2024
A general framework for developing computable clinical phenotype algorithms
Carrell D, Floyd J, Gruber S, Hazlehurst B, Heagerty P, Nelson J, Williamson B, Ball R. A general framework for developing computable clinical phenotype algorithms. Journal Of The American Medical Informatics Association 2024, 31: 1785-1796. PMID: 38748991, PMCID: PMC11258420, DOI: 10.1093/jamia/ocae121.Peer-Reviewed Original ResearchNatural language processing methodsStage of algorithm developmentElectronic health record dataLanguage processing methodsHealth record dataGold standard dataMachine learningDevelopment of computational algorithmsPhenotyping algorithmsAlgorithm developmentAlgorithmPractice guidelinesRecord dataAlgorithm development processComputational algorithmDevelopment processProcessing methodsDevelopment projectsStandard dataModel evaluationClinical medicineGuidelinesPractical guidanceInformaticsHealthcareInfluenza vaccination accuracy among adults: Self-report compared with electronic health record data
Daley M, Reifler L, Shoup J, Glanz J, Lewin B, Klein N, Kharbanda E, McLean H, Hambidge S, Nelson J, Naleway A, Weintraub E, McNeil M, Razzaghi H, Singleton J. Influenza vaccination accuracy among adults: Self-report compared with electronic health record data. Vaccine 2024, 42: 2740-2746. PMID: 38531726, PMCID: PMC11238074, DOI: 10.1016/j.vaccine.2024.03.052.Peer-Reviewed Original ResearchInfluenza seasonNegative predictive valueVaccination dataSelf-reportInfluenza vaccineElectronic health record dataRandom sample of adultsHealth record dataCriterion standardInfluenzaModerate concordancePredictive valueResponse rateSurvey response rateSample of adultsVaccination statusSurvey yearRecord dataResearch NetworkRandom sampleAdultsImpact of the COVID-19 Pandemic on Health Care Utilization in the Vaccine Safety Datalink: Retrospective Cohort Study
Qian L, Sy L, Hong V, Glenn S, Ryan D, Nelson J, Hambidge S, Crane B, Zerbo O, DeSilva M, Glanz J, Donahue J, Liles E, Duffy J, Xu S. Impact of the COVID-19 Pandemic on Health Care Utilization in the Vaccine Safety Datalink: Retrospective Cohort Study. JMIR Public Health And Surveillance 2024, 10: e48159. PMID: 38091476, PMCID: PMC10807656, DOI: 10.2196/48159.Peer-Reviewed Original ResearchKaiser Permanente Southern CaliforniaHealth care utilizationLater pandemic periodsRetrospective cohort studyElectronic health record dataPre-pandemic levelsEarly pandemic periodHealth record dataCare utilizationCare settingsVisit ratesPre-pandemic periodED visitsCohort studyEmergency departmentCOVID-19Vaccine Safety Datalink ProjectHealth care organizationsCOVID-19 pandemicVaccine Safety DatalinkRecord dataEntire study populationPandemic periodCare organizationsHealth care settings
2023
Racial and ethnic disparities in influenza vaccination coverage among pregnant women in the United States: The contribution of vaccine-related attitudes
Daley M, Reifler L, Shoup J, Glanz J, Naleway A, Nelson J, Williams J, McLean H, Vazquez-Benitez G, Goddard K, Lewin B, Weintraub E, McNeil M, Razzaghi H, Singleton J. Racial and ethnic disparities in influenza vaccination coverage among pregnant women in the United States: The contribution of vaccine-related attitudes. Preventive Medicine 2023, 177: 107751. PMID: 37926397, PMCID: PMC10881081, DOI: 10.1016/j.ypmed.2023.107751.Peer-Reviewed Original ResearchConceptsVaccine-related attitudesInfluenza vaccination coveragePregnant womenInfluenza vaccinationVaccination coverageEthnic disparitiesHigher influenza vaccination coverageSelf-reported influenza vaccinationNon-Hispanic black womenNon-Hispanic black respondentsElectronic health record dataHealth record dataNon-Hispanic white respondentsSurvey response rateInfluenza seasonMaternal ageVaccinationResponse rateHealth statusCoverage disparitiesRecord dataWomenEthnic differencesSurvey yearBlack women