2024
Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.
Shimbo D, Shah R, Abdalla M, Agarwal R, Ahmad F, Anaya G, Attia Z, Bull S, Chang A, Commodore-Mensah Y, Ferdinand K, Kawamoto K, Khera R, Leopold J, Luo J, Makhni S, Mortazavi B, Oh Y, Savage L, Spatz E, Stergiou G, Turakhia M, Whelton P, Yancy C, Iturriaga E. Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report. Hypertension 2024 PMID: 39011653, DOI: 10.1161/hypertensionaha.124.22095.Peer-Reviewed Original ResearchMachine learning toolsManagement of hypertensionNational HeartArtificial intelligenceBlood InstitutePredictive of incident hypertensionHealth care systemImplementation challengesDiverse group of stakeholdersAI toolsPopulation healthMeasurement of blood pressureCare systemHealth careIncident hypertensionHypertension riskEra of artificial intelligenceHypertension diagnosisLearning toolsManaging hypertensionHypertension-related complicationsAntihypertensive medicationsHealthPublic healthGroups of stakeholders
2023
Primary care institutional characteristics associated with hypertension awareness, treatment, and control in the China PEACE-Million Persons Project and primary health-care survey: a cross-sectional study
Group C, Zhou T, Wang Y, Zhang H, Wu C, Tian N, Cui J, Bai X, Yang Y, Zhang X, Lu Y, Spatz E, Ross J, Krumholz H, Lu J, Li X, Hu S. Primary care institutional characteristics associated with hypertension awareness, treatment, and control in the China PEACE-Million Persons Project and primary health-care survey: a cross-sectional study. The Lancet Global Health 2023, 11: e83-e94. PMID: 36521957, DOI: 10.1016/s2214-109x(22)00428-4.Peer-Reviewed Original ResearchConceptsProportion of participantsPrimary care institutionsHypertension awarenessPrimary care systemBlood pressureCare institutionsCardiac Events Million Persons ProjectAverage diastolic blood pressureMedical Sciences (CAMS) Innovation FundAverage systolic blood pressureCare systemMillion Persons ProjectHistory of hypertensionDiastolic blood pressurePrimary care surveySystolic blood pressureCardiovascular disease riskBlood pressure measurementsCross-sectional studyParticipant-level dataProportion of physiciansRoutine service deliveryPrimary care roleHealth Care SurveyPublic health services
2018
Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older
Riley C, Roy B, Herrin J, Spatz ES, Arora A, Kell KP, Rula EY, Krumholz HM. Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older. JAMA Network Open 2018, 1: e182136. PMID: 30646154, PMCID: PMC6324481, DOI: 10.1001/jamanetworkopen.2018.2136.Peer-Reviewed Original ResearchConceptsMedicare FFS beneficiariesPeople 65 yearsHealth care spendingFFS beneficiariesCare spendingPopulation-based cross-sectional studyLower health care spendingHealth care system capacityCross-sectional studyHealth care systemPopulation levelPayment modelsCare payment modelsHighest quintileInverse associationStudy interventionMAIN OUTCOMEMedicare feeMedicare beneficiariesUS national studyOverall healthMedian household incomeBeing IndexCare systemDemographic characteristics
2015
Insurance and Prehospital Delay in Patients ≤55 Years With Acute Myocardial Infarction
Chen SI, Wang Y, Dreyer R, Strait KM, Spatz ES, Xu X, Smolderen KG, Desai NR, Lorenze NP, Lichtman JH, Spertus JA, D'Onofrio G, Bueno H, Masoudi FA, Krumholz HM. Insurance and Prehospital Delay in Patients ≤55 Years With Acute Myocardial Infarction. The American Journal Of Cardiology 2015, 116: 1827-1832. PMID: 26541907, PMCID: PMC5323057, DOI: 10.1016/j.amjcard.2015.09.018.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPrehospital delayInsurance statusMyocardial infarctionSpanish patientsGender differencesHealth care systemUS patientsProspective studyUS cohortUS womenPatientsUniversal insuranceCare systemWomenSignificant gender differencesInfarctionMenInsurance groupsHoursStatusAssociationLarge proportionDifferencesCohort