2022
Effectiveness of a clinical decision support system for hypertension management in primary care: study protocol for a pragmatic cluster-randomized controlled trial
Song J, Wang X, Wang B, Gao Y, Liu J, Zhang H, Li X, Li J, Wang JG, Cai J, Herrin J, Armitage J, Krumholz HM, Zheng X. Effectiveness of a clinical decision support system for hypertension management in primary care: study protocol for a pragmatic cluster-randomized controlled trial. Trials 2022, 23: 412. PMID: 35578345, PMCID: PMC9109449, DOI: 10.1186/s13063-022-06374-x.Peer-Reviewed Original ResearchConceptsHypertension managementPrimary carePrimary outcomeDual antihypertensive therapyHypertension Treatment TrialBlood pressure managementGuideline-based treatmentPrimary care sitesCluster-randomized trialUnit of randomizationGuideline-based decision support systemClinical decision support systemAntihypertensive regimensAntihypertensive treatmentUsual careGuideline adherenceBlood pressureMiddle-income countriesTreatment trialsManagement visitsStudy protocolCare sitesPatientsTrialsPressure management
2020
Leveraging the Electronic Health Records for Population Health: A Case Study of Patients With Markedly Elevated Blood Pressure
Lu Y, Huang C, Mahajan S, Schulz WL, Nasir K, Spatz ES, Krumholz HM. Leveraging the Electronic Health Records for Population Health: A Case Study of Patients With Markedly Elevated Blood Pressure. Journal Of The American Heart Association 2020, 9: e015033. PMID: 32200730, PMCID: PMC7428633, DOI: 10.1161/jaha.119.015033.Peer-Reviewed Original ResearchConceptsDiastolic blood pressureSystolic blood pressureElevated blood pressureBlood pressureElectronic health recordsPopulation health surveillanceHealth recordsYale New Haven Health SystemHealth surveillanceHealth systemPatterns of patientsLarge health systemUsual careOutpatient encountersControl ratePatientsCare patternsPopulation healthMonthsHgSurveillancePrevalenceRecordsVisitsCare
2019
P573Effects of mobile text messaging on glycemic control in patients with coronary heart disease and diabetes mellitus: a randomized controlled trial
Huo X, Krumholz H, Bai X, Spatz E, Ding Q, Horak P, Zhao W, Gong Q, Yan X, Wu X, Li J, Li X, Spertus J, Masoudi F, Zheng X. P573Effects of mobile text messaging on glycemic control in patients with coronary heart disease and diabetes mellitus: a randomized controlled trial. European Heart Journal 2019, 40: ehz747.0184. DOI: 10.1093/eurheartj/ehz747.0184.Peer-Reviewed Original ResearchCoronary heart diseaseIntervention groupPhysical activityControl groupGlycemic controlHeart diseaseBaseline 6 monthsHigh-risk patientsText messaging programsSecondary outcome analysisMobile health interventionsText message programMean change differenceBP controlGlycemic hemoglobinHbA1c levelsLifestyle modificationUsual careDiabetes mellitusFamily Planning CommissionPrimary outcomeLifestyle recommendationsMonth followRisk factorsClinical trialsEffects of Mobile Text Messaging on Glycemic Control in Patients With Coronary Heart Disease and Diabetes Mellitus
Huo X, Krumholz HM, Bai X, Spatz ES, Ding Q, Horak P, Zhao W, Gong Q, Zhang H, Yan X, Sun Y, Liu J, Wu X, Guan W, Wang X, Li J, Li X, Spertus JA, Masoudi FA, Zheng X. Effects of Mobile Text Messaging on Glycemic Control in Patients With Coronary Heart Disease and Diabetes Mellitus. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005805. PMID: 31474119, DOI: 10.1161/circoutcomes.119.005805.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsian PeopleBiomarkersBlood GlucoseChinaCoronary DiseaseCulturally Competent CareDiabetes MellitusExerciseFemaleGlycated HemoglobinHealth CommunicationHealthy LifestyleHumansHypoglycemic AgentsMaleMedication AdherenceMiddle AgedMotivationPatient Education as TopicRisk Reduction BehaviorSelf CareSingle-Blind MethodTelemedicineText MessagingTime FactorsTreatment OutcomeConceptsCoronary heart diseaseHeart diseaseGlycemic controlIntervention groupUsual careDiabetes mellitusBlood glucosePhysical activityControl groupText message-based interventionBlood pressure controlProportion of patientsRisk factor managementGood glycemic controlSystolic blood pressureBody mass indexText messaging programsText message interventionMobile health interventionsSecondary outcomesBlood pressurePrimary outcomeLDL cholesterolMass indexMedication adherenceEffect of Text Messaging on Risk Factor Management in Patients With Coronary Heart Disease
Zheng X, Spatz ES, Bai X, Huo X, Ding Q, Horak P, Wu X, Guan W, Chow CK, Yan X, Sun Y, Wang X, Zhang H, Liu J, Li J, Li X, Spertus JA, Masoudi FA, Krumholz HM. Effect of Text Messaging on Risk Factor Management in Patients With Coronary Heart Disease. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005616. PMID: 30998400, DOI: 10.1161/circoutcomes.119.005616.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsian PeopleBlood PressureChinaCoronary DiseaseCulturally Competent CareFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPatient Education as TopicRisk AssessmentRisk FactorsSecondary PreventionSingle-Blind MethodTelemedicineText MessagingTime FactorsTreatment OutcomeConceptsCoronary heart diseaseSystolic blood pressureBody mass indexBlood pressureHeart diseaseSecondary preventionIntervention groupPhysical activityEnd pointSmoking statusMass indexControl groupPrimary end pointRisk factor controlSecondary end pointsRisk factor managementLDL-C levelsDisease-specific knowledgeMobile phone textMobile health technologyUsual careDiabetes mellitusMedication adherenceRisk factorsFactor management
2017
Impact of Telemonitoring on Health Status
Jayaram NM, Khariton Y, Krumholz HM, Chaudhry SI, Mattera J, Tang F, Herrin J, Hodshon B, Spertus JA. Impact of Telemonitoring on Health Status. Circulation Cardiovascular Quality And Outcomes 2017, 10: e004148. PMID: 29237746, PMCID: PMC5776725, DOI: 10.1161/circoutcomes.117.004148.Peer-Reviewed Original ResearchConceptsKansas City Cardiomyopathy QuestionnaireUsual careHealth statusHeart failureKCCQ overall summary scoreRecent heart failure hospitalizationDisease-specific health statusKCCQ overall summaryHeart failure hospitalizationWeeks of dischargeRandomized clinical trialsOverall summary scoreKCCQ scoresNoninvasive TelemonitoringFailure hospitalizationBaseline characteristicsSecondary outcomesTreatment armsClinical trialsSummary scoresPatientsSubscale scoresCareHospitalizationScores
2010
Telemonitoring in Patients with Heart Failure
Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM. Telemonitoring in Patients with Heart Failure. New England Journal Of Medicine 2010, 363: 2301-2309. PMID: 21080835, PMCID: PMC3237394, DOI: 10.1056/nejmoa1010029.Peer-Reviewed Original ResearchConceptsPrimary end pointUsual care groupSecondary end pointsHeart failureEnd pointHeart failure outcomesNumber of hospitalizationsTelephone-based interactive voice response systemUsual careAdverse eventsPatient's clinicianMedian ageCare groupLarge trialsInteractive voice response systemPatientsSmall studyVoice response systemNumber of daysHospitalizationReadmissionTelemonitoringSignificant differencesCliniciansDeath
2007
Randomized Trial of Telemonitoring to Improve Heart Failure Outcomes (Tele-HF): Study Design
Chaudhry SI, Barton B, Mattera J, Spertus J, Krumholz HM. Randomized Trial of Telemonitoring to Improve Heart Failure Outcomes (Tele-HF): Study Design. Journal Of Cardiac Failure 2007, 13: 709-714. PMID: 17996818, PMCID: PMC2702538, DOI: 10.1016/j.cardfail.2007.06.720.Peer-Reviewed Case Reports and Technical NotesConceptsHeart failure outcomesHeart failureClinical statusFailure outcomesDecompensated heart failureHeart failure decompensationCare of patientsPrimary care practicesSelf-reported weightUsual careHospital readmissionDaily symptomsRandomized trialsGeneral cardiologyPatient participationHealth behaviorsCare practicesPatientsFrequent monitoringFavorable effectInterventionOutcomesSymptomsTrialsCare
2005
A Randomized Outpatient Trial of a Decision-Support Information Technology Tool
Apkon M, Mattera JA, Lin Z, Herrin J, Bradley EH, Carbone M, Holmboe ES, Gross CP, Selter JG, Rich AS, Krumholz HM. A Randomized Outpatient Trial of a Decision-Support Information Technology Tool. JAMA Internal Medicine 2005, 165: 2388-2394. PMID: 16287768, DOI: 10.1001/archinte.165.20.2388.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmbulatory CareAttitude of Health PersonnelCost-Benefit AnalysisDecision Support Systems, ClinicalFemaleFloridaHealth ResourcesHospitals, MilitaryHumansKentuckyMaleMass ScreeningMultivariate AnalysisOutcome and Process Assessment, Health CarePatient SatisfactionPreventive MedicineQuality of Health CareConceptsProvider satisfactionAmbulatory clinic visitsUsual care patientsDays of enrollmentQuality process measuresQuality of careProportion of opportunitiesUsual careClinic visitsOutpatient trialSecondary outcomesPrimary outcomeAcute carePatient satisfactionIntervention groupHealth care opportunitiesPatientsClinical decisionCare opportunitiesPharmacy resourcesPreventive measuresProcess measuresCareMedical resourcesModest improvement
2004
Clinical trial of an educational intervention to achieve recommended cholesterol levels in patients with coronary artery disease
Lichtman JH, Amatruda J, Yaari S, Cheng S, Smith GL, Mattera JA, Roumanis SA, Wang Y, Radford MJ, Krumholz HM. Clinical trial of an educational intervention to achieve recommended cholesterol levels in patients with coronary artery disease. American Heart Journal 2004, 147: 522-528. PMID: 14999204, DOI: 10.1016/j.ahj.2003.06.003.Peer-Reviewed Original ResearchConceptsLDL cholesterol target levelsCholesterol target levelsProportion of patientsCoronary artery diseaseUsual care groupArtery diseaseLevels 1 yearCholesterol managementCare groupEducational interventionPatient knowledgeLow-density lipoprotein cholesterol (LDL-C) target levelsTarget levelCholesterol knowledgeUsual careClinical characteristicsSecondary outcomesPrimary outcomeCholesterol levelsClinical trialsIntervention groupPatientsHospitalizationDiseaseIntervention