A novel approach to patient portal activation data to power equity improvements.

BACKGROUND: There are significant disparities in access and utilization of patient portals by age, language, race, and ethnicity. MATERIALS AND METHODS: We developed ambulatory and inpatient portal activation equity dashboards to understand disparities in initial portal activation, identify targets for improvement, and enable monitoring of interventions over time. We selected key metrics focused on episodes of care and filters to enable high-level overviews and granular data selection to meet the needs of health system leaders and individual clinical units. RESULTS: In addition to highlighting disparities by age, preferred language, race and ethnicity, and insurance payor, the dashboards enabled development and monitoring of interventions to improve portal activation and equity. DISCUSSION AND CONCLUSIONS: Data visualization tools that provide easily accessible, timely, and customizable data can enable a variety of stakeholders to understand and address healthcare disparities, such as patient portal activation. Further institutional efforts are needed to address the persistent inequities highlighted by these dashboards.

Factors associated with remote monitoring adherence for cardiovascular implantable electronic devices.

BACKGROUND: Professional societies strongly recommend remote monitoring (RM) of all cardiac implantable electronic devices, and higher RM adherence is associated with improved patient outcomes. However, adherence with RM is suboptimal. OBJECTIVE: The purpose of this study was to better understand factors associated with RM adherence. METHODS: We linked RM data from the Veterans Affairs National Cardiac Device Surveillance Program to clinical data for patients monitored between October 25, 2018, and October 24, 2020. RM adherence was defined as the percentage of days covered by an RM transmission during the study period. Patients were classified into 3 categories: complete (100% of days covered by an RM transmission), intermediate (above median in patients with <100% adherence), and low (below median in patients with <100% adherence) adherence. We used multivariable logistic regression to examine patient, device, and facility characteristics associated with adherence. RESULTS: In 52,574 patients, average RM adherence was 71.9%. Only 30.9% (16,224) of patients had complete RM adherence. Black or African American patients had a lower odds of complete RM adherence than white patients (odds ratio 0.88; 95% confidence interval 0.82-0.94), and Hispanic or Latino patients had a lower odds of complete RM adherence (odds ratio 0.79; 95% confidence interval 0.70-0.89) than non-Hispanic or Latino patients. Dementia, depression, and posttraumatic stress disorder were associated with a lower odds of RM adherence. CONCLUSION: There are significant disparities in RM adherence by race, ethnicity, and neuropsychiatric comorbidities. These findings can inform strategies to improve health equity and ensure that all patients with cardiac implantable electronic devices receive the evidence-based clinical benefits of RM.

Implantable cardioverter-defibrillator placement among patients with left ventricular ejection fraction ≤35 % at least 40 days after acute myocardial infarction.

Background: Implantable cardioverter-defibrillators (ICDs) reduce the risk of sudden cardiac death among patients with persistently reduced (≤35 %) left ventricular ejection fraction (LVEF) at least 40 days following acute myocardial infarction (AMI). Few prior studies have used LVEF measured after the 40-day waiting period to examine primary prevention ICD placement. Methods: We sought to determine factors associated with ICD placement among patients who met LVEF criteria post-MI within a large integrated health care system in the U.S by conducting a retrospective cohort study of Veteran patients hospitalized for AMI from 2004 to 2017 who had documented LVEF ≤35 % from echocardiograms performed between 40 and 455 (90 days +1 year) days post-MI. We used multivariable logistic regression to examine factors associated with ICD placement. Results: Of 12,893 patients with LVEF ≤35 % at least 40 days post-MI, 2176 (16.9 %) received an ICD between 91- and 455-days post-MI. Younger age, fewer comorbidities, revascularization with PCI, and greater use of GDMT were associated with increased odds of receiving an ICD. However, half of patients treated with a beta-blocker, ACE inhibitor or angiotensin receptor blocker, and mineralocorticoid receptor antagonist prior to LVEF assessment did not receive an ICD. Eligible Black patients were less likely (odds ratio 0.80, 95 % confidence interval 0.69-0.92) to receive an ICD than White patients. Conclusion: Many factors affect ICD placement among Veteran patients with a confirmed LVEF ≤35 % at least 40 days post-MI. Greater understanding of factors influencing ICD placement would help clinicians ensure guideline-concordant care.

The emerging role of clinical informatics fellows in service learning during the COVID-19 pandemic.

OBJECTIVE: The study sought to describe the contributions of clinical informatics (CI) fellows to their institutions' coronavirus disease 2019 (COVID-19) response. MATERIALS AND METHODS: We designed a survey to capture key domains of health informatics and perceptions regarding fellows' application of their CI skills. We also conducted detailed interviews with select fellows and described their specific projects in a brief case series. RESULTS: Forty-one of the 99 CI fellows responded to our survey. Seventy-five percent agreed that they were "able to apply clinical informatics training and interest to the COVID-19 response." The most common project types were telemedicine (63%), reporting and analytics (49%), and electronic health record builds and governance (32%). Telehealth projects included training providers on existing telehealth tools, building entirely new virtual clinics for video triage of COVID-19 patients, and pioneering workflows and implementation of brand-new emergency department and inpatient video visit types. Analytics projects included reports and dashboards for institutional leadership, as well as developing digital contact tracing tools. For electronic health record builds, fellows directly contributed to note templates with embedded screening and testing guidance, adding COVID-19 tests to order sets, and validating clinical triage workflows. DISCUSSION: Fellows were engaged in projects that span the breadth of the CI specialty and were able to make system-wide contributions in line with their educational milestones. CONCLUSIONS: CI fellows contributed meaningfully and rapidly to their institutions' response to the COVID-19 pandemic.