Clair Blacketer
A5013473353- COVID-19 Clinical Research Studies
- Health Systems, Economic Evaluations, Quality of Life
- Long-Term Effects of COVID-19
- Diabetes Treatment and Management
- Machine Learning in Healthcare
- Biomedical Text Mining and Ontologies
- COVID-19 and healthcare impacts
- Diabetes Management and Research
- COVID-19 diagnosis using AI
- SARS-CoV-2 and COVID-19 Research
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Data-Driven Disease Surveillance
- Health, Environment, Cognitive Aging
- Ethics in Clinical Research
- COVID-19 Impact on Reproduction
- Maternal Mental Health During Pregnancy and Postpartum
- Chronic Disease Management Strategies
- Clinical practice guidelines implementation
- Lung Cancer Treatments and Mutations
- Blood groups and transfusion
- Atrial Fibrillation Management and Outcomes
- Kawasaki Disease and Coronary Complications
- Research Data Management Practices
- Retinal and Optic Conditions
- Respiratory viral infections research
Janssen (United States)
2016-2025
Yale University
2024
University of California, Los Angeles
2024
Erasmus MC
2020-2023
University of Dundee
2023
Uppsala University
2023
Bioef - Fundación Vasca de Innovación e Investigación Sanitarias
2023
University of California, San Francisco
2023
United States Department of Veterans Affairs
2023
Erasmus University Rotterdam
2022
Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical are abundant, these largely inaccessible to outside researchers. Statistical, machine learning, causal analyses most successful with large-scale beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level from many centers.The...
Abstract Objective Advances in standardization of observational healthcare data have enabled methodological breakthroughs, rapid global collaboration, and generation real-world evidence to improve patient outcomes. Standardizations structure, such as use common models, need be coupled with standardized approaches for quality assessment. To ensure confidence generated from the analysis data, one must first itself. Materials Methods We describe implementation check types across a framework...
This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics. The method is based on several diagnostic criteria to evaluate patient cohort returned by PA. Diagnostics include estimates of incidence rate, index date entry code breakdown, and prevalence all observed clinical events prior to, on, after date. We test our one PA systemic lupus erythematosus (SLE) two PAs Alzheimer's disease (AD) across 10 different observational...
To assess the association of probiotics with depression, a large population-based cross-sectional study was conducted. National Health and Nutrition Examination Survey adult participants from 2005 through 2012 were included. Exposure defined as having consumed any probiotic food or supplement on interview days. Subjects classified depressed if Patient Questionnaire scores ≥10. Of 18,019 subjects included, 14.11% probiotics. Unadjusted analysis suggested that who had lower odds depression...
Abstract Objective Patients with autoimmune diseases were advised to shield avoid coronavirus disease 2019 (COVID-19), but information on their prognosis is lacking. We characterized 30-day outcomes and mortality after hospitalization COVID-19 among patients prevalent diseases, compared hospital admissions similar seasonal influenza. Methods A multinational network cohort study was conducted using electronic health records data from Columbia University Irving Medical Center [USA, Optum...
OBJECTIVES To characterize the demographics, comorbidities, symptoms, in-hospital treatments, and health outcomes among children adolescents diagnosed or hospitalized with coronavirus disease 2019 (COVID-19) to compare them in secondary analyses patients previous seasonal influenza 2017–2018. METHODS International network cohort using real-world data from European primary care records (France, Germany, Spain), South Korean claims US claims, hospital databases. We included and/or COVID-19 at...
A) To characterize the incidence of kidney failure associated with intravitreal anti-vascular endothelial growth factor (VEGF) exposure, and B) compare risk in patients treated ranibizumab, aflibercept, or bevacizumab. Retrospective cohort study across 12 databases Observational Health Data Sciences Informatics (OHDSI) network. Subjects aged ≥18 years ≥3 monthly anti-VEGF medications for a blinding disease (diabetic retinopathy, diabetic macular edema, exudative age-related degeneration,...
Abstract Aim Assess the association of flossing with periodontitis. Materials and Methods This was a cross‐sectional study using National Health Nutrition Examination Survey ( NHANES ) years 2011‐2014. We used three categories flossing: 0–1, 2–4 ≥5 days in past week CDC definition calculated odds ratios controlling for age, gender, smoking, drinking, income dentist visits. Results A total 6939 adult subjects were included, 35% flossed ≤1 time week, 40% had After adjustment, periodontitis 17%...
Study Objectives: To assess the clinical relevance of sleep duration, hours slept were compared by health status, presence insomnia, and depression, association duration with BMI cardiovascular risk was quantified.Methods: Cross-sectional analysis subjects in US National Health Nutrition Examination Surveys using adjusted linear logistic regressions.Results: A total 22,281 adults included, 37% ≤ 6 hours, 36% obese, 45% reported conditions.Mean 6.87 hours.Better associated more sleep.Subjects...
Depression that does not respond to antidepressants is treatment-resistant depression (TRD). TRD definitions include assessments of treatment response, dose and duration, implementing these in claims databases can be challenging. We built a data-driven definition evaluated its performance.We included adults with depression, ≥1 antidepressant, no diagnosis mania, dementia, or psychosis. Subjects were stratified into those without proxy for TRD. Proxies electroconvulsive therapy, deep brain,...
ABSTRACT Objectives To characterize the demographics, comorbidities, symptoms, in-hospital treatments, and health outcomes among children/adolescents diagnosed or hospitalized with COVID-19. Secondly, to describe amongst previous seasonal influenza. Design International network cohort. Setting Real-world data from European primary care records (France/Germany/Spain), South Korean claims US hospital databases. Participants Diagnosed and/or COVID-19 at age <18 between January June 2020;...
As a response to the ongoing COVID-19 pandemic, several prediction models in existing literature were rapidly developed, with aim of providing evidence-based guidance. However, none these have been found be reliable. Models are commonly assessed risk bias, often due insufficient reporting, use non-representative data, and lack large-scale external validation. In this paper, we present Observational Health Data Sciences Informatics (OHDSI) analytics pipeline for patient-level modeling as...
Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response. Here we present international Observational Health Data Sciences and Informatics (OHDSI) Characterizing Associated Risks Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation analysis of COVID-19 RWD.
Objective To assess the uptake of second line antihyperglycaemic drugs among patients with type 2 diabetes mellitus who are receiving metformin. Design Federated pharmacoepidemiological evaluation in LEGEND-T2DM. Setting 10 US and seven non-US electronic health record administrative claims databases Observational Health Data Sciences Informatics network eight countries from 2011 to end 2021. Participants 4.8 million (≥18 years) across based had received metformin monotherapy initiated...
Adopting universal data standards such as OMOP and SNOMED is crucial for ensuring the integrity, interoperability, utility of in global health research, setting foundation more effective studies.
Clinical sequencing data should be shared in order to achieve the sufficient scale and diversity required provide strong evidence for improving patient care. A distributed research network allows researchers share this rather than patient-level across centers, thereby avoiding privacy issues. The Observational Medical Outcomes Partnership (OMOP) common model (CDM) used networks has low coverage of does not reflect latest trends precision medicine.The aim study was develop evaluate...
Background Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines.Some AESIs are not only associated with vaccines, but COVID-19.Our aim was characterise incidence rates following SARS-CoV-2 infection in patients and compare these historical general population.Methods A multi-national cohort study data from primary care, electronic health records, insurance claims mapped a common model.This study's evidence collected between Jan 1, 2017...
Abstract Objective Health data standardized to a common model (CDM) simplifies and facilitates research. This study examines the factors that make standardizing observational health Observational Medical Outcomes Partnership (OMOP) CDM successful. Materials methods Twenty-five partners (DPs) from 11 countries received funding European Data Evidence Network (EHDEN) standardize their data. Three surveys, DataQualityDashboard results, statistics conversion process were analyzed qualitatively...
Abstract Objective Observational studies can impact patient care but must be robust and reproducible. Nonreproducibility is primarily caused by unclear reporting of design choices analytic procedures. This study aimed to: (1) assess how the logic described in an observational could interpreted independent researchers (2) quantify interpretations’ variability on characteristics. Materials Methods Nine teams highly qualified reproduced a cohort from Albogami et al. The were provided clinical...
The primary aim of this work was to convert the Information System for Research in Primary Care (SIDIAP) from Catalonia, Spain, Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Our second provide a descriptive analysis COVID-19-related outcomes among general population.We mapped patient-level data SIDIAP OMOP CDM and we performed more than 3,400 quality checks assess its readiness research. We established population cohort as 1st March 2020 identified outpatient...
Clinical manifestations of hemolytic disease the fetus and newborn include anemia, hyperbilirubinemia, hydrops fetalis, kernicterus, fetal or neonatal demise. More than 50 antibodies are linked to newborn, with Rhesus (including D c) Kell antigens carrying highest risk disease. To date, a multicenter, comprehensive evaluation due antigen alloantibodies in United States has not been undertaken. This study aimed implement novel severity index characterize real-world spectrum from class....
<sec> <title>BACKGROUND</title> The European Health Data & Evidence Network (EHDEN) is the largest federated health data network in Europe, designed to harmonize diverse real-world (RWD) sources OMOP Common Model (CDM). By addressing challenges interoperability, governance, and quality assurance, EHDEN enables large-scale, high-quality evidence (RWE) generation support research regulatory decision-making. </sec> <title>OBJECTIVE</title> This paper provides an overview of network,...