Publications by authors named "Curt Lindberg"

Introduction: At the time of the 2021 Behavioral Risk Factor Surveillance System survey, an estimated 32.3% of adults in the US and nearly half (43.4%, 776 000) of adults in West Virginia (WV) had hypertension.

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Introduction: Quality improvement and implementation science practitioners identify relational issues as important obstacles to success. Relational interventions may be important for successful performance improvement and fostering Learning Health Systems.

Methods: This case report describes the experience and lessons learned from implementing a relational approach to organizational change, informed by Relational Coordination Theory, in a health system.

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Antimicrobial resistance is a major growing problem fueled by inappropriate use of antimicrobials. Patients requiring maintenance hemodialysis are at especially high risk for infections caused by antimicrobial-resistant bacteria. The Centers for Disease Control and Prevention has recommended development and implementation of antimicrobial stewardship programs to combat the spread of resistant pathogens.

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Background: The purpose of this article is to describe neonatal intensive care unit clinician perceptions of a continuous predictive analytics technology and how those perceptions influenced clinician adoption. Adopting and integrating new technology into care is notoriously slow and difficult; realizing expected gains remain a challenge.

Methods: Semistructured interviews from a cross-section of neonatal physicians ( = 14) and nurses ( = 8) from a single U.

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Background: Antimicrobial stewardship programs are effective in optimizing antimicrobial prescribing patterns and decreasing the negative outcomes of antimicrobial exposure, including the emergence of multidrug-resistant organisms. In dialysis facilities, 30%-35% of antimicrobials are either not indicated or the type of antimicrobial is not optimal. Although antimicrobial stewardship programs are now implemented nationwide in hospital settings, programs specific to the maintenance dialysis facilities have not been developed.

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To develop a workflow-supported clinical documentation system, it is a critical first step to understand clinical workflow. While Time and Motion studies has been regarded as the gold standard of workflow analysis, this method can be resource consuming and its data may be biased due to the cognitive limitation of human observers. In this study, we aimed to evaluate the feasibility and validity of using EHR audit trail logs to analyze clinical workflow.

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In the intensive care unit, clinicians monitor a diverse array of data inputs to detect early signs of impending clinical demise or improvement. Continuous predictive analytics monitoring synthesizes data from a variety of inputs into a risk estimate that clinicians can observe in a streaming environment. For this to be useful, clinicians must engage with the data in a way that makes sense for their clinical workflow in the context of a learning health system (LHS).

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Introduction: The current Learning Health Systems literature affords insufficient attention to the process of learning. In response, Billings Clinic focused on how to advance its learning capabilities and subsequently to contribute new insights into the process of learning to the LHS literature.

Methods: An environmental scan was conducted, including the grey literature (eg, technical reports and white papers) and peer-reviewed research publications.

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Background: Bloodstream infections (BSIs) cause substantial morbidity in hemodialysis patients. In 2009, the US Centers for Disease Control and Prevention (CDC) sponsored a collaborative project to prevent BSIs in outpatient hemodialysis facilities. We sought to assess the impact of a set of interventions on BSI and access-related BSI rates in participating facilities using data reported to the CDC's National Healthcare Safety Network (NHSN).

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Background: The incidence of access-related bloodstream infections (AR-BSIs) in US outpatient hemodialysis centers is unacceptably high. This paper presents the implementation and results achieved from a multi-pronged strategy to reduce AR-BSIs in 1 outpatient hemodialysis center.

Methods: The intervention, which took place between 2009 and 2011, involved membership in the Centers for Disease Control and Prevention Hemodialysis Bloodstream Infection Prevention Collaborative, implementation of a panel of infection prevention interventions, and use of positive deviance (PD) to engage staff.

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Health care systems struggle to scale-up and spread effective practices across diverse settings. Failures in scale-up and spread (SUS) are often attributed to a lack of consideration for variation in local contexts among different health care delivery settings. We argue that SUS occurs within complex systems and that self-organization plays an important role in the success, or failure, of SUS.

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As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory.

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