Anticoagulation-Associated Adverse Drug Events in Hospitalized Patients Across Two Time Periods.

PURPOSE: Anticoagulants often cause adverse drug events (ADEs), comprised of medication errors and adverse drug reactions, in patients. Our study objective was to determine the clinical characteristics, types, severity, cause, and outcomes of anticoagulation-associated ADEs from 2015-2020 (a contemporary period following implementation of an electronic health record, infusion device technology, and anticoagulant dosing nomograms) and to compare them with those of a historical period (2004-2009). METHODS: We reviewed all anticoagulant-associated ADEs reported as part of our hospital-wide safety system. Reviewers classified type, severity, root cause, and outcomes for each ADE according to standard definitions. Reviewers also assessed events for patient harm. Patients were followed up to 30 days after the event. RESULTS: Despite implementation of enhanced patient safety technology and procedure, ADEs increased in the contemporary period. In the contemporary period, we found 925 patients who had 984 anticoagulation-associated ADEs, including 811 isolated medication errors (82.4%); 13 isolated adverse drug reactions (1.4%); and 160 combined medication errors, adverse drug reactions, or both (16.2%). Unfractionated heparin was the most frequent ADE-related anticoagulant (77.7%, contemporary period vs 58.3%, historical period). The most frequent anticoagulation-associated medication error in the contemporary period was wrong rate or frequency of administration (26.1%, n = 253), with the most frequent root cause being prescribing errors (21.3%, n = 207). The type, root cause, and harm from ADEs were similar between periods. CONCLUSIONS: We found that anticoagulation-associated ADEs occurred despite advances in patient safety technologies and practices. Events were common, suggesting marginal improvements in anticoagulant safety over time and ample opportunities for improvement.

Cohort profile: National Diabetes Audit for England and Wales.

The National Diabetes Audit (NDA) collates and analyses data on the quality and variation in clinical care and outcomes for people with diabetes. It also provides opportunities to assess trends, determinants, and outcomes of diabetes to help guide clinical and public health priorities. COHORT: Between 1 January 2003 and 31 March 2020, a total of 5,280,885 people diagnosed with diabetes were included in at least one NDA data collection. To this date, median follow-up was 12 and 8 years for people with type 1 diabetes and type 2 diabetes respectively. Comparisons with the 2019/20 Quality and Outcomes Framework show it included 98% of adults in England and Wales with diagnosed type 1 and type 2 diabetes. Data include demographic characteristics (age, sex, ethnicity, age at diagnosis, deprivation), risk factors (HbA1c , blood pressure, cholesterol, body mass index, smoking status) diabetic and cardiovascular complications and deaths. SECONDARY ANALYSIS: Secondary analyses have included comparisons of HbA1c and blood pressure measurements in cohorts with similar characteristics to the Epidemiology of Diabetes Interventions and Complications study and the UK Prospective Diabetes Study; COVID-19 related mortality in people with type 1 and type 2 diabetes and incidence of type 2 diabetes following admission to intensive care units. FUTURE PLANS: Commissioned NDA reports will continue to inform service development in England and Wales. The same data, with or without linkages to other external datasets, are also a rich resource for clinically orientated research.