Publications by authors named "Meeker D"

Background: Postoperative radiographs may be performed on different timelines after shoulder arthroplasty. Radiographs obtained in the post-operative recovery unit (PACU) are often of poorer quality. The purpose of the current study was to explore and compare the quality of PACU radiographs and radiographs performed in the radiology suite on post-operative Day 1 (POD1), as well as determine their impact on changes in post-operative management.

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Background: A 60-year-old female underwent proximal tibial autograft harvest for a Cotton osteotomy. Her postoperative course was complicated by psychogenic non-epileptic seizure (PNES) episodes leading to unintentional weightbearing. Knee radiographs at 6 weeks post-procedure demonstrated a displaced proximal tibia fracture through the autograft harvest site.

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Variation in availability, format, and standardization of patient attributes across health care organizations impacts patient-matching performance. We report on the changing nature of patient-matching features available from 2010-2020 across diverse care settings. We asked 38 health care provider organizations about their current patient attribute data-collection practices.

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Background: Misuse of prescription opioids is a well-established contributor to the US opioid epidemic. The primary objective of this study was to identify which level of care delivery (ie patient, prescriber, or hospital) produced the most unwarranted variation in opioid prescribing after common surgical procedures.

Study Design: Electronic health record data from a large multihospital healthcare system were used in conjunction with random-effect models to examine variation in opioid prescribing practices after similar inpatient and outpatient surgical procedures between October 2019 and September 2021.

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  • * Discussions emphasized the need for better understanding of obesity mechanisms and the importance of recognizing monogenic forms of obesity to aid broader patient care.
  • * Experts led presentations on latest research, genetics, and targeted treatments, aiming to set future research priorities and enhance diagnostic practices with new genetic testing tools for developing effective treatment strategies.
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Background: Incidental findings are commonly noted in advanced imaging studies. Few data exist regarding the rate of incidental findings on computed tomography (CT) for preoperative shoulder arthroplasty planning. This study aims to identify the incidence of these findings and the rate at which they warrant further work-up to help guide orthopedic surgeons in counseling patients.

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  • Excessive opioid prescribing after surgery can lead to ongoing use and potential misuse, and social norm-based email feedback may help decrease these prescriptions.
  • A study tested two email interventions aimed at surgeons to see if they could reduce the number of opioids prescribed beyond recommended guidelines after surgeries.
  • Results showed that surgeons receiving peer comparison feedback prescribed above guidelines only 27.5% of the time, significantly lower than the 36.8% in the control group, indicating the effectiveness of these targeted interventions.
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Introduction: Integrating social and environmental determinants of health (SEDoH) into enterprise-wide clinical workflows and decision-making is one of the most important and challenging aspects of improving health equity. We engaged domain experts to develop a SEDoH informatics maturity model (SIMM) to help guide organizations to address technical, operational, and policy gaps.

Methods: We established a core expert group consisting of developers, informaticists, and subject matter experts to identify different SIMM domains and define maturity levels.

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To examine whether the addition of telehealth data to existing surveillance infrastructure can improve forecasts of cases and mortality. In this observational study, we compared accuracy of 14-day forecasts using real-time data available to the National Syndromic Surveillance Program (standard forecasts) to forecasts that also included telehealth information (telehealth forecasts). The study was performed in a national telehealth service provider in 2020 serving 50 US states and the District of Columbia.

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We examined 3,046,538 acute respiratory infection (ARI) encounters with 6,103 national telehealth physicians from January 2019 to October 2021. The antibiotic prescribing rates were 44% for all ARIs; 46% were antibiotic appropriate; 65% were potentially appropriate; 19% resulted from inappropriate diagnoses; and 10% were related to coronavirus disease 2019 (COVID-19) diagnosis.

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Background: Effective strategies are needed to curtail overuse that may lead to harm.

Objective: To evaluate the effects of clinician decision support redirecting attention to harms and engaging social and reputational concerns on overuse in older primary care patients.

Design: 18-month, single-blind, pragmatic, cluster randomized trial, constrained randomization.

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Objective: Patient-reported outcome measures (PROMs) are critical to drive patient-centered care and to understanding patients' perspectives on their health status, quality of life, and the overall effectiveness of the care they receive. PROMs are increasingly being used in clinical and research settings, but the mechanisms to aggregate data from different systems can be cumbersome.

Materials And Methods: As part of an FDA Real-World Evidence demonstration project, we enriched routine care clinical data from our Cerner electronic health record (EHR) with PROMs collected using REDCap.

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  • The study aimed to determine if providing clinicians with social norm feedback about their performance negatively impacted job satisfaction compared to those who did not receive such feedback.
  • It involved a cluster randomized trial with 248 clinicians from 47 clinics, focusing on reducing inappropriate antibiotic prescribing through different interventions, including peer comparison feedback delivered via monthly emails.
  • Results showed no significant difference in job satisfaction between the two groups, with clinicians generally reporting satisfaction levels that did not indicate a notable decline attributed to the peer comparison intervention.
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Background And Objective: Social and Environmental Determinants of Health (SEDoH) are of increasing interest to researchers in personal and public health. Collecting SEDoH and associating them with patient medical record can be challenging, especially for environmental variables. We announce here the release of SEnDAE, the Social and Environmental Determinants Address Enhancement toolkit, and open-source resource for ingesting a range of environmental variables and measurements from a variety of sources and associated them with arbitrary addresses.

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  • Common data models standardize electronic health record (EHR) data but struggle to fully integrate the necessary resources for deep phenotyping.
  • The OMOP2OBO algorithm automates the mapping of Observational Medical Outcomes Partnership (OMOP) vocabularies to Open Biological and Biomedical Ontology (OBO) ontologies, significantly reducing the need for manual curation.
  • With OMOP2OBO, mappings for a large number of conditions, drugs, and measurements were created, facilitating the identification of undiagnosed patients in rare diseases and enhancing opportunities for EHR-based deep phenotyping.
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Background: Unnecessary testing and treatment of common conditions in older adults can lead to significant morbidity and mortality. The primary objective of this study was to develop and pilot test a set of clinical decision support (CDS) alerts informed by social psychology to address overuse in three areas related to ambulatory care of older adults.

Methods: We developed three electronic health record (EHR) CDS alerts to address overuse and pilot tested them from January 17, 2019 to July 17, 2019.

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Background: Requiring accountable justifications-visible, clinician-recorded explanations for not following a clinical decision support (CDS) alert-has been used to steer clinicians away from potentially guideline-discordant decisions. Understanding themes from justifications across clinical content areas may reveal how clinicians rationalize decisions and could help inform CDS alerts.

Methods: We conducted a qualitative evaluation of the free-text justifications entered by primary care physicians from three pilot interventions designed to reduce opioid prescribing and, in older adults, high-risk polypharmacy and overtesting.

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Simulation is a mainstay of comparative- and cost-effectiveness research when empirical data are not available. The Synthea platform, originally designed for generating realistically coded longitudinal health records for software testing, implements data generation models specified in publicly contributed modules representing patients' life cycle and disease and treatment progression. We test the hypothesis that Synthea can be used for simulation studies that draw parameters from observational studies and randomized trials.

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Including social determinants of health (SDoH) data in health outcomes research is essential for studying the sources of healthcare disparities and developing strategies to mitigate stressors. In this report, we describe a pragmatic design and approach to explore the encoding needs for transmitting SDoH screening tool responses from a large safety-net hospital into the National Covid Cohort Collaborative (N3C) OMOP dataset. We provide a stepwise account of designing data mapping and ingestion for patient-level SDoH and summarize the results of screening.

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Despite the significant impact of radiation-induced redox reactions on the accessibility and lifetimes of actinide oxidation states, fundamental knowledge of aqueous actinide metal ion radiation chemistry is limited, especially for the late actinides. A quantitative understanding of these intrinsic radiation-induced processes is essential for investigating the fundamental properties of these actinides. We present here a picosecond electron pulse reaction kinetics study into the radiation-induced redox chemistry of trivalent berkelium (Bk(III)) and californium (Cf(III)) ions in acidic aqueous solutions at ambient temperature.

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Background: The CDC estimates that over 40% of Urgent Care visits are for acute respiratory infections (ARI), more than half involving inappropriate antibiotic prescriptions. Previous randomized trials in primary care clinics resulted in reductions in inappropriate antibiotic prescribing, but antibiotic stewardship interventions in telehealth have not been systematically assessed. To better understand how best to decrease inappropriate antibiotic prescribing for ARIs in telehealth, we are conducting a large randomized quality improvement trial testing both patient- and physician-facing feedback and behavioral nudges embedded in the electronic health record.

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Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an example of an Electronic Health Record (EHR) database of patients tested for COVID-19 that could benefit from a SDoH elements framework that captures various screening instruments in EHR data warehouse systems. This paper uses the University of Washington Enterprise Data Warehouse (a data contributor to N3C) to demonstrate how SDoH can be represented and managed to be made available within an OMOP common data model.

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While much is known about governance models for research informatics programs in academic medical centers and similarly situated cancer centers, community and public health systems have been less well-characterized. As part of implementing an enterprise research governance framework, leaders in the Los Angeles County Department of Health Services established a research informatics program, including research data warehousing. The strategy is focused on high-priority, patient-centered research that leverages the investment in health IT and an efficient, sustained contribution from 2 affiliated Clinical Translational Sciences Institutes.

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