2022
Technical Dissonance in Home Blood Pressure Monitoring After Stroke: Having the Machine, but Not Using Correctly.
Forman R, Viscoli C, Meurer K, Sheth K, Sansing L, de Havenon A, Sharma R, Mariscal M, Kernan W. Technical Dissonance in Home Blood Pressure Monitoring After Stroke: Having the Machine, but Not Using Correctly. American Journal Of Hypertension 2022, 36: 195-200. PMID: 36520024, PMCID: PMC10016067, DOI: 10.1093/ajh/hpac129.Peer-Reviewed Original ResearchConceptsHome blood pressure monitoringBlood pressure monitoringBlood pressurePressure monitoringNon-Hispanic white patientsProportion of patientsCross-sectional studyNon-Hispanic white participantsStroke recurrenceRate of useMost patientsPrimary outcomeWhite patientsRate of possessionPatientsUnderrepresented patientsArm cuffHypertensionStrokeCorrect useWhite participantsSignificant disparitiesEthnic groupsParticipantsQuality of technique
2011
Boosting enrolment in clinical trials: validation of a regional network model
Kernan W, Viscoli C, Brass L, Amatangelo M, Birch A, Clark W, Conwit R, Furie K, Gorman M, Pesapane B, Kleindorfer D, Lovejoy A, Osborne J, Silliman S, Zweifler R, Horwitz R. Boosting enrolment in clinical trials: validation of a regional network model. Clinical Trials 2011, 8: 645-653. PMID: 21824978, PMCID: PMC3852692, DOI: 10.1177/1740774511414925.Peer-Reviewed Original ResearchConceptsClinical trialsTransient ischemic attackNames of patientsEligible patientsIschemic attackStroke preventionDrug adherenceStroke therapyActive surveillanceAverage monthly rateHome visitsPatientsHospitalTrial researchParticipant costsOutreach NetworkMultiple hospitalsTrialsStudy intervalNational InstituteEnrollmentMonthly rateStrokeParticipantsReproducible method
2009
Boosting enrollment in neurology trials with Local Identification and Outreach Networks (LIONs)
Kernan WN, Viscoli CM, DeMarco D, Mendes B, Shrauger K, Schindler JL, McVeety JC, Sicklick A, Moalli D, Greco P, Bravata DM, Eisen S, Resor L, Sena K, Story D, Brass LM, Furie KL, Gutmann L, Hinnau E, Gorman M, Lovejoy AM, Inzucchi SE, Young LH, Horwitz RI. Boosting enrollment in neurology trials with Local Identification and Outreach Networks (LIONs). Neurology 2009, 72: 1345-1351. PMID: 19365056, PMCID: PMC2677492, DOI: 10.1212/wnl.0b013e3181a0fda3.Peer-Reviewed Original ResearchConceptsOutreach NetworkCentral coordinating centerInsulin Resistance InterventionSecondary stroke preventionNames of patientsResults of surveillanceStroke preventionMore patientsStroke siteConnecticut hospitalsTrial participantsHome visitsPatientsResistance InterventionPersonal physicianElectronic admissionRandomization ratesCoordinating CenterMore rapid completionMonthsHigher enrollment ratesHospitalRecruitment strategiesTrialsParticipants
2005
Altruism as a reason for participation in clinical trials was independently associated with adherence
Rosenbaum JR, Wells CK, Viscoli CM, Brass LM, Kernan WN, Horwitz RI. Altruism as a reason for participation in clinical trials was independently associated with adherence. Journal Of Clinical Epidemiology 2005, 58: 1109-1114. PMID: 16223653, DOI: 10.1016/j.jclinepi.2005.03.014.Peer-Reviewed Original ResearchConceptsClinical trialsBetter functional statusStudy medicationMedical regimenRecruitment of participantsClinical featuresStroke trialsFunctional statusWomen's EstrogenStratified analysisMultivariable regressionClinical researchEstrogenTrialsAdherenceBaseline featuresSocial supportFurther investigationWomenParticipantsAltruistic reasonsPossible contributionHigh levelsPlaceboMedicationsAssociation between Impaired Insulin Sensitivity and Stroke
Bravata DM, Wells CK, Kernan WN, Concato J, Brass LM, Gulanski BI. Association between Impaired Insulin Sensitivity and Stroke. Neuroepidemiology 2005, 25: 69-74. PMID: 15947493, DOI: 10.1159/000086286.Peer-Reviewed Original ResearchConceptsHomeostasis model assessmentInsulin sensitivityGlycemic controlMultivariable logistic regression analysisStroke risk factorsLower insulin sensitivityThird National HealthImpaired insulin sensitivityLogistic regression analysisStroke historyInsulin resistancePlasma insulinPlasma glucoseRisk factorsNational HealthNutrition SurveyModel assessmentStrokeRegression analysisAssociationParticipantsClaudicationInsulin