Richard Kravitz, MD
About
Research
Publications
2025
Individualized Net Benefit of Intensive Blood Pressure Lowering Among Community‐Dwelling Older Adults in SPRINT
Jamshidian M, Scherzer R, Estrella M, Kravitz R, Boxer R, Tancredi D, Berry J, de Lemos J, Ginsberg C, Ix J, Shlipak M, Ascher S. Individualized Net Benefit of Intensive Blood Pressure Lowering Among Community‐Dwelling Older Adults in SPRINT. Journal Of The American Geriatrics Society 2025 PMID: 39967308, DOI: 10.1111/jgs.19395.Peer-Reviewed Original ResearchSystolic Blood Pressure Intervention TrialCommunity-dwelling older adultsIntensive blood pressureSystolic BP targetOlder adultsBlood pressureIndividual net benefitsIntensive BPBP targetsAdvanced ageSystolic Blood Pressure Intervention Trial participantsBenefits of BPOptimal blood pressureTreatment-related harmsCategories of ageAdverse eventsPositive net benefitsFrailty statusCardiovascular outcomesCognitive outcomesIntervention trialsCox modelRisk differenceSystolicPolypharmacyAssociation of Primary Care Access with Health-Related ChatGPT Use: A National Cross-Sectional Survey
Ayo-Ajibola O, Julien C, Lin M, Riddell J, Duan N, Kravitz R. Association of Primary Care Access with Health-Related ChatGPT Use: A National Cross-Sectional Survey. Journal Of General Internal Medicine 2025, 1-8. PMID: 39930155, DOI: 10.1007/s11606-025-09406-9.Peer-Reviewed Original ResearchOnline health informationPrimary care accessCare accessSource of primary careNational cross-sectional surveyOnline health information sourcesSources of online health informationPrimary care relationshipsCross-sectional surveyNational survey of patientsSurvey of patientsMultiple logistic regressionNon-white raceNational Institutes of HealthPrimary careHealth characteristicsInstitutes of HealthHealth informationChi-square testCaring relationshipsDescriptive statisticsLogistic regressionPrimary languageHigher incomeNational survey
2024
Characterizing the Adoption and Experiences of Users of Artificial Intelligence–Generated Health Information in the United States: Cross-Sectional Questionnaire Study
Ayo-Ajibola O, Davis R, Lin M, Riddell J, Kravitz R. Characterizing the Adoption and Experiences of Users of Artificial Intelligence–Generated Health Information in the United States: Cross-Sectional Questionnaire Study. Journal Of Medical Internet Research 2024, 26: e55138. PMID: 39141910, PMCID: PMC11358651, DOI: 10.2196/55138.Peer-Reviewed Original ResearchConceptsOnline health informationHealth informationCross-sectional questionnaire studyPatient-provider interactionsHealth behavior changeSources of online health informationHealth-seeking behaviorCross-sectional surveyWeb-based surveyNational Institutes of HealthPearson chi-square testHealth behaviorsHealth outcomesInstitutes of HealthHealth careChi-square testDescriptive statisticsQuestionnaire studyDemographic characteristicsMedical practiceHealthPublic healthChanging medicationComparing usersBehavioral changesIncorporating Individual-Level Treatment Effects and Outcome Preferences Into Personalized Blood Pressure Target Recommendations.
Ascher S, Kravitz R, Scherzer R, Berry J, de Lemos J, Estrella M, Tancredi D, Killeen A, Ix J, Shlipak M. Incorporating Individual-Level Treatment Effects and Outcome Preferences Into Personalized Blood Pressure Target Recommendations. Journal Of The American Heart Association 2024, 13: e033995. PMID: 39136305, DOI: 10.1161/jaha.124.033995.Peer-Reviewed Original ResearchNet benefitsSPRINT participantsIndividual-level treatment effectsPositive net benefitsBlood pressureIndividual treatment effectsTargeted recommendationsTreatment effectsSimulated preferencesRisk of adverse eventsAdverse eventsCognitive impairmentPreference weightsRisk differenceDecision-making frameworkAE riskPatient riskSprintSimulation benefitsParticipantsPredicted riskHigh riskCox modelBP loweringRiskWorkplace support for physicians during the COVID-19 Pandemic: Did it affect burnout?
Melnikow J, Xing G, Miller M, Loureiro S, Padovani A, Whitney R, Kravitz R. Workplace support for physicians during the COVID-19 Pandemic: Did it affect burnout? BMC Health Services Research 2024, 24: 888. PMID: 39097691, PMCID: PMC11298071, DOI: 10.1186/s12913-024-11366-5.Peer-Reviewed Original ResearchConceptsWorkplace support interventionsWorkplace supportPhysician burnoutSupport interventionsWorkplace interventionsCare physiciansAssociation of physician characteristicsSystem-level interventionsAssociated with lower oddsPrimary care physiciansEmergency medicine physiciansStress reduction programPractice critical careCritical care physiciansOpen-ended responsesClinician staffingIncrease nursesCOVID-19 pandemicStratified random sampleInadequate staffingPhysician characteristicsPhysician respondentsStaffing shortagesImprove staffingAcuity of patientsReporting Health Consequences of War
Kravitz R. Reporting Health Consequences of War. JAMA 2024, 332: 592-592. PMID: 39037827, DOI: 10.1001/jama.2024.11731.Peer-Reviewed Original ResearchPhysician and Practice Characteristics Influencing Telemedicine Uptake Among Frontline Clinicians in the Early COVID-19 Pandemic Response: National Survey Study
Hamline M, Xing G, Kravitz R, Miller M, Melnikow J. Physician and Practice Characteristics Influencing Telemedicine Uptake Among Frontline Clinicians in the Early COVID-19 Pandemic Response: National Survey Study. JMIR Formative Research 2024, 8: e50751. PMID: 39018095, PMCID: PMC11292149, DOI: 10.2196/50751.Peer-Reviewed Original ResearchTelemedicine uptakeTelemedicine useFrontline cliniciansClinician genderCensus regionPhysician-reported usePandemic responseFuture public health emergenciesEmergency medicine physiciansNational stratified sampleWeighted logistic regressionEarly pandemic responseCritical care physiciansNational survey studyPrimary careCare physiciansClinician specialtyReduce burnoutFrontline physiciansPublic health emergencyAssociated with higher levelsCOVID-19 pandemic responseCounty-level dataMedicine physiciansLogistic regressionIntensive Blood Pressure Lowering in Individuals With Low Diastolic Blood Pressure and Elevated Troponin Levels in SPRINT
Smith C, Berry J, Scherzer R, de Lemos J, Nambi V, Ballantyne C, Kravitz R, Killeen A, Ix J, Shlipak M, Ascher S. Intensive Blood Pressure Lowering in Individuals With Low Diastolic Blood Pressure and Elevated Troponin Levels in SPRINT. Journal Of The American Heart Association 2024, 13: e032493. PMID: 38497469, PMCID: PMC11010028, DOI: 10.1161/jaha.123.032493.Peer-Reviewed Original ResearchConceptsLower diastolic blood pressureDiastolic blood pressureHs-cTnTElevated hs-cTnTIntensive BPBlood pressureIntensive blood pressure loweringBaseline diastolic blood pressureCardiovascular diseaseElevated troponin levelsComposite end pointOptimal BP targetAll-cause deathBlood pressure loweringElevated systolic BPIntensive BP controlCardiovascular disease riskTroponin levelsBP loweringBP targetsMortality benefitPressure loweringSubgroup analysisBP controlSystolic BP
2023
Does haste make waste? Prevalence and types of errors reported after publication of studies of COVID-19 therapeutics
Chatterton B, Ascher S, Duan N, Kravitz R. Does haste make waste? Prevalence and types of errors reported after publication of studies of COVID-19 therapeutics. Systematic Reviews 2023, 12: 216. PMID: 37968691, PMCID: PMC10652527, DOI: 10.1186/s13643-023-02381-4.Peer-Reviewed Original Research
2001
Vaginal birth after cesarean in California.
Melnikow J, Romano P, Gilbert W, Schembri M, Keyzer J, Kravitz R. Vaginal birth after cesarean in California. Obstetrics And Gynecology 2001, 98: 421-6. PMID: 11530123, DOI: 10.1016/s0029-7844(01)01448-x.Peer-Reviewed Original ResearchConceptsTrial of laborCesarean rateVaginal birthNonfederal acute-care hospitalsCalifornia hospitalsReviewed medical records of womenCesarean delivery rateElective repeat cesareanAcute-care hospitalsInformed patient choiceMedical records of womenElective cesarean deliveryRecords of womenGroup of hospitalsLogistic regression modelsRepeat cesareanMethod of deliveryCesarean deliveryReviewed medical recordsPatient choiceCesareanHospitalDelivery rateRegression modelsStratified sampling