2016
Hospital Variation in the Practice of Bilateral Salpingectomy With Ovarian Conservation in 2012
Xu X, Desai VB. Hospital Variation in the Practice of Bilateral Salpingectomy With Ovarian Conservation in 2012. Obstetrics And Gynecology 2016, 127: 297-305. PMID: 26942357, DOI: 10.1097/aog.0000000000001203.Peer-Reviewed Original ResearchConceptsLow-risk womenBilateral salpingectomyLow-risk patientsOvarian conservationBenign hysterectomyHospital variationOvarian cancerAdult womenNational Inpatient SampleCross-sectional studyMultivariable regression analysisOvarian surgeryHighest tertileWhite patientsInpatient SampleSalpingectomyHysterectomyHospital's likelihoodLower riskHospital practiceHospitalPatientsWomenHospitalizationTertile
2014
“Phenotyping” Hospital Value of Care for Patients with Heart Failure
Xu X, Li S, Lin H, Normand S, Kim N, Ott LS, Lagu T, Duan M, Kroch EA, Krumholz HM. “Phenotyping” Hospital Value of Care for Patients with Heart Failure. Health Services Research 2014, 49: 2000-2016. PMID: 24974769, PMCID: PMC4254136, DOI: 10.1111/1475-6773.12197.Peer-Reviewed Original ResearchConceptsLower mortalityHeart failureHeart failure hospitalizationHospital mortality rateLonger hospital stayIntensive care unitDistinct joint trajectoriesValue of careFailure hospitalizationHospital stayCare unitClinical outcomesGroup of hospitalsHospital characteristicsHospital careHospital patternsSurgical proceduresMultinomial logistic regressionMortality rateHigh mortalityHospitalHospitalizationMortalityLogistic regressionHospital Value
2012
Does health insurance reduce illness-related worker absenteeism?
Xu X, Jensen G. Does health insurance reduce illness-related worker absenteeism? Applied Economics 2012, 44: 4591-4603. DOI: 10.1080/00036846.2011.593498.Peer-Reviewed Original ResearchIllness-related absenteeismHealth insuranceWork daysPoorer baseline healthBinary logistic regressionLonger hospitalizationBaseline healthLong-term effectsWorker absenteeismLogistic regressionNumber of daysTerm effectsIllnessRetirement StudyUninsured workersDaysRepresentative sampleAbsenteeismNew diseaseHealthInsuranceOlder workersHospitalizationStrong evidenceWorkers