Publications by authors named "Sandra Oreper"

Background: Patients hospitalized with COVID-19 can clinically deteriorate after a period of initial stability, making optimal timing of discharge a clinical and operational challenge.

Objective: To determine risks for post-discharge readmission and death among patients hospitalized with COVID-19.

Design: Multicenter retrospective observational cohort study, 2020-2021, with 30-day follow-up.

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Background: Closing the gap between evidence-supported antibiotic use and real-world prescribing among clinicians is vital for curbing excessive antibiotic use, which fosters antimicrobial resistance and exposes patients to antimicrobial side effects. Providing prescribing information via scorecard improves clinician adherence to quality metrics.

Objective: We aimed to delineate actionable, relevant antimicrobial prescribing metrics extractable from the electronic health record in an automated way.

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Objectives: To evaluate the relationship between early IV fluid volume and hospital outcomes, including death in-hospital or discharge to hospice, in septic patients with and without heart failure (HF).

Design: A retrospective cohort study using logistic regression with restricted cubic splines to assess for nonlinear relationships between fluid volume and outcomes, stratified by HF status and adjusted for propensity to receive a given fluid volume in the first 6 hours. An ICU subgroup analysis was performed.

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Objective: Recent clinical guidelines for sepsis management emphasize immediate antibiotic initiation for suspected septic shock. Though hypotension is a high-risk marker of sepsis severity, prior studies have not considered the precise timing of hypotension in relation to antibiotic initiation and how clinical characteristics and outcomes may differ. Our objective was to evaluate antibiotic initiation in relation to hypotension to characterize differences in sepsis presentation and outcomes in patients with suspected septic shock.

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Background: Racial and ethnic minority groups are less likely to have advance directives and living wills, despite the importance of advanced care planning (ACP) in end-of-life care. We aimed to understand the impact of an intervention to improve ACP documentation across race, ethnicity, and language on hospitalized patients at our institution.

Methods: We launched an intervention to improve the rates of ACP documentation for hospitalized patients aged >75 or with advanced illness defined by the International Classification of Diseases 10th Revision codes.

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We created a concise nurse-driven delirium reduction workflow with the aim of reducing delirium rates and length of stay for hospitalized adults. Our nurse-driven workflow included five evidence-based daytime "sunrise" interventions (patient room lights on, blinds up, mobilization/out-of-bed, water within patient's reach and patient awake) and five nighttime "turndown" interventions (patient room lights off, blinds down, television off, noise reduction and pre-set bedtime). Interventions were also chosen because fidelity could be quickly monitored twice daily without patient interruption from outside the room.

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Background: Identifying COVID-19 patients at the highest risk of poor outcomes is critical in emergency department (ED) presentation. Sepsis risk stratification scores can be calculated quickly for COVID-19 patients but have not been evaluated in a large cohort.

Objective: To determine whether well-known risk scores can predict poor outcomes among hospitalized COVID-19 patients.

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Background: Patients experiencing homelessness have higher rates of substance use and related mortality, often driven by opioid overdose. Conversely, opioid use disorder (OUD) is a leading risk factor for homelessness. Our goal was to test the efficacy of an electronic health record (EHR) screen in identifying this vulnerable population during hospitalization and to assess the feasibility of a bundled intervention in improving opioid safety.

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Article Synopsis
  • Many prediction models for mortality primarily consider demographics and medical issues, often leaving out important social factors that could influence outcomes.
  • Researchers aimed to create a Social Frailty Index that includes both traditional factors and additional social characteristics to better assess mortality risks in older adults.
  • The final model, validated against a large cohort, showed it could effectively predict mortality and risk-stratify older adults more accurately than existing tools like the Charlson score and the Lee Index.
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Background: Health systems have developed automated telephone call programs to screen and triage patients' post-hospital discharge issues and concerns. The aims of our study were to determine whether and how older adults engage with automated post-hospital discharge telephone programs and to describe the prevalence of patient-reported post-discharge issues.

Methods: We identified all telephone calls made by an urban academic medical center as part of a post-hospital discharge program between May 1, 2018 and April 30, 2019.

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