Publications by authors named "Maura Beaton"

Article Synopsis
  • The study explores using patient portal messaging to recruit underrepresented individuals for the All of Us Research Program, aiming to improve diversity in biomedical research.
  • A large-scale outreach was conducted at Columbia University, where over 59,000 patients were messaged, resulting in a 15.1% response rate and showing varying engagement levels among different racial and ethnic groups.
  • While the method increased outreach efficiency, the researchers found that underrepresented groups struggled more with initial consent and message engagement, highlighting the need for targeted strategies to enhance participation.
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Background: Although psychiatric disorders have been associated with reduced immune responses to other vaccines, it remains unknown whether they influence COVID-19 vaccine effectiveness (VE). This study evaluated risk of COVID-19 hospitalization and estimated mRNA VE stratified by psychiatric disorder status.

Methods: In a retrospective cohort analysis of the VISION Network in four US states, the rate of laboratory-confirmed COVID-19-associated hospitalization between December 2021 and August 2022 was compared across psychiatric diagnoses and by monovalent mRNA COVID-19 vaccination status using Cox proportional hazards regression.

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Background: The epidemiology of coronavirus disease 2019 (COVID-19) continues to develop with emerging variants, expanding population-level immunity, and advances in clinical care. We describe changes in the clinical epidemiology of COVID-19 hospitalizations and risk factors for critical outcomes over time.

Methods: We included adults aged ≥18 years from 10 states hospitalized with COVID-19 June 2021-March 2023.

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Linking Area Deprivation Index (ADI) scores to observational data offers the opportunity to characterize healthcare treatment and outcomes that are driven by socioeconomic deprivation. The current study aims to assess the feasibility of creating an analysis package to link ADI rankings to multiple patient-level EHR datasets transformed into the OMOP CDM. Patients within two cancer cohorts (breast cancer and multiple myeloma) were identified within two OMOP datasets and their records were linked with ADI scores using address information in the OMOP location table.

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Background: Coronavirus disease 2019 (COVID-19) vaccination coverage remains lower in communities with higher social vulnerability. Factors such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure risk and access to healthcare are often correlated with social vulnerability and may therefore contribute to a relationship between vulnerability and observed vaccine effectiveness (VE). Understanding whether these factors impact VE could contribute to our understanding of real-world VE.

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The All of Us (AoU) Research Program aggregates electronic health records (EHR) data from 300,00+ participants spanning 50+ distinct data sites. The diversity and size of AoU's data network result in multifaceted obstacles to data integration that may undermine the usability of patient EHR. Consequently, the AoU team implemented data quality tools to regularly evaluate and communicate EHR data quality issues at scale.

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Many patients with bipolar disorder (BD) are initially misdiagnosed with major depressive disorder (MDD) and are treated with antidepressants, whose potential iatrogenic effects are widely discussed. It is unknown whether MDD is a comorbidity of BD or its earlier stage, and no consensus exists on individual conversion predictors, delaying BD's timely recognition and treatment. We aimed to build a predictive model of MDD to BD conversion and to validate it across a multi-national network of patient databases using the standardization afforded by the Observational Medical Outcomes Partnership (OMOP) common data model.

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