2020
Unanticipated Uterine and Cervical Malignancy in Women Undergoing Hysterectomy for Uterovaginal Prolapse.
Andiman SE, Bui AH, Hardart A, Xu X. Unanticipated Uterine and Cervical Malignancy in Women Undergoing Hysterectomy for Uterovaginal Prolapse. Urogynecology 2020, 27: e549-e554. PMID: 33208657, DOI: 10.1097/spv.0000000000000990.Peer-Reviewed Original ResearchConceptsMultivariable logistic regressionUterovaginal prolapseUterine cancerCervical cancerSurgeons National Surgical Quality Improvement ProgramNational Surgical Quality Improvement ProgramSurgical Quality Improvement ProgramLogistic regressionUnexpected uterine malignancyQuality Improvement ProgramSample eligibility criteriaPathology-confirmed diagnosisUterine malignanciesRadical hysterectomyTotal hysterectomyPatient characteristicsUterine weightCervical malignancyGynecologic cancerOutcome measuresHysterectomyAmerican CollegeEligibility criteriaBivariate statistical testsConcurrent procedures
2019
Low‐Interventional Approaches to Intrapartum Care: Hospital Variation in Practice and Associated Factors
Lundsberg LS, Main EK, Lee HC, Lin H, Illuzzi JL, Xu X. Low‐Interventional Approaches to Intrapartum Care: Hospital Variation in Practice and Associated Factors. Journal Of Midwifery & Women's Health 2019, 65: 33-44. PMID: 31502407, DOI: 10.1111/jmwh.13017.Peer-Reviewed Original ResearchConceptsIntrapartum careMultivariable logistic regressionHigh intervention groupLow-intervention groupMedical-legal concernsIntrapartum practicesNewborn morbidityHospital variationCesarean birthAssociated FactorsPatient outcomesInterventional approachesProcedure ratesAmerican CollegeHospital useHospital's likelihoodHospital groupHospitalBivariate analysisLogistic regressionMidwifery modelCalifornia hospitalsCareLatent class analysisHospital culture
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