2012 at Hokkaido University Hospital were included in this study. RESULTS: The system generated a total of 170 alerts of relative contraindications and contraindication for coadministration; 59 (34.7 %) of the corresponding orders were cancelled after the alert was accepted, and 111 (65.3 %) were overridden. The most frequent contraindication alert was for the combination of 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors and fibrates. No incidents involving drug-drug interactions were reported among patients who were prescribed contraindicated drug pairs after an override. CONCLUSIONS: Although computerized drug-drug interaction alert systems that require password overrides appear useful for promoting medication safety, having to enter passwords to override alerts may represent an excessive burden for the prescribing physician. Therefore, both patient safety and physicians' workloads should be taken into consideration in future designs of computerized drug-drug interaction alert systems.

Analysis of the Implementation of Blood Tests Specified in the Package Insert After Prescription of Thiamazole.

OBJECTIVES: The antithyroid drug thiamazole has long been known to cause the serious adverse effect of agranulocytosis, and performing regular blood tests is listed among the warnings on the package insert. We conducted a retrospective survey of how often doctors conducted blood tests in accordance with the package insert when thiamazole was prescribed at our hospital. METHODS: The subjects were patients to whom thiamazole was newly prescribed at our hospital between April 2004 and March 2012. During the target period, thiamazole was newly prescribed to 438 patients. RESULTS: We found that blood tests after prescription of thiamazole as listed in the warning section on the package insert are not performed sufficiently. The rate at which white blood cell counts were obtained decreased over time. The rate at which differential leukocyte counts were obtained was approximately 80% of white blood cell counts at all observational time points. In contrast, the percentage of subjects whose white blood cell counts were measured increased according to a time-trend analysis. CONCLUSIONS: This study revealed that blood tests after prescription of thiamazole as listed in the warning section on the package insert are not performed sufficiently at our hospital. The rate at which differential leukocyte counts were obtained was approximately 80% of white blood cell counts at all observational periods. Physician education should be more rigorously performed than presently done, and automatic generation of warnings that urge blood tests and patient education regarding the importance of blood tests is also important.

Effects of age and glucose levels on lactate levels in cerebrospinal fluid examination of neurodegenerative diseases.

Despite recent studies examining the association between neurodegenerative diseases and mitochondrial dysfunction, there are not sufficient data on factors that influence cerebrospinal fluid (CSF) lactate levels. Thus, we investigated factors that affect CSF lactate levels in neurodegenerative diseases. We extracted laboratory findings, including CSF lactate, glucose, and protein levels, and demographic and background information, including age and gender, from the electronic medical records of patients with neurodegenerative diseases in order to explore factors that have an impact CSF lactate levels. These patients had been admitted to our department and underwent a CSF examination between April 2007 and March 2015. Data from 83 patients (average age 64.5years; 45 males and 38 females) were analyzed. The patients' diagnoses included amyotrophic lateral sclerosis, multiple system atrophy, spinocerebellar degeneration, corticobasal syndrome, Parkinson's disease, and Huntington's disease. CSF lactate levels were higher in patients with a neurodegenerative disease who were aged 65years and older relative to those who were aged under 65years (p<0.05), and CSF lactate and glucose levels showed a moderate positive correlation (r=0.487). Age and CSF glucose levels influenced CSF lactate levels even after adjusting for gender, age, CSF protein levels, and CSF glucose levels. When investigating CSF lactate levels in neurodegenerative diseases, it is necessary to consider patients' age and CSF glucose levels.

Time trend of injection drug errors before and after implementation of bar-code verification system.

BACKGROUND: Bar-code technology, used for verification of patients and their medication, could prevent medication errors in clinical practice. OBJECTIVE: Retrospective analysis of electronically stored medical error reports was conducted in a university hospital. METHODS: The number of reported medication errors of injected drugs, including wrong drug administration and administration to the wrong patient, was compared before and after implementation of the bar-code verification system for inpatient care. RESULTS: A total of 2867 error reports associated with injection drugs were extracted. Wrong patient errors decreased significantly after implementation of the bar-code verification system (17.4/year vs. 4.5/year, p< 0.05), although wrong drug errors did not decrease sufficiently (24.2/year vs. 20.3/year). The source of medication errors due to wrong drugs was drug preparation in hospital wards. CONCLUSION: Bar-code medication administration is effective for prevention of wrong patient errors. However, ordinary bar-code verification systems are limited in their ability to prevent incorrect drug preparation in hospital wards.