2021
Identification of Hospitals That Care for a High Proportion of Patients With Social Risk Factors
Matty R, Heckmann R, George E, Barthel AB, Suter LG, Ross JS, Bernheim SM. Identification of Hospitals That Care for a High Proportion of Patients With Social Risk Factors. JAMA Health Forum 2021, 2: e211323. PMID: 35977204, PMCID: PMC8796989, DOI: 10.1001/jamahealthforum.2021.1323.Peer-Reviewed Original ResearchConceptsSocial risk factorsIdentification of hospitalsProportion of patientsRisk factorsCross-sectional studyHospital performance measuresPatient populationHospital Readmissions Reduction ProgramAfrican American raceProportion of hospitalsDisadvantaged patient populationsReadmissions Reduction ProgramHigher proportionSocioeconomic status scoresSame hospitalStatus scoreCrowded householdsMAIN OUTCOMEMedicaid coverageAmerican racePatientsHospitalHealthcare ResearchDisadvantaged populationsSuch hospitals
2015
National assessment of early β-blocker therapy in patients with acute myocardial infarction in China, 2001-2011: The China Patient-centered Evaluative Assessment of Cardiac Events (PEACE)–Retrospective AMI Study
Zhang H, Masoudi FA, Li J, Wang Q, Li X, Spertus JA, Ross JS, Desai NR, Krumholz HM, Jiang L, Group C. National assessment of early β-blocker therapy in patients with acute myocardial infarction in China, 2001-2011: The China Patient-centered Evaluative Assessment of Cardiac Events (PEACE)–Retrospective AMI Study. American Heart Journal 2015, 170: 506-515.e1. PMID: 26385034, PMCID: PMC5459420, DOI: 10.1016/j.ahj.2015.05.012.Peer-Reviewed Original ResearchConceptsΒ-blocker therapyAcute myocardial infarctionΒ-blocker useCardiogenic shockRisk factorsAbsolute contraindicationMyocardial infarctionEarly β-blocker useLower systolic blood pressureHours of admissionMedical record reviewSystolic blood pressureClinical practice guidelinesLower heart rateQuality of careChest discomfortCardiac eventsBlood pressureRecord reviewChina PatientIdeal patientPractice guidelinesHeart rateHigh riskPatterns of use
2014
Usual Source of Care and Outcomes Following Acute Myocardial Infarction
Spatz ES, Sheth SD, Gosch KL, Desai MM, Spertus JA, Krumholz HM, Ross JS. Usual Source of Care and Outcomes Following Acute Myocardial Infarction. Journal Of General Internal Medicine 2014, 29: 862-869. PMID: 24553957, PMCID: PMC4026492, DOI: 10.1007/s11606-014-2794-0.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUsual sourceMyocardial infarctionMortality rateBaseline risk factorsAcute clinical eventsMain outcome measuresAMI severityAMI patientsMultivariable analysisKey ResultsAmongClinical eventsSocio-demographic characteristicsRisk factorsOutcome measuresReadmissionHigh mortalityPatientsMortalityCareMonthsInfarctionAdultsOutcomesAssociation
2012
Financial Stress and Outcomes after Acute Myocardial Infarction
Shah SJ, Krumholz HM, Reid KJ, Rathore SS, Mandawat A, Spertus JA, Ross JS. Financial Stress and Outcomes after Acute Myocardial Infarction. PLOS ONE 2012, 7: e47420. PMID: 23112814, PMCID: PMC3480393, DOI: 10.1371/journal.pone.0047420.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionSeattle Angina QuestionnaireLong-term outcomesMyocardial infarctionAMI patientsWorse long-term outcomesMulticenter US studyPost-AMI outcomesYear post-AMIDisease-specific QoLImportant risk factorHealth status outcomesWorse physical healthHealth care outcomesAngina QuestionnaireProspective registryInitial hospitalizationSecondary outcomesPrimary outcomeReadmission ratesPost-AMIRisk factorsCare characteristicsCare outcomesStatus outcomes
2010
Hospital Volume and 30-Day Mortality for Three Common Medical Conditions
Ross JS, Normand SL, Wang Y, Ko DT, Chen J, Drye EE, Keenan PS, Lichtman JH, Bueno H, Schreiner GC, Krumholz HM. Hospital Volume and 30-Day Mortality for Three Common Medical Conditions. New England Journal Of Medicine 2010, 362: 1110-1118. PMID: 20335587, PMCID: PMC2880468, DOI: 10.1056/nejmsa0907130.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital volumeHeart failureMyocardial infarctionVolume thresholdRisk factorsAnnual hospital volumeHigh-volume hospitalsPatient risk factorsOdds of deathCommon medical conditionsAcute care hospitalsMedicare administrative claimsHierarchical logistic regression modelsCross-sectional analysisLogistic regression modelsCare hospitalHospital characteristicsReduced oddsMedical conditionsAdministrative claimsInfarctionPatientsPneumoniaService beneficiaries