Abstract The COVID-19 pandemic has led to the rapid expansion of telehealth services as healthcare organizations aim to mitigate community transmission while providing safe patient care. As technology adoption rapidly increases, operational telehealth teams must maintain awareness of critical information such as patient volumes and wait times, patient and provider experience, and telehealth platform performance. Using a model of situation awareness as a conceptual foundation and a user-centered design approach we describe our process for rapidly developing and disseminating dashboard visualizations to support telehealth operations. We used a five-step process to gain domain knowledge, identify user-needs, identify data sources, design and develop visualizations, and iteratively refine these visualizations. Through this process we identified three distinct stakeholder groups and designed and developed visualization dashboards to meet their needs. Feedback from users demonstrated the dashboards support situation awareness and informed important operational decisions. Lessons learned are shared to provide other organizations with insights from our process.

Hepatitis C virus (HCV) infection is a major cause of chronic liver disease. HCV cure has been linked to improved patient outcomes. In the era of direct‐acting antivirals (DAAs), HCV cure has become the goal, as defined by sustained virological response 12 weeks (SVR12) after completion of therapy. Historically, African‐Americans have had lower SVR12 rates compared to White people in the interferon era, which had been attributed to the high prevalence of non‐CC interleukin 28B (IL28B) type. Less is known about the association between race/ethnicity and SVR12 in DAA‐treated era. The aim of the study is to evaluate the predictors of SVR12 in a diverse, single‐center Veterans Affairs population. We conducted a retrospective study of patients undergoing HCV therapy with DAAs from 2014 to 2016 at the VA Greater Los Angeles Healthcare System. We performed a multivariable logistic regression analysis to determine predictors of SVR12, adjusting for age, HCV genotype, DAA regimen and duration, human immunodeficiency virus (HIV) status, fibrosis, nonalcoholic fatty liver disease (NAFLD) fibrosis score, homelessness, mental health, and adherence. Our cohort included 1068 patients, out of which 401 (37.5%) were White people and 400 (37.5%) were African‐American. Genotype 1 was the most common genotype (83.9%, N = 896). In the adjusted models, race/ethnicity and the presence of fibrosis were statistically significant predictors of non‐SVR. African‐Americans had 57% lower odds for reaching SVR12 (adj.OR = 0.43, 95% CI = 1.5‐4.1) compared to White people. Advanced fibrosis (adj.OR = 0.40, 95% CI = 0.26‐0.68) was also a significant predictor of non‐SVR. In a single‐center VA population on DAAs, African‐Americans were less likely than White people to reach SVR12 when adjusting for covariates.

The expanded availability of telehealth due to the COVID-19 pandemic presents a concern that telehealth may result in an unnecessary increase in utilization. We analyzed 4,114,651 primary care encounters (939,134 unique patients) from three healthcare systems between 2019 and 2021 and found little change in utilization as telehealth became widely available. Results suggest telehealth availability is not resulting in additional primary care visits and federal policies should support telehealth use.

Intravenous (IV) vancomycin is one of the most commonly used antibiotics in U.S. hospitals. There are several complexities associated with IV vancomycin use, including the need to have an accurate patient weight for dosing, to provide close monitoring to ensure appropriate drug levels, to monitor renal function, and to continue delivery of the medication at prescribed intervals. There are numerous healthcare system factors, including workflow processes, policies, health information technology, and clinical knowledge that impact the safe use of IV vancomycin. Past literature has identified several safety hazards associated with IV vancomycin use and there are some proposed solutions. Despite this literature, IV vancomycin–related safety issues persist. We analyzed patient safety event reports describing IV vancomycin–related issues in order to identify where in the medication process these issues were appearing, the type of medication error associated with each report, and general contributing factor themes. Our results demonstrate that recent safety reports are aligned with the issues already identified in the literature, suggesting that improvements discussed in the literature have not translated to clinical practice. Based on our analysis and current literature, we have developed a shareable infographic to improve clinician awareness of the complications and safety hazards associated with IV vancomycin and a self-assessment tool to support identification of opportunities to improve patient safety during IV vancomycin therapy. We also recommend development of clear guidelines to optimize health information technology systems to better support safe IV vancomycin use.

A nonpunitive approach to safety event reporting and analysis is an important dimension of healthcare organization safety culture. A system-based safety event review process, one focused on understanding and improving the conditions in which individuals do their work, generally leads to more effective and sustainable safety solutions. On the contrary, the more typical person-based approach, that blames individuals for errors, often results in unsustainable and ineffective safety solutions, but these solutions can be faster and less resource intensive to implement. We sought to determine the frequency of system-based and person-based approaches to adverse event reviews through analysis of the recommendation text provided by a healthcare organization in response to an event report. Human factors and clinical safety science experts developed a taxonomy to describe the content of the recommendation text, reviewed 8,546 event report recommendations, and assigned one or more taxonomy category labels to each recommendation. The taxonomy categories aligned with a system-based approach, aligned with a person-based approach, did not provide an indicator of the approach, or indicated the review/analysis was pending. A total of 9,848 category labels were assigned to the 8,546 event report recommendations. The most frequently used category labels did not provide an indicator of the approach to event review (4,145 of 9,848 category labels, 42.1%), followed by a person-based approach (2,327, 23.6%), review/analysis pending (1,862 ,18.9%), and a system-based approach (1,514, 15.4%). Analyzing the data at the level of each recommendation, 23.2% (1,979 of 8,546) had at least one person-based and no system-based category, 13.3% (1,133) had at least one system-based and no person-based category, and 3% (254) had at least one person-based and one system-based category. There was variability in the event review approach based on the general event type assigned to the safety event (e.g., medication, transfusion, etc.) as well as harm severity. Results suggest improvements in applying system-based approaches are needed, especially for certain general event type categories. Recommendations for improving safety event reviews are provided.