Featured Publications
Relationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Krumholz HM, Lin Z, Keenan PS, Chen J, Ross JS, Drye EE, Bernheim SM, Wang Y, Bradley EH, Han LF, Normand SL. Relationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2013, 309: 587-593. PMID: 23403683, PMCID: PMC3621028, DOI: 10.1001/jama.2013.333.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesHospital risk-standardized mortality ratesHeart failureMyocardial infarctionHospital characteristicsMortality rateReadmission ratesProportion of hospitalsHospital readmissionMedicare feePneumoniaInfarctionService beneficiariesHospitalPatientsMedicaid ServicesHospital performanceSubgroupsFailureCauseReadmissionSignificant negative linear relationship
2023
Adjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions
Lipska K, Altaf F, Barthel A, Spatz E, Lin Z, Herrin J, Bernheim S, Drye E. Adjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions. JAMA Health Forum 2023, 4: e230081. PMID: 36897581, DOI: 10.1001/jamahealthforum.2023.0081.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsSocial risk factorsMedicare-Medicaid dual eligibilityRisk factorsChronic conditionsSocioeconomic status indexMeasure scoresAcute admissionsCohort studyDual eligibilityHealthcare ResearchDual-eligible patientsRetrospective cohort studyUnplanned hospital admissionsRisk of hospitalizationArea Health Resource FileService beneficiaries 65 yearsBeneficiaries 65 yearsRisk factor adjustmentStatus indexMedicare administrative claimsHospital admissionOutcome measuresAdministrative claimsMAIN OUTCOME
2022
Association of Initial SARS-CoV-2 Test Positivity With Patient-Reported Well-being 3 Months After a Symptomatic Illness
Wisk L, Gottlieb M, Spatz E, Yu H, Wang R, Slovis B, Saydah S, Plumb I, O’Laughlin K, Montoy J, McDonald S, Lin Z, Lin J, Koo K, Idris A, Huebinger R, Hill M, Gentile N, Chang A, Anderson J, Hota B, Venkatesh A, Weinstein R, Elmore J, Nichol G, Santangelo M, Ulrich A, Li S, Kinsman J, Krumholz H, Dorney J, Stephens K, Black K, Morse D, Morse S, Fernandes A, Sharma A, Stober T, Geyer R, Lyon V, Adams K, Willis M, Ruiz L, Park J, Malone K, Shughart H, Schaeffer K, Shughart L, Arab A, Grau D, Patel A, Watts P, Kelly M, Hunt A, Hannikainen P, Chalfin M, Cheng D, Miao J, Shutty C, Chavez S, Kane A, Marella P, Gallegos G, Martin K, L'Hommedieu M, Chandler C, Diaz Roldan K, Villegas N, Moreno R, Eguchi M, Rodriguez R, Kemball R, Chan V, Chavez C, Wong A, Hall A, Briggs-Hagen M. Association of Initial SARS-CoV-2 Test Positivity With Patient-Reported Well-being 3 Months After a Symptomatic Illness. JAMA Network Open 2022, 5: e2244486. PMID: 36454572, PMCID: PMC9716377, DOI: 10.1001/jamanetworkopen.2022.44486.Peer-Reviewed Original ResearchConceptsCOVID-19 positive groupCOVID-19-negative groupSARS-CoV-2 infectionCOVID-19 testCOVID-19 resultsSymptomatic illnessSymptomatic SARS-CoV-2 infectionNegative COVID-19 resultsSARS-CoV-2 statusSARS-CoV-2 test positivityPositive COVID-19 testSARS-CoV-2 testNegative COVID-19 testLongitudinal registry studyOutcomes Measurement Information SystemPatient-reported outcomesHealth care usePositive COVID-19 resultMultivariable regression analysisMeasurement Information SystemCOVID-19 testingNegative test resultsCohort studyRegistry studyPROMIS scores
2021
Suicide Deaths During the COVID-19 Stay-at-Home Advisory in Massachusetts, March to May 2020
Faust JS, Shah SB, Du C, Li SX, Lin Z, Krumholz HM. Suicide Deaths During the COVID-19 Stay-at-Home Advisory in Massachusetts, March to May 2020. JAMA Network Open 2021, 4: e2034273. PMID: 33475750, PMCID: PMC7821026, DOI: 10.1001/jamanetworkopen.2020.34273.Peer-Reviewed Original Research
2018
Defining Multiple Chronic Conditions for Quality Measurement
Drye EE, Altaf FK, Lipska KJ, Spatz ES, Montague JA, Bao H, Parzynski CS, Ross JS, Bernheim SM, Krumholz HM, Lin Z. Defining Multiple Chronic Conditions for Quality Measurement. Medical Care 2018, 56: 193-201. PMID: 29271820, DOI: 10.1097/mlr.0000000000000853.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsChronic conditionsMedicare feeService beneficiariesMedicare Chronic Conditions WarehouseMCC cohortBroad cohortChronic Conditions WarehouseRisk-standardized ratesNational quality measuresUnplanned admissionsFinal cohortTotal admissionsAdmission riskAccountable care organizationsAdmission ratesOutcome measuresAdmissionCohortCohort conditionCare organizationsPatientsStakeholder inputNarrow cohortBeneficiaries
2011
An Administrative Claims Measure Suitable for Profiling Hospital Performance Based on 30-Day All-Cause Readmission Rates Among Patients With Acute Myocardial Infarction
Krumholz HM, Lin Z, Drye EE, Desai MM, Han LF, Rapp MT, Mattera JA, Normand SL. An Administrative Claims Measure Suitable for Profiling Hospital Performance Based on 30-Day All-Cause Readmission Rates Among Patients With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2011, 4: 243-252. PMID: 21406673, PMCID: PMC3350811, DOI: 10.1161/circoutcomes.110.957498.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCohort StudiesFemaleHumansInsurance Claim ReviewLogistic ModelsMaleMedicareModels, StatisticalMyocardial InfarctionOutcome and Process Assessment, Health CareOutcome Assessment, Health CarePatient ReadmissionQuality of Health CareReproducibility of ResultsRisk FactorsTime FactorsUnited States