2023
Insurance-Based Disparities in Stroke Center Access in California: A Network Science Approach
Zachrison K, Hsia R, Schwamm L, Yan Z, Samuels-Kalow M, Reeves M, Camargo C, Onnela J. Insurance-Based Disparities in Stroke Center Access in California: A Network Science Approach. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009868. PMID: 37746725, PMCID: PMC10592016, DOI: 10.1161/circoutcomes.122.009868.Peer-Reviewed Original ResearchConceptsInsurance-based disparitiesStroke centersEmergency departmentHospital clustersInitial emergency departmentIschemic stroke admissionsHospital emergency departmentClusters of hospitalsLogistic regression modelsStroke admissionsUninsured patientsPatient insuranceLower oddsPatientsLess strokeCenter accessOddsCenter transferHospitalLikelihood of transferInsurance groupsRegression modelsLower proportionDepartmentAssociation
2022
Patient cost consciousness in the emergency department
Gaylor JM, Chan E, Parwani V, Ulrich A, Rothenberg C, Venkatesh A. Patient cost consciousness in the emergency department. The American Journal Of Emergency Medicine 2022, 61: 61-63. PMID: 36054987, DOI: 10.1016/j.ajem.2022.08.039.Peer-Reviewed Original ResearchConceptsEmergency departmentPocket costsED patientsLarge academic hospital systemAcademic hospital systemCertain patient demographicsEmergency department settingPerceptions of patientsCost of careMedicare/MedicaidPatient demographicsED careUnscheduled careUninsured patientsDepartment settingPatients' estimatesPatient's abilityEmergency careHigh school educationPatientsPrivate insuranceFinal analysisHospital systemCareConvenience sampleCharges for Initial Visits for Uninsured Patients at Musculoskeletal Urgent Care Centers in the US
Yousman LC, Hsiang WR, Khunte A, Najem M, Jin G, Mosier-Mills A, Jain S, Wiznia D. Charges for Initial Visits for Uninsured Patients at Musculoskeletal Urgent Care Centers in the US. JAMA Network Open 2022, 5: e229968. PMID: 35503219, PMCID: PMC9066286, DOI: 10.1001/jamanetworkopen.2022.9968.Peer-Reviewed Original ResearchConceptsNew patient visitsUrgent care centersUninsured patientsCare centerPatient visitsPocket chargesClinic policiesZip codesMedicaid reimbursementUrgent care center visitsState Medicaid expansion statusPatient office visitsMedicaid expansion statusMedian incomePrimary outcomeInitial visitMedicaid insuranceOffice visitsEmergency departmentUrgent careMAIN OUTCOMEUnderinsured patientsCenter visitsState Medicaid reimbursement ratesPatients
2021
Abrogation of survival disparity between insured and uninsured individuals after the USPSTF's 2012 prostate-specific antigen-based prostate cancer screening recommendation.
Kim I, Kim D, Kim S, Singer E, Jang T, Ghodoussipour S, Aron M, Kim I. Abrogation of survival disparity between insured and uninsured individuals after the USPSTF's 2012 prostate-specific antigen-based prostate cancer screening recommendation. Journal Of Clinical Oncology 2021, 39: 77-77. DOI: 10.1200/jco.2020.39.28_suppl.77.Peer-Reviewed Original ResearchProstate cancer-specific survivalU.S. Preventive Services Task ForceSurvival disparitiesUninsured patientsSocioeconomic quintileProstate cancerInsurance statusMarital statusWorse prostate cancer-specific survivalProstate cancer screening recommendationsCox proportional hazards modelDiagnostic time periodsCancer-specific survivalCancer screening recommendationsProportional hazards modelProstate-specific antigenScreening recommendationsSurvival outcomesInsured patientsWorse outcomesHazards modelPatientsBetter outcomesMedian household incomeUninsured individualsDisparity in utilization of multiagent therapy for acute promyelocytic leukemia (APL): A large National Cancer Database (NCDB) analysis.
Dhakal P, Lyden E, Gundabolu K, Zeidan A, Loh K, Fisher A, Bhatt V. Disparity in utilization of multiagent therapy for acute promyelocytic leukemia (APL): A large National Cancer Database (NCDB) analysis. Journal Of Clinical Oncology 2021, 39: 6587-6587. DOI: 10.1200/jco.2021.39.15_suppl.6587.Peer-Reviewed Original ResearchSingle-agent therapyAcute promyelocytic leukemiaCommunity cancer centerMultiagent therapyAgent therapyCancer CenterReal-world practiceUninsured patientsClinical trialsComprehensive community cancer centerNational Cancer Database AnalysisMultiple logistic regression analysisFindings highlight disparitiesLower comorbidity indexThird of patientsAcademic cancer centerAppropriateness of treatmentHealth system factorsAcute myeloid leukemiaLogistic regression analysisUnknown therapyComorbidity indexGreater comorbidityMultiagent chemotherapyOverall survivalInfluenza Vaccination Rates Among Patients With a History of Cancer: Analysis of the National Health Interview Survey
Chang A, Ellingson M, Flowers C, Bednarczyk R. Influenza Vaccination Rates Among Patients With a History of Cancer: Analysis of the National Health Interview Survey. Open Forum Infectious Diseases 2021, 8: ofab198. PMID: 34322565, PMCID: PMC8312520, DOI: 10.1093/ofid/ofab198.Peer-Reviewed Original ResearchNational Health Interview SurveyInfluenza vaccination ratesVaccination ratesHealth Interview SurveyHematological malignanciesSolid tumorsCancer typesAnnual influenza vaccinationInterview SurveySelf-reported cancerHistory of cancerYears of ageInfluenza vaccinationInfluenza vaccineVaccine complianceVaccine uptakeDifferent cancer typesUninsured patientsCancerDisease controlPatientsMalignancyCancer diagnosisTumorsDiagnosisAssociation of Medicare and Medicaid Insurance Status with Increased Spine Surgery Utilization Rates
Benton J, Weiss B, Mowrey W, Yassari N, Wang B, De La Garza Ramos R, Gelfand Y, Castro-Rivas E, Puthenpura V, Yassari R, Yanamadala V. Association of Medicare and Medicaid Insurance Status with Increased Spine Surgery Utilization Rates. Spine 2021, 46: e939-e944. PMID: 33496542, DOI: 10.1097/brs.0000000000003968.Peer-Reviewed Original ResearchConceptsInsurance statusSpine surgeryMedicaid patientsSpine careRetrospective single-institution studyPrivate insuranceLogistic regressionMedicaid insurance statusMultivariable logistic regressionSingle-institution studyMultivariate logistic regressionPatient insurance statusConsecutive outpatientsTreatment recommendationsUninsured patientsWorse outcomesBACKGROUND DATAInclusion criteriaPatient's conditionPatientsSurgerySpine surgeonsNeurosurgical clinicSignificant associationSpine interventionsImpact of insurance status on ICD implantation practice patterns: Insights from the NCDR ICD registry
Ahmed I, Merchant FM, Curtis JP, Parzynski CS, Lampert R. Impact of insurance status on ICD implantation practice patterns: Insights from the NCDR ICD registry. American Heart Journal 2021, 235: 44-53. PMID: 33503408, DOI: 10.1016/j.ahj.2021.01.016.Peer-Reviewed Original ResearchConceptsOptimal medical therapyInsurance statusNCDR ICD RegistryMedical therapyComplication rateICD RegistryUninsured patientsCardiac resynchronization therapy defibrillatorPrivate insurancePropensity-weighted analysisSingle-chamber devicesPrimary preventionMean ageICD implantsPractice patternsTreatment weightingImplantation practicePatientsInverse probabilityTherapyInsurance coverageFurther studiesRegistryMedicareStatus
2019
EPID-29. THE INFLUENCE OF SOCIOECONOMIC FACTORS AND CANCER CARE RECEIVED AT DIFFERENT FACILITIES ON OUTCOME IN PATIENTS WITH GLIOBLASTOMA
Li T, Patel P, Chou J, Patel A, Crispo S, Utate M, Kurz S. EPID-29. THE INFLUENCE OF SOCIOECONOMIC FACTORS AND CANCER CARE RECEIVED AT DIFFERENT FACILITIES ON OUTCOME IN PATIENTS WITH GLIOBLASTOMA. Neuro-Oncology 2019, 21: vi80-vi81. PMCID: PMC6847338, DOI: 10.1093/neuonc/noz175.329.Peer-Reviewed Original ResearchComprehensive cancer centerInsurance statusCancer careCity HospitalHealthcare system-related factorsNCI-designated Comprehensive Cancer CenterUtilization of healthcareSystem-related factorsInfluence of socioeconomic factorsYounger ageHealthcare disparitiesCare facilitiesSocial supportInfluence outcomesMedian overall survivalUninsured patientsMarital statusZip codesSocioeconomic factorsPatient informationSocioeconomic classCareMedian incomeRetrospective observational studyCancer CenterImproving Student Clinicians’ Documentation of Lifestyle Modification
Chen I, Jin D, Rifkin R, Chandrasekaran S, Leader A, Thomas D, Meah Y. Improving Student Clinicians’ Documentation of Lifestyle Modification. Journal Of Student-Run Clinics 2019, 5 DOI: 10.59586/jsrc.v5i1.52.Peer-Reviewed Original ResearchEast Harlem Health Outreach PartnershipStudent-run free clinicElectronic medical recordsIntervention 1Intervention 2Health goalsDocumentation ratesLifestyle modificationFree clinicBurden of chronic diseaseElectronic medical record templatesRates of documentationPatient characteristicsQuasi-experimental studyPeriod of interventionClinician documentationIcahn School of MedicineDocumented discussionClinical encountersPatient visitsUninsured patientsSchool of MedicineChronic diseasesGoal discussionsMedical recordsAssociation Between Insurance Status and Access to Hospital Care in Emergency Department Disposition
Venkatesh AK, Chou SC, Li SX, Choi J, Ross JS, D’Onofrio G, Krumholz HM, Dharmarajan K. Association Between Insurance Status and Access to Hospital Care in Emergency Department Disposition. JAMA Internal Medicine 2019, 179: 686-693. PMID: 30933243, PMCID: PMC6503571, DOI: 10.1001/jamainternmed.2019.0037.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsthmaCritical CareCross-Sectional StudiesDatabases, FactualEmergency Service, HospitalFemaleHealth Services AccessibilityHospitalizationHumansInsurance CoverageInsurance, HealthLung DiseasesMaleMedicaidMedically UninsuredMiddle AgedPatient DischargePatient TransferPneumoniaPulmonary Disease, Chronic ObstructiveUnited StatesConceptsNational Emergency Department SampleEmergency Department SampleCommon medical conditionsUninsured patientsCritical care capabilitiesED dischargeED visitsED transfersPulmonary diseaseCare capabilitiesInsurance statusHigher oddsMedicaid beneficiariesMedical conditionsChronic obstructive pulmonary diseaseAcute pulmonary diseaseEmergency department transfersAdult ED visitsHospital admission ratesObstructive pulmonary diseaseEmergency department dispositionPatient insurance statusPatient case mixHospital ownership statusIntensive care capabilities
2018
Insurance Status Biases Trauma-system Utilization and Appropriate Interfacility Transfer
Zogg CK, Schuster KM, Maung AA, Davis KA. Insurance Status Biases Trauma-system Utilization and Appropriate Interfacility Transfer. Annals Of Surgery 2018, 268: 681-689. PMID: 30004929, DOI: 10.1097/sla.0000000000002954.Peer-Reviewed Original ResearchConceptsNTC patientsMajor injuriesOlder adult trauma patientsNationwide Emergency Department SampleOptimal trauma careAdult trauma patientsEmergency department admissionsEmergency Department SampleTrauma center careTransfer of patientsComplex traumatic injuriesMultilevel logistic regressionTrauma patientsDepartment admissionsHigh morbidityTC careDirect admissionInsurance statusInterfacility transferUninsured patientsTrauma careTraumatic injuryOutcome measuresTrauma systemCenter careThe Early Impact of Medicaid Expansion on Uninsured Patients Undergoing Emergency General Surgery
Chiu AS, Jean RA, Ross JS, Pei KY. The Early Impact of Medicaid Expansion on Uninsured Patients Undergoing Emergency General Surgery. Journal Of Surgical Research 2018, 232: 217-226. PMID: 30463721, DOI: 10.1016/j.jss.2018.06.037.Peer-Reviewed Original ResearchConceptsEmergency general surgeryNational Inpatient SampleMedicaid expansionEGS patientsUninsured patientsGeneral surgeryPercentage of patientsCost burdenFederal poverty levelAffordable Care ActInpatient SampleInsurance typeMedicaid coveragePatientsInsurance coverageCare ActRepresentative estimatesSurgeryEGS operationsFirst yearEarly impactAdultsBurden
2017
Impact of the insurance type of head and neck cancer patients on their hospitalization utilization patterns
Gupta A, Sonis S, Schneider E, Villa A. Impact of the insurance type of head and neck cancer patients on their hospitalization utilization patterns. Cancer 2017, 124: 760-768. PMID: 29112234, DOI: 10.1002/cncr.31095.Peer-Reviewed Original ResearchConceptsHNC patientsHospital typeUninsured patientsInsurance typeMortality riskInsurance-related disparitiesInferior survival outcomesNationwide Inpatient SampleNeck cancer patientsLogistic regression modelsOptimum treatment outcomesMultinomial logistic regression modelsPatient agePoor outcomeSurvival outcomesPrimary exposureCancer patientsInpatient SampleHNC outcomesInpatient careTreatment outcomesHospital settingProvider typePatientsGovernment hospitalsContaining Prescription Drug Costs at a Resource-Limited, Student-Run Clinic for the Uninsured
Batra J, Xu H, Rifkin R, Wang A, Atteberry P, Thomas D, Meah Y. Containing Prescription Drug Costs at a Resource-Limited, Student-Run Clinic for the Uninsured. Journal Of Student-Run Clinics 2017, 3 DOI: 10.59586/jsrc.v3i1.59.Peer-Reviewed Original ResearchFree clinicImprove health care outcomesEvidence-basedHealth care outcomesStudent-run clinicsOut-of-pocket costsIncrease medication adherenceDrug costsDrug Assistance ProgramMedication to patientsCare outcomesPrescription drug costsPrescription drug coverageMedication adherenceClinical evidence-baseOutcome disparitiesSignificant financial burdenPrescription medicationsStudent-runUninsured patientsInsured counterpartsMedication copaymentsTesting suppliesCoverage programFinancial burdenInsurance status and patterns of late diagnosis and cancer treatment: A population-based study.
Lu-Yao G, He J, Giri V, Klassen A. Insurance status and patterns of late diagnosis and cancer treatment: A population-based study. Journal Of Clinical Oncology 2017, 35: e16553-e16553. DOI: 10.1200/jco.2017.35.15_suppl.e16553.Peer-Reviewed Original ResearchNon-Medicaid insurancePopulation-based studyLate diagnosisUninsured patientsLocalized cancerInsurance statusRadical prostatectomyDiagnosis periodEnd Results (SEER) databaseLocalized prostate cancerMarital statusProstate cancer patientsProstate cancer diagnosisLogistic regression modelsResults databaseRegional diseaseCancer patientsInsurance typeRelative riskMedicaid patientsProstate cancerPatientsAge 65Veterans AffairsPrivate insurance
2016
Implications of the Patient Protection and Affordable Care Act on Insurance Coverage and Rehabilitation Use Among Young Adult Trauma Patients.
Zogg CK, Payró Chew F, Scott JW, Wolf LL, Tsai TC, Najjar P, Olufajo OA, Schneider EB, Haut ER, Haider AH, Canner JK. Implications of the Patient Protection and Affordable Care Act on Insurance Coverage and Rehabilitation Use Among Young Adult Trauma Patients. JAMA Surgery 2016, 151: e163609. PMID: 27760245, DOI: 10.1001/jamasurg.2016.3609.Peer-Reviewed Original ResearchConceptsYoung adult trauma patientsDependent coverage provisionAdult trauma patientsAffordable Care ActTrauma patientsRehabilitation useInsurance coverageClinical end pointsPatient ProtectionCare ActCause of deathComplete patient recordsHigh-quality careEmergency departmentMean ageOutpatient settingUninsured patientsPatient outcomesRisk groupsPatientsRehabilitation accessACA implementationRescue ratesPatient recordsLongitudinal assessmentImpact of Insurance Status on Outcomes and Use of Rehabilitation Services in Acute Ischemic Stroke: Findings From Get With The Guidelines‐Stroke
Medford‐Davis L, Fonarow G, Bhatt D, Xu H, Smith E, Suter R, Peterson E, Xian Y, Matsouaka R, Schwamm L. Impact of Insurance Status on Outcomes and Use of Rehabilitation Services in Acute Ischemic Stroke: Findings From Get With The Guidelines‐Stroke. Journal Of The American Heart Association 2016, 5: e004282. PMID: 27930356, PMCID: PMC5210352, DOI: 10.1161/jaha.116.004282.Peer-Reviewed Original ResearchMeSH KeywordsAgedAmbulancesAnticholesteremic AgentsAntihypertensive AgentsBrain IschemiaDiabetes MellitusFemaleGuideline AdherenceHospital MortalityHumansHypercholesterolemiaHypertensionHypoglycemic AgentsInsurance CoverageInsurance, HealthLogistic ModelsMaleMedicaidMedically UninsuredMedicareMiddle AgedMultivariate AnalysisOdds RatioPractice Guidelines as TopicSkilled Nursing FacilitiesStrokeStroke RehabilitationTime FactorsUnited StatesConceptsAcute ischemic strokeIschemic strokeInsurance statusHospital mortalityGuidelines-Stroke programIschemic stroke patientsMultivariable logistic regressionPatient insurance statusGovernment-sponsored insuranceSkilled nursing facilitiesGuidelines-StrokeInpatient rehabPostdischarge destinationHospital outcomesPatient demographicsSymptom onsetAcute treatmentControl medicationDiabetes mellitusStroke patientsHospital characteristicsUninsured patientsHigh cholesterolNursing facilitiesPreventative careNational sociodemographic disparities in the treatment of high‐risk prostate cancer: Do academic cancer centers perform better than community cancer centers?
Mahal B, Chen Y, Muralidhar V, Mahal A, Choueiri T, Hoffman K, Hu J, Sweeney C, Yu J, Feng F, Kim S, Beard C, Martin N, Trinh Q, Nguyen P. National sociodemographic disparities in the treatment of high‐risk prostate cancer: Do academic cancer centers perform better than community cancer centers? Cancer 2016, 122: 3371-3377. PMID: 27434225, DOI: 10.1002/cncr.30205.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAgedBlack or African AmericanCancer Care FacilitiesCommunity Health ServicesDatabases, FactualDemographyFollow-Up StudiesHealthcare DisparitiesHispanic or LatinoHumansMaleMedically UninsuredNeoplasm GradingNeoplasm StagingPrognosisProstatic NeoplasmsQuality of Health CareRisk FactorsSocioeconomic FactorsUnited StatesWhite PeopleConceptsHigh-risk prostate cancerCommunity cancer centerProstate cancerAcademic cancer centerCancer CenterDefinitive therapyTreatment delayTreatment of high-risk prostate cancerAcademic centersNational Cancer Data BaseMultivariate Cox regression analysisSociodemographic disparitiesHigh-risk cancerCancer treatment patternsMultivariate Cox regressionTiming of therapyCox regression analysisMultivariate logistic analysisTreatment disparitiesCommunity centersExperience treatment delaysUninsured patientsTreatment patternsGray's testCox regression
2014
The Severity of Disparity: Increasing Injury Intensity Accentuates Disparate Outcomes Following Trauma
Losonczy L, Weygandt P, Villegas C, Hall E, Schneider E, Cooper L, Cornwell E, Haut E, Efron D, Haider A. The Severity of Disparity: Increasing Injury Intensity Accentuates Disparate Outcomes Following Trauma. Journal Of Health Care For The Poor And Underserved 2014, 25: 308-320. PMID: 24509028, PMCID: PMC6017993, DOI: 10.1353/hpu.2014.0021.Peer-Reviewed Original ResearchConceptsOdds of deathInjury severityGlasgow Coma Scale motor componentPatients meeting inclusion criteriaNational Trauma Data BankInjury Severity ScoreMechanism of injuryTrauma Data BankMeeting inclusion criteriaInsurance groupsRace/ethnicityHypotensive patientsTrauma mortalityBlack patientsHispanic patientsSeverity scoreUninsured patientsInclusion criteriaPatientsSevere injuriesLogistic regressionInjury intensityInjuryInsurance coverageSeverity
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