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Although direct acting oral anticoagulants (DAOCs) are generally considered safer than older anticoagulants, they are still high-risk medications. This review found that between 5.3% and 37.3% of patients experienced either a prescription, administration, or dosing error. Prescribing errors constituted the majority of error types, and common causes were active failures, including wrong drug or wrong dose.

Healthcare providers are increasingly disclosing their errors to patients. This review summarizes available guidance for how and when to report other providers’ errors, particularly those outside their own facility or system. Guidelines tended to be ambiguous and restricted to incompetence.

Fall prevention in healthcare settings is a patient safety priority. This systematic review found that most clinical practice guidelines provide consistent recommendations for fall prevention for older adults. Guidelines consistently recommend strategies such as risk stratification, medication review, and environment modification.

Healthcare professionals involved in a medical error often experience psychological distress. This article describes the validation of a revised version of the Second Victim Experience and Support Tool (SVEST-R), which was expanded to include measures of resilience and desired forms of support.

Overuse of medical care represents a significant patient safety challenge. This review discusses the impacts of healthcare overuse and unnecessary care on patient safety, including contributions to avoidable adverse events, increasing risks for healthcare-acquired infections, and adverse psychological outcomes.

Anti-coagulants are classified as high-risk medications due to their potential to cause serious patient harm if not administered correctly. This hospital created a multidisciplinary anticoagulant safety taskforce to reduce errors and improve patient safety. The article describes the implementation process, including the use of the 2017 Institute for Safe Medication Practices (ISMP) Medication Safety Self-Assessment for Antithrombotic Therapy tool.

Dashboards can be used to synthesize data and visualize patient safety indicators and metrics to facilitate decision-making. The authors reviewed design features of patient safety dashboards from 10 hospitals and discuss the variation in the use of performance indicators, style, and timeframe for displayed metrics. The authors suggest that future research explore how specific design elements contribute to usability, and which approaches are associated with improved outcomes.

Patient safety indicators (PSI) are measures that focus on quality of care and potentially preventable adverse events. This study estimated odds of preventable mortality of older adults with traumatic injuries and identified the PSIs that are associated with the highest level of preventable mortality.  Strategies to reduce preventable mortality in older adults are presented (e.g. utilization of national guidelines, minimization of central venous catheter use, addressing polypharmacy).

This article summarizes the principles of high reliability organizations (HROs) and how one healthcare organization sought to become an HRO by emphasizing a culture of safety and the learning healthcare system. The authors discuss how the principles of high-reliability were successfully leveraged during the COVID-19 pandemic.

Failure to identify and prevent clinical deterioration can reflect the quality and effectiveness of care. This study used routinely collected emergency event data to identify failure to rescue events at one tertiary children’s hospital. Over a nine-year period, 520 emergency events were identified; 25% were cardiac arrest events and 60% occurred among patients who had been admitted for more than 48 hours. Over the nine-year period, failure to rescue events decreased from 23.6% to 2.5%.

This study sought to validate an emergency department (ED) safety questionnaire developed in the United States, and adapted for use in the UK. The survey was validated by 33 patient safety leads and used in a multi-center survey. Analysis highlighted risks and positive factors (e.g., positive safety culture) present in surveyed EDs.

Building on previous research on the use of text mining related to medication administration error incidents, researchers in this study found that artificial intelligence can be used to accurately classify the free text of medication incident reports causing serious or moderate harm, to identify target risk management areas.

Misuse of prescription opioids represents a serious patient safety issue. Using commercial claims from 2014 - 2018, researchers examined the association between the 2016 CDC guidelines to reduce unsafe opioid prescribing and opioid dispensing for patients with four common chronic pain diagnoses. Findings indicate that the release of the 2016 guidelines was associated with reductions in the percentage of patients receiving opioids, average dose prescribed, percentage receiving high-dose prescriptions, number of days supplied, and the percentage of patients receiving concurrent opioid/benzodiazepine prescriptions. The authors observe that questions remain about how clinicians are tailoring opioid reductions using a patient-centered approach.

Using data from the Veterans Health Administration National Center for Patient Safety, this retrospective study found that suicide and opioid overdose are the most serious healthcare-related adverse events affecting homeless veterans. Identified root causes include issues related to risk assessment for suicidal or overdose behaviors as well as poor interdisciplinary communication and coordination of care.

The Joint Commission implemented medication management titration standards in 2017, with revisions in 2020. Researchers surveyed critical care nurses about their experiences with medication titration, use of clinical judgment when titrating, nurses’ scope and autonomy, and their moral distress. Of 781 respondents, 80% perceived the titration standards caused delays in patient care and 68% reported suboptimal care, both of which significantly and strongly predicted moral distress.