Publications by authors named "Sax D"

Telemedicine use increased substantially with the COVID-19 pandemic. Understanding of the impact of telemedicine modality (video vs. phone) on post-telemedicine acute care for higher risk conditions is limited.

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Purpose: To describe the visual acuity (VA) outcomes from a telemedicine-enabled pathway allowing for rapid diagnosis and administration of intravenous (IV) thrombolytic treatment for non-arteritic central retinal artery occlusion (naCRAO) within 4.5 hours (4.5 h) of visual loss.

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Importance: Oral anticoagulation for adults with atrial fibrillation or atrial flutter (AFF) who are at elevated stroke risk reduces the incidence of ischemic stroke but remains underused. Efforts to increase anticoagulation initiation on emergency department (ED) discharge have yielded conflicting results.

Objective: To evaluate the effectiveness of a multipronged intervention supporting anticoagulation initiation for eligible adult ED patients.

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Importance: Most emergency departments (EDs) across the US use the Emergency Severity Index (ESI) to predict acuity and resource needs. A comprehensive assessment of ESI accuracy among pediatric patients is lacking.

Objective: To assess the frequency of mistriage using ESI (version 4) among pediatric ED visits using automated measures of mistriage and identify characteristics associated with mistriage.

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Aims: Emergency department (ED) providers play an important role in the management of patients with acute heart failure (AHF). We present findings from a pilot study of an electronic decision support that includes personalized risk estimates using the STRIDE-HF risk tool and tailored recommendations for initiating guideline directed medical therapy (GDMT) among appropriate patients.

Methods: Among ED patients treated for AHF who were discharged from the ED or the ED-based observation unit in two EDs from 1 January 2023 to 31 July 2023, we assess prescriptions to the four classes of GDMT at two intervals: (1) ED arrival and (2) ED discharge.

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Climate change is conjectured to endanger tropical species, particularly in biodiverse montane regions, but accurate estimates of extinction risk are limited by a lack of empirical data demonstrating tropical species' sensitivity to climate. To fill this gap, studies could match high-quality distribution data with multi-year transplant experiments. Here, we conduct field surveys of epiphyte distributions on three mountains in Central America and perform reciprocal transplant experiments on one mountain across sites that varied in elevation, temperature and aridity.

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Background: Telemedicine use expanded greatly during the COVID-19 pandemic. More data is needed to understand how this shift may impact other venues of acute care delivery.

Objective: We evaluate the association of visit modality (telephone, video, or office) and downstream emergency department (ED) and hospital visits among primary care visits for acute, time-sensitive conditions.

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Background: Patients with heart failure (HF) are a medically complex population with frequent hospitalizations. Downstream health care utilization following primary care delivered by telemedicine compared to in-person is unknown.

Objectives: The purpose of this study was to understand differences in return in-person visits, emergency department (ED) encounters, and hospitalizations following a telemedicine vs an in-person primary care visit for patients with HF seen for a HF-related complaint.

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Background: Noninvasive cardiac testing (NICT) has been associated with decreased long-term risks of major adverse cardiac events (MACEs) among emergency department patients at high coronary risk. It is unclear whether this association extends to patients without evidence of myocardial injury on initial ECG and cardiac troponin testing.

Methods: A retrospective cohort study was conducted of patients presenting with chest pain between 2013 and 2019 to 21 emergency departments within an integrated health care system in Northern California, excluding patients with ST-segment-elevation myocardial infarction or myocardial injury by serum troponin testing.

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Article Synopsis
  • Researchers explored how natural language processing (NLP) could better identify worsening heart failure (WHF) events outside of hospitals compared to traditional diagnostic coding.
  • In their study, 8407 patient encounters were evaluated, and findings indicated that NLP identified a significant number of cases (22%) that met WHF criteria, with dyspnoea being the most frequent diagnosis.
  • The study concludes that relying solely on standard claims-based methods might misclassify WHF events and underestimate their impact in emergency departments and observation stays.
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Article Synopsis
  • The study analyzed sex-based differences in worsening heart failure (WHF) by examining over a million clinical encounters in a healthcare system from 2010 to 2019.
  • Results showed that women were older and more likely to have heart failure with preserved ejection fraction, while both genders had similar clinical settings for WHF events.
  • Importantly, women had lower odds of 30-day mortality after being hospitalized or visiting the emergency department for WHF compared to men.
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The dominant paradigm for assessing ecological responses to climate change assumes that future states of individuals and populations can be predicted by current, species-wide performance variation across spatial climatic gradients. However, if the fates of ecological systems are better predicted by past responses to in situ climatic variation through time, this current analytical paradigm may be severely misleading. Empirically testing whether spatial or temporal climate responses better predict how species respond to climate change has been elusive, largely due to restrictive data requirements.

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Importance: Clinical decision support (CDS) could help emergency department (ED) physicians treat patients with heart failure (HF) by estimating risk, collating relevant history, and assisting with medication prescribing if physicians' perspectives inform its design and implementation.

Objective: To evaluate CDS usability and workflow integration in the hands of ED physician end users who use it in clinical practice.

Design, Setting, And Participants: This mixed-methods qualitative study administered semistructured interviews to ED physicians from 2 community EDs of Kaiser Permanente Northern California in 2023.

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Background: The practice of medicine faces a mounting burnout crisis. Physician burnout leads to worse mental health outcomes, provider turnover, and decreased quality of care. Peer support, a viable strategy to combat burnout, has been shown to be well received by physicians.

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Article Synopsis
  • * A study analyzed 2,111 Kaiser Permanente Northern California members from 2009 to 2018 and found that 19.3% returned to the emergency department (ED) within six months after their first visit, with various factors influencing the likelihood of repeat visits.
  • * Key findings included that older age, higher household income, and a diagnosis of alcohol use disorder were linked to lower repeat ED visits, while mood disorders, history of opiate prescriptions, and corticosteroid use were associated with increased visits; outpatient follow-ups did not significantly impact
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Background There is a need to develop electronic health record-based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Results We studied adults with heart failure (HF) from 2011 to 2019 within an integrated health care delivery system. WHF encounters were ascertained using natural language processing and structured data.

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Objectives: Efficient and accurate emergency department (ED) triage is critical to prioritize the sickest patients and manage department flow. We explored the use of electronic health record data and advanced predictive analytics to improve triage performance.

Methods: Using a data set of over 5 million ED encounters of patients 18 years and older across 21 EDs from 2016 to 2020, we derived triage models using deep learning to predict 2 outcomes: hospitalization (primary outcome) and fast-track eligibility (exploratory outcome), defined as ED discharge with <2 resource types used (eg, laboratory or imaging studies) and no critical events (eg, resuscitative medications use or intensive care unit [ICU] admission).

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Background: Management of adults with atrial fibrillation (AF) or atrial flutter in the emergency department (ED) includes rate reduction, cardioversion, and stroke prevention. Different approaches to these components of care may lead to variation in frequency of hospitalization and stroke prevention actions, with significant implications for patient experience, cost of care, and risk of complications. Standardization using evidence-based recommendations could reduce variation in management, preventable hospitalizations, and stroke risk.

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Importance: Accurate emergency department (ED) triage is essential to prioritize the most critically ill patients and distribute resources appropriately. The most used triage system in the US is the Emergency Severity Index (ESI).

Objectives: To derive and validate an algorithm to assess the rate of mistriage and to identify characteristics associated with mistriage.

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Hospital admissions for patients with acute heart failure (AHF) remain high. There is an opportunity to improve alignment between patient risk and admission decision. We recently developed a machine learning (ML)-based model that stratifies emergency department (ED) patients with AHF based on predicted risk of a 30-day severe adverse event.

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While decision-making can benefit from considering positive and negative outcomes of change, over the past half-century, research on non-native species has focused predominately on their negative impacts. Here we provide a framework for considering the positive consequences of non-native species relative to relational, instrumental, and intrinsic values. We demonstrate that their beneficial outcomes are common and profoundly important for human well-being.

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This systematic literature review identifies and critiques methodological trends in green gentrification research (focusing on studies of vegetative greening) and provides suggestions for advancing this field. Findings reveal (1) research has largely focused on U.S.

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Background: Admission rates for emergency department (ED) patients with acute heart failure (AHF) remain elevated. Use of a risk stratification tool could improve disposition decision making by identifying low-risk patients who may be safe for outpatient management.

Methods: We performed a secondary analysis of a retrospective, multi-center cohort of 26,189 ED patients treated for AHF from January 1, 2017 to December 31, 2018.

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