Pre-analytical specimen labelling and processing errors in the ICU

Introduction: Specimen rejections have been associated with increased in-hospital stay and cost. The majority of errors occur in the pre-analytic phase. Specimen rejection can lead to high rate of recollection, delay in result availability, and high rate of test abandonment. These factors affect patient care and safety. Methods: This study conducted a retrospective review of Patient Safety Learning System (PSLS) reports for the intensive care unit (ICU) at The Ottawa Hospital General Campus (TOH) between 2010 and 2018, and a prospective review using interviews, surveys, and process mapping. Results: From 2098 PSLS reports, 52.6% were related to laboratory specimen collection and processing (pre-analytic phase). Specimen mislabelling with the wrong patient identifier accounted for 9.8% of pre-analytical error reports, while 16.4% of errors were due to non-sufficient quantity (NSQ) of specimen. 12.2 % of pre-analytical error reports involved cytology specimens. Conclusions: Pre-analytical errors are not only costly and resource draining, but may also place a burden on patients. Areas where errors were found include labels and requisitions stored in bedside cabinets, inconsistencies between specimen labels and requisitions, out-dated and difficult to access laboratory manuals, and non-sufficient quantity specimen collection. In the future we hope to start new initiatives to tackle these issues to improve patient safety and hospital efficiencies. This includes the development of a website for the laboratory manual, so that it is more easily accessible and user-friendly. With a new electronic medical record (EMR) system at TOH in 2019, we will explore the affects of pre-analytical processing of specimens.

Patterns of medication errors involving pediatric population reported to the French Medication Error Guichet

Background: Medication error is a global threat to patient safety, particularly in pediatrics. Yet, this issue remains understudied in this population, in both hospital and community settings. Objectives: To characterize medication errors involving pediatrics reported to the French Medication Error Guichet, and compare them with medication errors in adults, in each of the hospital and community settings. Methods: This was a retrospective secondary data analysis of medication errors reported throughout 2013-2017. Descriptive and multivariate analyses were performed to compare actual and potential medication error reports between pediatrics (aged <18 years) and adults (aged >18 and <60 years). Two subanalyses of actual medication errors with adverse drug reaction (ADR), and serious ADR were conducted. Results: We analyzed 4,718 medication error reports. In pediatrics, both in hospital (n=791) and community (n=1,541) settings, antibacterials for systemic use (n=121, 15.7%; n=157, 10.4%, respectively) and wrong dose error type (n=391, 49.6%; n=549, 35.7%, respectively) were frequently reported in medication errors. These characteristics were also significantly more likely to be associated with reported errors in pediatrics compared with adults. In the hospital setting, analgesics (adjusted odds ratio (aOR)=1.59; 95% confidence interval (CI) 1.03:2.45), and blood substitutes and perfusion solutions (aOR=3.74; 95%CI 2.24:6.25) were more likely to be associated with reported medication errors in pediatrics; the latter drug class (aOR=3.02; 95%CI 1.59:5.72) along with wrong technique (aOR=2.28; 95%CI 1.01:5.19) and wrong route (aOR=2.74; 95%CI 1.22:6.15) error types related more to reported medication errors with serious ADR in pediatrics. In the community setting, the most frequently reported pediatric medication errors involved vaccines (n=389, 25.7%). Psycholeptics (aOR=2.42; 95%CI 1.36:4.31) were more likely to be associated with reported medication errors with serious ADR in pediatrics. Wrong technique error type (aOR=2.71; 95%CI 1.47:5.00) related more to reported medication errors with ADR in pediatrics. Conclusions: We identified pediatric-specific medication error patterns in the hospital and community settings. Our findings inform focused error prevention measures, and pave the way for interventional research targeting the needs of this population.

MULTI-FEATURE MODEL FOR DUPLICATE BUG REPORTS DETECTION SOLUTION

For open source software such as Firefox, Eclipse, Subversion,. . . they usually have a system for bug management that sent by users. These bug reports help the system identify various software bugs which makes software maintenance better. However, a situation occurs that there are many error reports sent to the processing repository that these bug reports were previously reported by different users, this is called duplicate bug reports. In this paper, we introduce a multi-feature model combined with weighted improvements from CFC (ClassFeature-Centroid) to detect duplicate bug reportsautomatically. We have experimented on three projects of Mozilla, Eclipse and OpenOffice. The results show that our method can improve 8-12% better as compared to the compared methods.

Anticoagulant medication errors in hospitals and primary care: a cross-sectional study

Objective To assess the proportion of all medication error reports in hospitals and primary care that involved an anticoagulant. Secondary objectives were the anticoagulant involved, phase of the medication process in which the error occurred, causes and consequences of 1000 anticoagulant medication errors. Additional secondary objectives were the total number of anticoagulant medication error reports per month, divided by the total number of medication error reports per month and the proportion of causes of 1000 anticoagulant medication errors (comparing the pre- and post-guideline phase). Design A cross-sectional study. Setting Medication errors reported to the Central Medication incidents Registration reporting system. Participants Between December 2012 and May 2015, 42 962 medication errors were reported to the CMR. Intervention N/A. Main outcome measure Proportion of all medication error reports that involved an anticoagulant. Phase of the medication process in which the error occurred, causes and consequences of 1000 anticoagulant medication errors. The total number of anticoagulant medication error reports per month, divided by the total number of medication error reports per month (comparing the pre- and post-guideline phase) and the total number of causes of 1000 anticoagulant medication errors before and after introduction of the LSKA 2.0 guideline. Results Anticoagulants were involved in 8.3% of the medication error reports. A random selection of 1000 anticoagulant medication error reports revealed that low-molecular weight heparins were most often involved in the error reports (56.2%). Most reports concerned the prescribing phase of the medication process (37.1%) and human factors were the leading cause of medication errors mentioned in the reports (53.4%). Publication of the national guideline on integrated antithrombotic care had no effect on the proportion of anticoagulant medication error reports. Human factors were the leading cause of medication errors before and after publication of the guideline. Conclusions Anticoagulant medication errors occurred in 8.3% of all medication errors. Most error reports concerned the prescribing phase of the medication process. Leading cause was human factors. The publication of the guideline had no effect on the proportion of anticoagulant medication errors.