2024
Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks
Lu Y, Keeley E, Barrette E, Cooper-DeHoff R, Dhruva S, Gaffney J, Gamble G, Handke B, Huang C, Krumholz H, McDonough C, Schulz W, Shaw K, Smith M, Woodard J, Young P, Ervin K, Ross J. Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks. BMC Cardiovascular Disorders 2024, 24: 497. PMID: 39289597, PMCID: PMC11409735, DOI: 10.1186/s12872-024-04161-x.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsHealth systemUncontrolled hypertensionUse of electronic health recordsHypertension managementElectronic health record systemsOneFlorida Clinical Research ConsortiumElectronic health record dataYale New Haven Health SystemBP measurementsICD-10-CM codesHealth system networkPublic health priorityICD-10-CMIncidence rate of deathElevated BP measurementsElevated blood pressure measurementsHealthcare visitsAmbulatory careHealth priorityRetrospective cohort studyEHR dataOneFloridaBlood pressure measurementsIntegrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study
Thanarajasingam G, Kluetz P, Bhatnagar V, Brown A, Cathcart-Rake E, Diamond M, Faust L, Fiero M, Huntington S, Jeffery M, Jones L, Noble B, Paludo J, Powers B, Ross J, Ritchie J, Ruddy K, Schellhorn S, Tarver M, Dueck A, Gross C. Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study. BMJ Open 2024, 14: e074030. PMID: 38199641, PMCID: PMC10806877, DOI: 10.1136/bmjopen-2023-074030.Peer-Reviewed Original ResearchConceptsPhysical function assessmentPhysical functionFunctional assessmentEvaluation of physical functionElectronic health record dataEvaluate physical functionHealth record dataSpanish-speaking patientsDigital health technologiesBreast cancerProspective cohort studyClinician-reported outcomesCancer clinical trialsClinical decision-makingStudy questionnairePatient-centred evaluationHealth technologiesMeasure symptomsOncology practiceCohort studyRecord dataPatient's impressionMayo ClinicEnglish-speakingWearable sensors
2023
Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials
Wallach J, Deng Y, Polley E, Dhruva S, Herrin J, Quinto K, Gandotra C, Crown W, Noseworthy P, Yao X, Jeffery M, Lyon T, Ross J, McCoy R. Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials. Clinical Trials 2023, 20: 689-698. PMID: 37589143, PMCID: PMC10843567, DOI: 10.1177/17407745231193137.Peer-Reviewed Original ResearchConceptsBaseline participant characteristicsParticipant characteristicsPrimary endpointSecondary endpointsTrial publicationsMajor adverse cardiovascular eventsPropensity score-matched participantsFirst major adverse cardiovascular eventAdverse cardiovascular eventsBaseline patient characteristicsNonfatal myocardial infarctionOptumLabs Data WarehouseElectronic health record dataRepresentative patient populationHealth record dataCardiovascular eventsClinical characteristicsPatient characteristicsPatient populationMyocardial infarctionExclusion criteriaDrug effectivenessTrialsRecord dataEndpointIntegrating real-world data to assess cardiac ablation device outcomes in a multicenter study using the OMOP common data model for regulatory decisions: implementation and evaluation
Yu Y, Jiang G, Brandt E, Forsyth T, Dhruva S, Zhang S, Chen J, Noseworthy P, Doshi A, Collison-Farr K, Kim D, Ross J, Coplan P, Drozda J. Integrating real-world data to assess cardiac ablation device outcomes in a multicenter study using the OMOP common data model for regulatory decisions: implementation and evaluation. JAMIA Open 2023, 6: ooac108. PMID: 36632328, PMCID: PMC9831049, DOI: 10.1093/jamiaopen/ooac108.Peer-Reviewed Original ResearchOMOP Common Data ModelCommon data modelData modelMedical device dataObservational Medical Outcomes Partnership Common Data ModelReal-world dataReal-world evaluationData integrationMultiple healthcare systemsData transformationHealthcare systemElectronic health record dataDevice dataData sourcesChain databaseLoad processHealth record dataTest casesMercy HealthQA analysisMulticenter studyMayo ClinicPatient outcomesPatient encountersDevice outcomes
2022
Safety and Effectiveness of a Catheter With Contact Force and 6-Hole Irrigation for Ablation of Persistent Atrial Fibrillation in Routine Clinical Practice
Dhruva SS, Zhang S, Chen J, Noseworthy PA, Doshi AA, Agboola KM, Herrin J, Jiang G, Yu Y, Cafri G, Farr K, Ervin KR, Ross JS, Coplan PM, Drozda JP. Safety and Effectiveness of a Catheter With Contact Force and 6-Hole Irrigation for Ablation of Persistent Atrial Fibrillation in Routine Clinical Practice. JAMA Network Open 2022, 5: e2227134. PMID: 35976649, PMCID: PMC9386540, DOI: 10.1001/jamanetworkopen.2022.27134.Peer-Reviewed Original ResearchConceptsPersistent AF ablationRoutine clinical practiceMercy HealthAF ablationMayo ClinicSafety outcomesClinical practiceCatheter groupCohort studyCatheter ablationPersistent AFParoxysmal atrial fibrillation ablationThermocool SmartTouch catheterComposite of deathPrimary safety outcomeAtrial fibrillation ablationPersistent atrial fibrillationElectronic health record dataHealth system dataHealth record dataHealth care systemSmartTouch catheterThromboembolic eventsFibrillation ablationProcedural complicationsAcute pain pathways: protocol for a prospective cohort study
Jeffery MM, Ahadpour M, Allen S, Araojo R, Bellolio F, Chang N, Ciaccio L, Emanuel L, Fillmore J, Gilbert GH, Koussis P, Lee C, Lipkind H, Mallama C, Meyer T, Moncur M, Nuckols T, Pacanowski MA, Page DB, Papadopoulos E, Ritchie JD, Ross JS, Shah ND, Soukup M, St. Clair CO, Tamang S, Torbati S, Wallace DW, Zhao Y, Heckmann R. Acute pain pathways: protocol for a prospective cohort study. BMJ Open 2022, 12: e058782. PMID: 35790333, PMCID: PMC9258513, DOI: 10.1136/bmjopen-2021-058782.Peer-Reviewed Original ResearchConceptsAcute painOpioid analgesicsMulticentre prospective observational studyLittle high-quality evidenceNon-cancer painOpioid analgesic useResolution of painProspective cohort studyProspective observational studyPatient-centered outcomesElectronic health record dataEvidence-based guidelinesHigh-quality evidenceHealth record dataDiverse clinical settingsLong-term useClinician prescribingLeftover opioidsAnalgesic usePain controlCohort studyPain conditionsPain managementPain treatmentCommon diagnosisA multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations
Khera R, Mortazavi BJ, Sangha V, Warner F, Patrick Young H, Ross JS, Shah ND, Theel ES, Jenkinson WG, Knepper C, Wang K, Peaper D, Martinello RA, Brandt CA, Lin Z, Ko AI, Krumholz HM, Pollock BD, Schulz WL. A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. Npj Digital Medicine 2022, 5: 27. PMID: 35260762, PMCID: PMC8904579, DOI: 10.1038/s41746-022-00570-4.Peer-Reviewed Original ResearchCOVID-19 hospitalizationMayo ClinicDiagnosis codesCOVID-19 diagnosisPositive SARS-CoV-2 PCRYale New Haven Health SystemPositive SARS-CoV-2 testSARS-CoV-2 infectionSARS-CoV-2 PCRSARS-CoV-2 testCOVID-19Higher inhospital mortalitySARS-CoV2 infectionElectronic health record dataICD-10 diagnosisPositive laboratory testsHealth record dataInhospital mortalityAdditional patientsAntigen testSecondary diagnosisPrincipal diagnosisMulticenter evaluationPositive testComputable phenotype definitions
2021
Physical activity, patient-reported symptoms, and clinical events: Insights into postprocedural recovery from personal digital devices
Bartlett VL, Ross JS, Shah ND, Ciaccio L, Akar JG, Noseworthy PA, Dhruva SS. Physical activity, patient-reported symptoms, and clinical events: Insights into postprocedural recovery from personal digital devices. Cardiovascular Digital Health Journal 2021, 2: 212-221. PMID: 35265911, PMCID: PMC8890038, DOI: 10.1016/j.cvdhj.2021.06.002.Peer-Reviewed Original ResearchPatient-reported outcome measuresMedian daily stepsAtrial fibrillationDaily stepsPostprocedural recoveryBariatric surgeryClinical eventsAF ablation patientsPatient-reported symptomsElectronic health record dataUsual clinical settingSignificant mean decreaseHealth record dataAntiarrhythmic drug prescriptionAblation patientsAF ablationCatheter ablationDrug prescriptionsPatient recoveryOutcome measuresPROM dataPhysical activityMean decreasePatientsRhythm assessmentPhysician variation in the de‐adoption of ineffective statin and fibrate therapy
Everhart A, Desai NR, Dowd B, Herrin J, Higuera L, Jeffery MM, Jena AB, Ross JS, Shah ND, Smith LB, Karaca‐Mandic P. Physician variation in the de‐adoption of ineffective statin and fibrate therapy. Health Services Research 2021, 56: 919-931. PMID: 33569804, PMCID: PMC8522575, DOI: 10.1111/1475-6773.13630.Peer-Reviewed Original ResearchMeSH KeywordsAgedDiabetes Mellitus, Type 2Drug Therapy, CombinationDrug UtilizationFemaleFibric AcidsGuideline AdherenceHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypoglycemic AgentsHypolipidemic AgentsLongitudinal StudiesMaleMedicare Part CMiddle AgedPractice Guidelines as TopicPractice Patterns, Physicians'Risk FactorsUnited StatesConceptsMedicare Advantage patientsType 2 diabetic patientsACCORD lipid trialFibrate useAdvantage patientsCommercial patientsPhysician characteristicsLIPID trialFibrate therapyDiabetic patientsPhysician variationDiabetes careType 2 diabetes diagnosisContinuous insurance enrollmentPatient diabetes carePhysician random effectsGlucose-lowering drugsElectronic health record dataHealth record dataReal-world data assetConcurrent statinCardiovascular eventsStatin usersClinical evidenceManagement visits
2020
Commentary on Bertagnolli et al.: Leveraging electronic health record data for clinical trials—a brave new world
Ross JS, Dhruva SS, Shah ND. Commentary on Bertagnolli et al.: Leveraging electronic health record data for clinical trials—a brave new world. Clinical Trials 2020, 17: 243-246. PMID: 32266836, DOI: 10.1177/1740774520913850.Commentaries, Editorials and LettersMeSH KeywordsElectronic Health Records