23 results match your criteria: "Center for Health System Sciences[Affiliation]"

Background: Hypertension management is a national priority. However, hypertension control rates are suboptimal and vary across clinics, even among those in the same health system and geographic region.

Objective: To identify organizational barriers and facilitators that impact hypertension management at the provider, clinic, and health system level.

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Article Synopsis
  • The study focuses on creating and validating two predictive models for patients with uncontrolled hypertension, aiming to forecast sustained uncontrolled hypertension and hypertensive crises.
  • Data from over 142,000 patients were analyzed using various machine learning frameworks, including logistic regression and gradient boosting, with a focus on factors recorded in the year leading up to their index visit.
  • Results indicated that both models demonstrated good predictive performance, with a C-statistic of 0.72 for sustained hypertension and 0.81 for hypertensive crises, outperforming standard treatment protocols across different decision-making scenarios.
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Background: Early-supported discharge (ESD) hospital-at-home (HaH) programs facilitate hospitalized patients to receive ongoing acute-level care at home, thereby promoting patient-centeredness while improving hospital throughput.

Objectives: The current study aimed to test multiple implementation strategies to increase and sustain HaH ESD utilization.

Methods: We conducted interrupted time series analyses to evaluate the effectiveness of implementation strategies on weekly HaH ESD referrals and capacity utilization at five hospitals.

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Article Synopsis
  • The study focuses on evaluating and monitoring sepsis overtreatment in emergency departments, aiming to establish criteria for detecting when antibiotics are given unnecessarily.
  • Out of over 113,000 patients, 22.5% were identified as being overtreatments for sepsis, and those patients experienced longer hospital stays, higher mortality rates, and increased risk of Clostridium difficile infections.
  • The researchers developed a reliable metric utilizing electronic health record data that can help improve the quality of sepsis treatment by addressing overtreatment issues.
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Objective: We aimed to investigate sociodemographic factors associated with self-reported COVID-19 infection.

Methods: The study population was a prospective multicenter cohort of adult volunteers recruited from healthcare systems located in the mid-Atlantic and southern United States. Between April 2020 and October 2021, participants completed daily online questionnaires about symptoms, exposures, and risk behaviors related to COVID-19, including self-reports of positive SARS CoV-2 detection tests and COVID-19 vaccination.

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Social Disparities and Critical Illness during the Coronavirus Disease 2019 Pandemic: A Narrative Review.

Crit Care Clin

October 2024

Department of Internal Medicine, Wake Forest University School of Medicine, 2 Watlington Hall, 1 Medical Center Boulevard, Winston-Salem, NC 27157, USA.

The coronavirus disease 2019 (COVID-19) pandemic raised new considerations for social disparities in critical illness including hospital capacity and access to personal protective equipment, access to evolving therapies, vaccinations, virtual care, and restrictions on family visitation. This narrative review aims to explore evidence about racial/ethnic and socioeconomic differences in critical illness during the COVID-19 pandemic, factors driving those differences and promising solutions for mitigating inequities in the future. We apply a patient journey framework to identify social disparities at various stages before, during, and after patient interactions with critical care services and discuss recommendations for policy and practice.

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Pre-implementation planning for a sepsis intervention in a large learning health system: a qualitative study.

BMC Health Serv Res

August 2024

Department of Internal Medicine, Taubman Center, University of Michigan, 1500 East Medical Center Drive, 3110SPC 5368, Ann Arbor, MI, 48109-5368, USA.

Background: Sepsis survivors experience high morbidity and mortality. Though recommended best practices have been established to address the transition and early post hospital needs and promote recovery for sepsis survivors, few patients receive recommended post-sepsis care. Our team developed the Sepsis Transition and Recovery (STAR) program, a multicomponent transition intervention that leverages virtually-connected nurses to coordinate the application of evidence-based recommendations for post-sepsis care with additional clinical support from hospitalist and primary care physicians.

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Objective: Hospital at Home (HaH) programs currently lack decision support tools to help efficiently navigate the complex decision-making process surrounding HaH as a care option. We assessed user needs and perspectives to guide early prototyping and co-creation of 4PACS (Partnering Patients and Providers for Personalized Acute Care Selection), a decision support app to help patients make an informed decision when presented with discrete hospitalization options.

Methods: From December 2021 to January 2022, we conducted semi-structured interviews via telephone with patients and caregivers recruited from Atrium Health's HaH program and physicians and a nurse with experience referring patients to HaH.

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A Mixed-Methods Study to Understand Community Health Worker Integration With Health Care Teams.

J Ambul Care Manage

November 2024

Author Affiliations: Department of Internal Medicine (Drs McCutcheon and Cheng, Ms Quinones, and Drs Denizard-Thompson, Wise Thomas, and Palakshappa), Department of Social Sciences Health Policy (Ms Wiseman), Department of Pediatrics (Dr Palakshappa), Department of Epidemiology and Prevention, Division of Public Health Sciences (Dr Palakshappa), Wake Forest University School of Medicine, Winston-Salem, North Carolina; and Center for Health System Sciences, Atrium Health, Charlotte, North Carolina (Drs McCutcheon, Cheng, Mahabaleshwarkar, and Taylor).

Two models employed to integrate community health workers (CHWs) in health care settings are community-clinical linkages and employment within health care. Our objective was to understand the variability in how these models are implemented. We conducted a mixed-methods study across a large health system that included CHW focus groups and electronic health record data on patients referred to the teams.

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Background: Hospital at Home (HaH) programs are used throughout the United States and are beneficial in both providing patients care in environments most comfortable to them and freeing up inpatient beds. Better informing patients about HaH programs, while promoting shared decision-making (SDM), should be prioritized by health systems. SDM apps may promote increased patient agency and understanding of complex HaH care decisions.

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Background: The number of Hospital-at-Home (HaH) programs rapidly increased during the COVID-19 pandemic and after issuance of Centers for Medicare and Medicaid Services' (CMS) Acute Hospital Care at Home (AHCaH) waiver. However, there remains little evidence on effective strategies to equitably expand HaH utilization.

Objective: Evaluate the effects of a multifaceted implementation strategy on HaH utilization over time.

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Background: Obesity is an independent risk factor for the development of hepatocellular carcinoma (HCC) and may influence its outcomes. However, after diagnosis of HCC, like other malignancies, the obesity paradox may exist where higher body mass index (BMI) may in fact confer a survival benefit. This is frequently observed in patients with advanced HCC and cirrhosis, who often present late with advanced tumor features and cancer related weight loss.

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Soft Skills: The Work of Communication and Persuasion Among Nurse Navigators in Hospital at Home Programs.

J Nurs Adm

April 2024

Author Affiliations: Senior Health Services Researcher (Dr Bundy), Center for Health System Sciences Atrium Health Wake Forest Baptist, Charlotte; Academic Faculty Physician (Dr Sunkara), Wake Forest University School of Medicine; and Physician (Dr Sitammagari), Atrium Health Wake Forest Baptist, Winston-Salem; and Application Specialist (Hetherington), Center for Health System Science, Vice President of Atrium Health Hospital at Home (Hole), and Physician and Director of the Transition Clinic (Dr Murphy), Atrium Health Wake Forest Baptist, Charlotte, North Carolina.

Objective: To assess the role of soft skills in the work of Hospital at Home (HaH) nurse navigators.

Background: In HaH programs that employ them, nurse navigators are often responsible for identifying, assessing, referring, and educating potential HaH patients. The experiences of these navigators have gone understudied.

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Objective: To evaluate real-world implications of updated Surviving Sepsis Campaign (SSC) recommendations for antibiotic timing.

Design: Retrospective cohort study.

Setting: Twelve hospitals in the Southeastern United States between 2017 and 2021.

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Characterizing Program Delivery for an Effective Multicomponent Sepsis Recovery Intervention.

Ann Am Thorac Soc

April 2024

Department of Internal Medicine, Wake Forest University School of Medicine, Center for Health System Sciences, Atrium Health, Charlotte, North Carolina.

A recent randomized controlled trial revealed that a multicomponent sepsis transition and recovery (STAR) program delivered through specialized nurse navigators was effective in reducing a composite of 30-day readmission and mortality. Better understanding of patterns of care provided by the STAR program is needed to promote implementation and dissemination of this effective program. This study characterizes individual care activities and distinct "packages" of care delivered by the STAR program.

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Self-Measured Blood Pressure-Guided Pharmacotherapy: A Systematic Review and Meta-Analysis of United States-Based Telemedicine Trials.

Hypertension

March 2024

Department of Internal Medicine, Atrium Health Wake Forest Baptist, Winston-Salem, NC (A.S., D.P., J.D.W., Y.P.).

Background: The optimal approach to implementing telemedicine hypertension management in the United States is unknown.

Methods: We examined telemedicine hypertension management versus the effect of usual clinic-based care on blood pressure (BP) and patient/clinician-related heterogeneity in a systematic review/meta-analysis. We searched United States-based randomized trials from Medline, Embase, CENTRAL, CINAHL, PsycINFO, Compendex, Web of Science Core Collection, Scopus, and 2 trial registries.

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Blood Pressure Control in a Diverse Population of Hypertensive Patients With Heart Failure.

Am J Cardiol

December 2023

Center for Health System Sciences (CHASSIS), Atrium Health, Charlotte, North Carolina; Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston Salem, North Carolina.

Hypertensive patients with heart failure (HF), with reduced or preserved ejection fraction, belong to a vulnerable subset with high mortality risks. In HF patients, the current clinical guideline recommends attaining a systolic blood pressure (BP) <130 mm Hg. However, levels of BP control and their correlates in this subgroup are not well understood.

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Background: Uncontrolled hypertension significantly increases risk of cardiovascular disease and death. This study examined the prevalence of uncontrolled hypertension, persistently uncontrolled hypertension, and hypertensive crisis and factors associated with these outcomes in a real-world patient cohort.

Methods: Electronic medical records from a large healthcare system in North Carolina were used to identify adults with uncontrolled hypertension (last ambulatory blood pressure [BP] measurement ≥140/90); persistently uncontrolled hypertension (≥2 ambulatory BP measurements with all readings ≥140/90); and hypertensive crisis (any BP reading ≥180/120) in 2019.

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Developing and validating a predictive model for future emergency hospital admissions.

Health Informatics J

May 2022

Centre for Health Care Innovation and Improvement (CHI), School of Management, 1555University of Bath, Bath, UK.

Although many emergency hospital admissions may be unavoidable, a proportion of these admissions represent a failure of the care system. The adverse consequences of avoidable emergency hospital admissions affect patients, carers, care systems and substantially increase care costs. The aim of this study was to develop and validate a risk prediction model to estimate the individual probability of emergency admission in the next 12 months within a regional population.

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