2019
Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
Riley C, Roy B, Herrin J, Spatz E, Silvestri MT, Arora A, Kell KP, Rula EY, Krumholz HM. Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study. BMJ Open 2019, 9: e024143. PMID: 31048427, PMCID: PMC6501974, DOI: 10.1136/bmjopen-2018-024143.Peer-Reviewed Original ResearchConceptsPreterm birthCross-sectional studyIndividual risk factorsPreterm deliveryRisk factorsPregnant womenLower riskMaternal risk factorsPrimary outcome measurePrimary independent variableGestational ageMaternal riskOutcome measuresUS birthsHealth StatisticsBirth dataBeing IndexWomenBirthGallup-Sharecare WellLower ratesQuintileRiskDeliveryPopulation
2017
Regional Medicare Expenditures and Survival Among Older Women With Localized Breast Cancer
Tannenbaum S, Soulos PR, Herrin J, Mougalian S, Long JB, Wang R, Ma X, Gross CP, Xu X. Regional Medicare Expenditures and Survival Among Older Women With Localized Breast Cancer. Medical Care 2017, 55: 1030-1038. PMID: 29068906, PMCID: PMC5863278, DOI: 10.1097/mlr.0000000000000822.Peer-Reviewed Original ResearchConceptsBreast cancer careHospital referral regionsNonmetastatic breast cancerBreast cancerCancer careMedicare beneficiariesMedicare expendituresCancer expendituresBetter survivalEnd Results-MedicareRetrospective cohort studyPatients 3 yearsClinical characteristicsCohort studyOverall survivalCancer stagePatient outcomesOutcome measuresReferral regionsOlder womenSignificant associationStage IIBivariate analysisCancerQuintile
2015
The Role of Patient Factors, Cancer Characteristics, and Treatment Patterns in the Cost of Care for Medicare Beneficiaries with Breast Cancer
Xu X, Herrin J, Soulos PR, Saraf A, Roberts KB, Killelea BK, Wang SY, Long JB, Wang R, Ma X, Gross CP. The Role of Patient Factors, Cancer Characteristics, and Treatment Patterns in the Cost of Care for Medicare Beneficiaries with Breast Cancer. Health Services Research 2015, 51: 167-186. PMID: 26119176, PMCID: PMC4722219, DOI: 10.1111/1475-6773.12328.Peer-Reviewed Original ResearchConceptsBreast cancer careHospital referral regionsCancer careMedicare expendituresBreast cancerRadiation therapyTreatment factorsMean Medicare expendituresEnd Results-MedicareSpecific treatment modalitiesContribution of patientCost of careHighest spending quintilePatient factorsTreatment patternsTumor characteristicsCancer characteristicsTreatment modalitiesReferral regionsMedicare beneficiariesQuintilePatientsCancerCareTherapyAssociation of hospital volume with readmission rates: a retrospective cross-sectional study
Horwitz LI, Lin Z, Herrin J, Bernheim S, Drye EE, Krumholz HM, Hines HJ, Ross JS. Association of hospital volume with readmission rates: a retrospective cross-sectional study. The BMJ 2015, 350: h447. PMID: 25665806, PMCID: PMC4353286, DOI: 10.1136/bmj.h447.Peer-Reviewed Original ResearchConceptsReadmission ratesHospital volumeRetrospective cross-sectional studyUS acute care hospitalsHospital readmission ratesAcute care hospitalsCross-sectional studyMedical cancer treatmentCare hospitalAdult dischargesHospital characteristicsMedicare feeCancer treatmentHospitalAssociationDaysService dataPatientsCardiovascularGynecologyQuintileNeurology