Publications by authors named "Smith F Heavner"

A growing body of critical care research draws on real-world data from electronic health records (EHRs). The bedside clinician has myriad data sources to aid in clinical decision-making, but the lack of data sharing and harmonization standards leaves much of this data out of reach for multi-institution critical care research. The Society of Critical Care Medicine (SCCM) Discovery Data Science Campaign convened a panel of critical care and data science experts to explore and document unique advantages and opportunities for leveraging EHR data in critical care research.

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Article Synopsis
  • Manual data extraction from electronic health records is resource-intensive, and automating this process can alleviate burdens and enhance research capabilities.
  • The study assesses the effectiveness of automated data extraction in a large cohort of adult COVID-19 patients, comparing it with traditional manual methods.
  • Results show that automated extraction achieves nearly perfect agreement for most categorical variables and very high correlations for continuous variables, indicating its reliability and feasibility.
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During the COVID-19 pandemic, healthcare workers (HCW) were categorized as "essential" and "non-essential", creating a division where some were "locked-in" a system with little ability to prepare for or control the oncoming crisis. Others were "locked-out" regardless of whether their skills might be useful. The purpose of this study was to systematically gather data over the course of the COVID-19 pandemic from HCW through an interprofessional lens to examine experiences of locked-out HCW.

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Article Synopsis
  • COVID-19 underscored the importance of real-world data (RWD) for clinical and policy decision-making in critical care, emphasizing the need for effective data analysis.
  • Extracting quality RWD from electronic health records (EHRs) requires significant infrastructure and resources, which prompted the development of customizable public tools for data harmonization.
  • The CURE ID platform facilitates access to challenging clinical case reports and repurposed treatments, enhancing collaboration between the National Institutes of Health and the Food and Drug Administration for improved critical care outcomes.
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Objectives: We sought to identify the most common diagnostic categories linked to dispensed opioid prescriptions among children 1-36 months old and changes in patterns over the years 2000 to 2017.

Methods: This study used South Carolina's Medicaid claims data of pediatric dispensed outpatient opioid prescriptions between 2000 and 2017. The major opioid-related diagnostic category (indication) for each prescription was identified using visit primary diagnoses and the Clinical Classification System (AHRQ-CCS) software.

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Background: Sexual and gender minorities (SGM) in the Southern United States face challenges in accessing sexual and gender affirming health care. Alternative care models, like inclusive mobile clinics, help mitigate barriers to care for SGM. There is limited data in the literature on the experience of medical referral processes for SGM individuals accessing services from mobile health clinics.

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Context: The COVID-19 pandemic has highlighted variability in intensity of care. We aimed to characterize intensity of care among hospitalized patients with COVID-19.

Objectives: Examine the prevalence and predictors of admission code status, palliative care consultation, comfort-measures-only orders, and cardiopulmonary resuscitation (CPR) among patients hospitalized with COVID-19.

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Background: The coronavirus disease 2019 (COVID-19) course may be affected by environmental factors. Ecological studies previously suggested a link between climatological factors and COVID-19 fatality rates. However, individual-level impact of these factors has not been thoroughly evaluated yet.

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Objective: To examine dispensed opioid prescription patterns for limb fractures across racial/ethnic groups in a pediatric population.

Methods: We used South Carolina's Medicaid claims data 2000 to 2018 for pediatric limb fracture cases (under age 19) discharged from the emergency department. The key independent variable was the child's race/ethnicity.

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We implemented the HIV preexposure prophylaxis (PrEP) care continuum among individuals receiving medication for opioid use disorder (MOUD). We screened HIV-negative MOUD participants for PrEP eligibility by assessing injection drug use risk factors and sexual behaviors. Implementation of the PrEP care continuum was challenging; less than a third of MOUD participants were aware of PrEP, and very few initiated PrEP.

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Importance: Obesity, diabetes, and hypertension are common comorbidities in patients with severe COVID-19, yet little is known about the risk of acute respiratory distress syndrome (ARDS) or death in patients with COVID-19 and metabolic syndrome.

Objective: To determine whether metabolic syndrome is associated with an increased risk of ARDS and death from COVID-19.

Design, Setting, And Participants: This multicenter cohort study used data from the Society of Critical Care Medicine Discovery Viral Respiratory Illness Universal Study collected from 181 hospitals across 26 countries from February 15, 2020, to February 18, 2021.

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Importance: Even with its proclivity for older age, coronavirus disease 2019 has been shown to affect all age groups. However, there remains a lack of research focused primarily on the young adult population.

Objectives: To describe the epidemiology and outcomes of coronavirus disease 2019 and identify the risk factors associated with critical illness and mortality in hospitalized young adults.

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