The Population Health OutcomEs aNd Information EXchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease

Impact of Venous CONgestion on Organ Function and Outcomes in Sepsis (ICON-Sepsis): a prospective observational cohort study protocol

INTRODUCTION

Sepsis is a common condition with significant morbidity, mortality and annual costs of care in the billions of dollars. Despite innumerable studies on the causes of, and therapies for, sepsis, the mortality rate has not changed substantially in the last 20 years. Treatments remain generic, with current guidelines recommending the same approach for all patients, regardless of the litany of differences that exist at baseline. Moreover, the blanket administration of 30 cc/kg of intravenous fluid (IVF) to all patients is recognised as being directly harmful to some. Patient-level heterogeneity in prior sepsis trials is recognised as a substantial contributor to all these problems, yet no prior investigation has attempted to identify volume-informed septic phenotypes, a necessary first step towards precision care.

METHODS AND ANALYSIS

Predicated on prior studies demonstrating detectability of organ-level congestion, we hypothesise that central venous hypertension (1) is deleterious to the function of the lungs, liver, kidneys and vascular endothelium; (2) is worsened by cardiac dysfunction and IVF administration; and (3) contributes to adverse organ-specific and overall outcomes. Beginning in the emergency department, cardiac function will be assessed with echocardiography while congestion in the lungs and kidneys will be assessed using previously validated sonographic markers of congestion. Biomarkers for each organ will be collected concurrently, thereby increasing the fidelity of our phenotypic profiles by pairing indicators of macroscopic and microscopic stress and dysfunction. Data will also be collected at 24 hours and 7 days (or discharge, whichever comes first) after presentation. Classical and machine learning approaches will be used to analyse our large data stream and develop a rule-based system to identify distinct subpopulations of patients with sepsis who have greater risk/likelihood of both organ-specific and overall adverse outcomes.

ETHICS AND DISSEMINATION

This project has been approved by the Wayne State University Institutional Review Board, with patient enrolment beginning in April 2024. Findings will be reported and disseminated via conference presentations and open-access publications.

Health Information Exchange Implications for School Nursing: An Integrative Review

School nurses coordinate care for school-age children with various chronic diseases but rarely are included in access to electronic health records or health information exchanges. This integrative review aimed to obtain evidence-based information on health information exchange (HIE) and health information exchange organizations (HIOs) in the United States and the implications for school nurses. The review found no instances in the published literature of school nurses' access to an HIE through a regional or non-vendor-based HIO. Information from the review was mapped to the four National Association of School Nursing School Nurse Practice FrameworkTM principles to provide knowledge on the importance of incorporating HIE in school-based healthcare. These results highlight a gap in identifying the school nurse as an essential use case for regional or national HIOs in care coordination for school-age children. School nurses can learn about HIE, advocate for their access to HIOs, and acknowledge their importance in the care coordination team.

Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions

Background

Social determinants of health (SDoH), such as socioeconomics and neighborhoods, strongly influence health outcomes. However, the current state of standardized SDoH data in electronic health records (EHRs) is lacking, a significant barrier to research and care quality.

Methods

We conducted a PubMed search using "SDOH" and "EHR" Medical Subject Headings terms, analyzing included articles across five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions.

Results

Of 685 articles identified, 324 underwent full review. Key findings include implementation of tailored screening instruments, census and claims data linkage for contextual SDoH profiles, NLP systems extracting SDoH from notes, associations between SDoH and healthcare utilization and chronic disease control, and integrated care management programs. However, variability across data sources, tools, and outcomes underscores the need for standardization.

Discussion

Despite progress in identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical for SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately, widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

Achieving Equitable Cardiovascular Care for All: ACC Board of Trustees Health Equity Task Force Action Plan

Advancements in cardiovascular (CV) disease management are notable, yet health inequities prevail, associated with increased morbidity and mortality noted among non-Hispanic African Americans in the United States. The 2002 Institute of Medicine Report revealed ongoing racial and ethnic health care disparities, spearheading a deeper understanding of the social determinants of health and systemic racism to develop strategies for CV health equity (HE). This article outlines the strategic HE approach of the American College of Cardiology, comprising 6 strategic equity domains: workforce pathway inclusivity, health care, data, science, and tools; education and training; membership, partnership, and collaboration; advocacy and policy; and clinical trial diversity. The American College of Cardiology's Health Equity Task Force champions the improvement of patients' lived experiences, population health, and clinician well-being while reducing health care costs-the Quadruple Aim of Health Equity. Thus, we examine multifaceted HE interventions and provide evidence for scalable real-world interventions to promote equitable CV care.

Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness

BACKGROUND

For surveillance of episodic illness, the emergency department (ED) represents one of the largest interfaces for generalizable data about segments of the US public experiencing a need for unscheduled care. This protocol manuscript describes the development and operation of a national network linking symptom, clinical, laboratory and disposition data that provides a public database dedicated to the surveillance of acute respiratory infections (ARIs) in EDs.

METHODS

The Respiratory Virus Laboratory Emergency Department Network Surveillance (RESP-LENS) network includes 26 academic investigators, from 24 sites, with 91 hospitals, and the Centers for Disease Control and Prevention (CDC) to survey viral infections. All data originate from electronic medical records (EMRs) accessed by structured query language (SQL) coding. Each Tuesday, data are imported into the standard data form for ARI visits that occurred the prior week (termed the index file); outcomes at 30 days and ED volume are also recorded. Up to 325 data fields can be populated for each case. Data are transferred from sites into an encrypted Google Cloud Platform, then programmatically checked for compliance, parsed, and aggregated into a central database housed on a second cloud platform prior to transfer to CDC.

RESULTS

As of August, 2023, the network has reported data on over 870,000 ARI cases selected from approximately 5.2 million ED encounters. Post-contracting challenges to network execution have included local shifts in testing policies and platforms, delays in ICD-10 coding to detect ARI cases, and site-level personnel turnover. The network is addressing these challenges and is poised to begin streaming weekly data for dissemination.

CONCLUSIONS

The RESP-LENS network provides a weekly updated database that is a public health resource to survey the epidemiology, viral causes, and outcomes of ED patients with acute respiratory infections.

Impact of Neighborhood on Cardiovascular Health: A Contemporary Narrative Review

PURPOSE OF REVIEW

This review summarizes approaches towards neighborhood characterization in relation to cardiovascular health; contemporary investigations relating neighborhood factors to cardiovascular risk and disease; and initiatives to support community-based interventions to address neighborhood-based social determinants related to cardiovascular health.

RECENT FINDINGS

Neighborhoods may be characterized by Census-derived measures, geospatial data, historical databases, and metrics that incorporate data from electronic medical records and health information exchange databases. Current research has examined neighborhood determinants spanning racial segregation, access to healthcare and food, educational opportunities, physical and built environment, and social environment, and their relations to cardiovascular health and associated outcomes. Community-based interventions have potential to alleviate health disparities but remain limited by implementation challenges. Consideration of neighborhood context is essential in the design of interventions to prevent cardiovascular disease (CVD) and promote health equity. Partnership with community stakeholders may enhance implementation of programs addressing neighborhood-based health determinants.

From pandemic response to portable population health: A formative evaluation of the Detroit mobile health unit program

This article describes our experience developing a novel mobile health unit (MHU) program in the Detroit, Michigan, metropolitan area. Our main objectives were to improve healthcare accessibility, quality and equity in our community during the novel coronavirus pandemic. While initially focused on SARS-CoV-2 testing, our program quickly evolved to include preventive health services. The MHU program began as a location-based SARS-CoV-2 testing strategy coordinated with local and state public health agencies. Community needs motivated further program expansion to include additional preventive healthcare and social services. MHU deployment was targeted to disease "hotspots" based on publicly available SARS-CoV-2 testing data and community-level information about social vulnerability. This formative evaluation explores whether our MHU deployment strategy enabled us to reach patients from communities with heightened social vulnerability as intended. From 3/20/20-3/24/21, the Detroit MHU program reached a total of 32,523 people. The proportion of patients who resided in communities with top quartile Centers for Disease Control and Prevention Social Vulnerability Index rankings increased from 25% during location-based "drive-through" SARS-CoV-2 testing (3/20/20-4/13/20) to 27% after pivoting to a mobile platform (4/13/20-to-8/31/20; p = 0.01). The adoption of a data-driven deployment strategy resulted in further improvement; 41% of the patients who sought MHU services from 9/1/20-to-3/24/21 lived in vulnerable communities (Cochrane Armitage test for trend, p<0.001). Since 10/1/21, 1,837 people received social service referrals and, as of 3/15/21, 4,603 were administered at least one dose of COVID-19 vaccine. Our MHU program demonstrates the capacity to provide needed healthcare and social services to difficult-to-reach populations from areas with heightened social vulnerability. This model can be expanded to meet emerging pandemic needs, but it is also uniquely capable of improving health equity by addressing longstanding gaps in primary care and social services in vulnerable communities.

Childhood adversity, suicidality, and non-suicidal self-injury among children and adolescents admitted to emergency departments

PURPOSE

This population-based study explored the associations between childhood adversity and admission to emergency departments (EDs) with non-suicidal self-injury (NSSI) and with a suicide attempt.

METHODS

A nationally representative cross-sectional sample of 5-17-year-olds admitted to EDs (N = 143,113,677) from 2006 to 2015 was utilized to assess the associations between childhood adversities, NSSIs, and suicide attempts.

RESULTS

ED admissions with NSSI and admissions with a suicide attempt were associated with greater odds of exposure to individual childhood adversities (aORs: 1.34 to 5.86; aORs: 2.37 to 15.69, respectively). ED admissions with a suicide attempt were associated with greater odds of exposure to childhood adversities that might be perceived as less extreme or harmful (separation or divorce aOR: 15.69) than other adversities (death of a family member aOR: 13.38; history of physical abuse aOR: 9.56) as well as greater odds of exposure to three or more childhood adversities (aOR: 20.98).

CONCLUSION

Early detection of childhood adversities is important for identifying potential risk factors for self-harm. ED admission data can provide population-level surveillance to aid in these efforts and lead to more targeted and effective interventions aimed at reducing the negative effects of toxic stress that can result from exposure to childhood adversities.