2022
Associations between hospitalist physician workload, length of stay, and return to the hospital
Djulbegovic M, Chen K, Cohen AB, Heacock D, Canavan M, Cushing W, Agarwal R, Simonov M, Chaudhry SI. Associations between hospitalist physician workload, length of stay, and return to the hospital. Journal Of Hospital Medicine 2022, 17: 445-455. PMID: 35662410, PMCID: PMC9248905, DOI: 10.1002/jhm.12847.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedFemaleHospitalistsHospitalsHumansLength of StayMaleMiddle AgedPatient ReadmissionRetrospective StudiesWorkloadConceptsLength of stayEmergency departmentPhysician workloadYale-New Haven HospitalMedian patient ageSeverity of illnessElectronic health record dataNumber of patientsHealth record dataWeekend admissionHospital daysPatient ageClinical outcomesObservational studyHospitalist serviceMAIN OUTCOMEPatient complexityHospitalist workloadSociodemographic factorsPatient encountersPatientsLogistic regressionMultilevel PoissonRecord dataOutcomes
2021
180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Ouellet G, Sybrant D, Gill TM, Chaudhry SI. 180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study. Open Heart 2021, 8: e001442. PMID: 33452007, PMCID: PMC7813425, DOI: 10.1136/openhrt-2020-001442.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionReadmission risk modelSelf-reported health statusMyocardial infarctionFunctional mobilityOlder adultsHealth statusDays of AMIFirst diastolic blood pressureChronic obstructive pulmonary diseaseIschemic ECG changesProspective cohort studyDiastolic blood pressureObstructive pulmonary diseaseLength of stayInitial heart rateFinal risk modelSILVER-AMI StudyRisk modelInitial hemoglobinCohort studyReadmission ratesBlood pressureEjection fractionHeart failure
2019
Patient-Reported Quality of Hospital Discharge Transitions: Results from the SILVER-AMI Study
Richards BG, Hajduk AM, Perry J, Krumholz HM, Khan AM, Chaudhry SI. Patient-Reported Quality of Hospital Discharge Transitions: Results from the SILVER-AMI Study. Journal Of General Internal Medicine 2019, 35: 808-814. PMID: 31654359, PMCID: PMC7080904, DOI: 10.1007/s11606-019-05414-8.Peer-Reviewed Original ResearchConceptsDays of dischargeEmergency department utilizationAcute myocardial infarctionPatient-reported qualityHospital discharge processOlder patientsAcute Myocardial Infarction StudyMyocardial Infarction StudyProspective cohort studyMedical record reviewEmergency room utilizationAdults age 75Key ResultsA totalHospital Consumer AssessmentSILVER-AMI StudyHospital discharge transitionsHigh-risk periodDesignMulti-centerCohort studyHospital dischargeMedian ageClinical outcomesRecord reviewAdverse outcomesResultsA totalMapping the care transition from hospital to skilled nursing facility
Britton M, Petersen‐Pickett J, Hodshon B, Chaudhry SI. Mapping the care transition from hospital to skilled nursing facility. Journal Of Evaluation In Clinical Practice 2019, 26: 786-790. PMID: 31309664, PMCID: PMC6962572, DOI: 10.1111/jep.13238.Peer-Reviewed Original ResearchMeSH KeywordsHospitalsHumansPatient DischargePatient ReadmissionPatient TransferSkilled Nursing FacilitiesUnited StatesConceptsSkilled nursing facilitiesHospital dischargeCare teamSNF admissionFunctional statusCare transitionsNursing facilitiesLocal skilled nursing facilityPost-acute care utilizationUnplanned hospital readmissionPatients' functional statusPatient care transitionsAcademic medical centerPhysical therapy servicesPatient care settingsQuality improvement teamAdverse eventsHospital readmissionPatient dispositionCare utilizationCare settingsMedical CenterQI interventionsCare managementTherapy servicesThirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Goldstein D, Forman DE, Alexander KP, Gill TM, Chaudhry SI. Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005320. PMID: 31010300, PMCID: PMC6481309, DOI: 10.1161/circoutcomes.118.005320.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overFemaleGeriatric AssessmentHealth Status IndicatorsHumansMaleMyocardial InfarctionPatient AdmissionPatient ReadmissionPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionReadmission risk modelFinal risk modelFunctional mobilityFunctional impairmentMyocardial infarctionOlder adultsFirst diastolic blood pressureChronic obstructive pulmonary diseaseAge-related functional impairmentsP2Y12 inhibitor useAcute kidney injuryDaily living (ADL) disabilityPatient-level factorsProspective cohort studyDiastolic blood pressureObstructive pulmonary diseasePatients of ageGeneral health statusStrongest predictorRisk modelMore comorbiditiesCause readmissionKidney injuryCohort studyHospital Readmission From Skilled Nursing Facilities (SNFs): Perspectives of Hospital and SNF Providers
Minges KE, Campbell Britton M, Clark BW, Ouellet GM, Hodshon B, Chaudhry SI. Hospital Readmission From Skilled Nursing Facilities (SNFs): Perspectives of Hospital and SNF Providers. Journal Of The American Medical Directors Association 2019, 20: 1050-1051. PMID: 31043356, DOI: 10.1016/j.jamda.2019.03.005.Peer-Reviewed Original Research
2017
Care Transitions Between Hospitals and Skilled Nursing Facilities: Perspectives of Sending and Receiving Providers
Britton MC, Ouellet GM, Minges KE, Gawel M, Hodshon B, Chaudhry SI. Care Transitions Between Hospitals and Skilled Nursing Facilities: Perspectives of Sending and Receiving Providers. The Joint Commission Journal On Quality And Patient Safety 2017, 43: 565-572. PMID: 29056176, PMCID: PMC5693352, DOI: 10.1016/j.jcjq.2017.06.004.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAttitude of Health PersonnelCommunicationHospital AdministrationHumansInsurance, Health, ReimbursementInterviews as TopicPatient DischargePatient ReadmissionPatient TransferQualitative ResearchQuality ImprovementRisk FactorsSeverity of Illness IndexSkilled Nursing FacilitiesUnited StatesConceptsSkilled nursing facilitiesCare transitionsNursing facilitiesSNF providersPatient-level risk factorsOptimal care settingAcute medical illnessUnplanned hospital readmissionComprehensive care planCost of careHospital readmissionMedical illnessComplex patientsRisk factorsMedicare patientsCare settingsCare plansPatient complexityHealth care institutionsPatient transferPsychosocial issuesHospitalPatientsSeparate hospitalsCare institutionsPerspectives of Clinicians at Skilled Nursing Facilities on 30‐Day Hospital Readmissions: A Qualitative Study
Clark B, Baron K, Tynan‐McKiernan K, Britton M, Minges K, Chaudhry S. Perspectives of Clinicians at Skilled Nursing Facilities on 30‐Day Hospital Readmissions: A Qualitative Study. Journal Of Hospital Medicine 2017, 12: 632-638. PMID: 28786429, DOI: 10.12788/jhm.2785.Peer-Reviewed Original ResearchConceptsSkilled nursing facilitiesSNF cliniciansPerspectives of cliniciansInpatient general medicine servicesHospital dischargeHospital readmissionNursing facilitiesSingle tertiary care hospitalCauses of readmissionTertiary care hospitalGoals of careGeneral medicine serviceAcute care hospitalsHospital-based cliniciansIndex admissionUnplanned readmissionAcute illnessCare hospitalStructured interview toolEmergency departmentPatient riskReadmissionPatient readmissionMedicine serviceHospital quality
2016
New Approaches to Reduce Readmissions in Patients With Heart Failure
Dharmarajan K, Chaudhry SI. New Approaches to Reduce Readmissions in Patients With Heart Failure. JAMA Internal Medicine 2016, 176: 318. PMID: 26857025, DOI: 10.1001/jamainternmed.2015.7993.Commentaries, Editorials and LettersSlow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry
Dodson JA, Arnold SV, Gosch KL, Gill TM, Spertus JA, Krumholz HM, Rich MW, Chaudhry SI, Forman DE, Masoudi FA, Alexander KP. Slow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry. Journal Of The American Geriatrics Society 2016, 64: 596-601. PMID: 26926309, PMCID: PMC4803531, DOI: 10.1111/jgs.14016.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionSlow gaitHospital readmissionGait speedOlder adultsCox proportional hazards regressionMarker of frailtySlow gait speedTranslational researchProportional hazards regressionOutcomes 1 yearRisk of mortalityAssessment 1 monthBaseline characteristicsObservational cohortClinical factorsDiabetes mellitusHeart failureHazards regressionPrognostic importancePrognostic valueHigh prevalenceInfarctionReadmission
2015
Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScoresSymptom Burden Among Patients Who Were Hospitalized for Heart Failure
Khan RF, Feder S, Goldstein NE, Chaudhry SI. Symptom Burden Among Patients Who Were Hospitalized for Heart Failure. JAMA Internal Medicine 2015, 175: 1713-1715. PMID: 26280896, DOI: 10.1001/jamainternmed.2015.3871.Peer-Reviewed Original ResearchRacial Differences in Heart Failure Outcomes Evidence From the Tele-HF Trial (Telemonitoring to Improve Heart Failure Outcomes)
Qian F, Parzynski CS, Chaudhry SI, Hannan EL, Shaw BA, Spertus JA, Krumholz HM. Racial Differences in Heart Failure Outcomes Evidence From the Tele-HF Trial (Telemonitoring to Improve Heart Failure Outcomes). JACC Heart Failure 2015, 3: 531-538. PMID: 26160368, PMCID: PMC8635169, DOI: 10.1016/j.jchf.2015.03.005.Peer-Reviewed Original ResearchConceptsPatient-reported health statusKansas City Cardiomyopathy QuestionnaireHeart failureBlack patientsHealth statusHF hospitalizationRacial differencesBaseline KCCQ scoresClinical laboratory valuesPatient-reported outcomesSignificant racial differencesKCCQ scoresHF admissionsPatient demographicsWhite patientsLaboratory valuesPropensity score methodsPatientsHospitalizationOutcome evidenceMonthsLinear mixed modelsBaselineTrialsStatusAssociation of Discharge Summary Quality With Readmission Risk for Patients Hospitalized With Heart Failure Exacerbation
Salim Al-Damluji M, Dzara K, Hodshon B, Punnanithinont N, Krumholz HM, Chaudhry SI, Horwitz LI. Association of Discharge Summary Quality With Readmission Risk for Patients Hospitalized With Heart Failure Exacerbation. Circulation Cardiovascular Quality And Outcomes 2015, 8: 109-111. PMID: 25587092, PMCID: PMC4303529, DOI: 10.1161/circoutcomes.114.001476.Peer-Reviewed Original Research
2014
Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study
Dodson JA, Geda M, Krumholz HM, Lorenze N, Murphy TE, Allore HG, Charpentier P, Tsang SW, Acampora D, Tinetti ME, Gill TM, Chaudhry SI. Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study. BMC Health Services Research 2014, 14: 506. PMID: 25370536, PMCID: PMC4239317, DOI: 10.1186/s12913-014-0506-4.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHealth status declineOlder patientsRisk factorsGeriatric impairmentsHospital readmissionOlder adultsDetailed medical record abstractionStatus declineDiagnostic study resultsPost-AMI outcomesProportion of patientsProspective cohort studyMedical record abstractionAMI studyHealth status measuresClinical characteristicsCohort studyRecord abstractionAdverse outcomesMyocardial infarctionAcademic hospitalHospital assessmentMultivariable regressionStatus measuresPlace of Residence and Outcomes of Patients With Heart Failure
Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK, Krumholz HM. Place of Residence and Outcomes of Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2014, 7: 749-756. PMID: 25074375, PMCID: PMC5323058, DOI: 10.1161/circoutcomes.113.000911.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusIndividual socioeconomic statusOutcomes of patientsHeart failureHigher SES neighborhoodsSocioeconomic statusClinical factorsHeart Failure Outcomes trialPrimary end pointPatient-level factorsUS internal medicineCause mortalityCause readmissionMultivariable adjustmentOutcome trialsMedical chartsPatient interviewsLow-SES neighborhoodsCardiology practiceMortality ratePatientsPlace of residenceInternal medicineReadmissionEnd point
2010
Telemonitoring in Patients with Heart Failure
Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM. Telemonitoring in Patients with Heart Failure. New England Journal Of Medicine 2010, 363: 2301-2309. PMID: 21080835, PMCID: PMC3237394, DOI: 10.1056/nejmoa1010029.Peer-Reviewed Original ResearchConceptsPrimary end pointUsual care groupSecondary end pointsHeart failureEnd pointHeart failure outcomesNumber of hospitalizationsTelephone-based interactive voice response systemUsual careAdverse eventsPatient's clinicianMedian ageCare groupLarge trialsInteractive voice response systemPatientsSmall studyVoice response systemNumber of daysHospitalizationReadmissionTelemonitoringSignificant differencesCliniciansDeath