2022
464 Hospital Frailty Risk Score and Healthcare Resource Utilization After Surgery for Metastatic Spinal Column Tumors
Elsamadicy A, Koo A, Reeves B, Pennington Z, Yu J, Goodwin C, Kolb L, Laurans M, Lo S, Shin J, Sciubba D. 464 Hospital Frailty Risk Score and Healthcare Resource Utilization After Surgery for Metastatic Spinal Column Tumors. Neurosurgery 2022, 68: 113-113. DOI: 10.1227/neu.0000000000001880_464.Peer-Reviewed Original ResearchHospital Frailty Risk ScoreNon-routine dischargeFrailty Risk ScoreSpinal column tumorsPatient populationRisk scoreLarge national database studyNational Inpatient Sample databaseMultivariate logistic regression analysisICD-10 diagnostic codesProlonged hospital LOSImpact of frailtyNational database studyHealthcare resource utilizationRetrospective cohort studyTotal hospital costsProcedural Coding SystemLogistic regression analysisRegression analysisMultivariate regression analysisHospital LOSCohort studyHospital admissionIndependent predictorsLonger LOS
2020
Temporal trends in opioid prescribing patterns among oncologists in the Medicare population.
Jairam V, Yang D, Pasha S, Soulos P, Gross C, Yu J, Park H. Temporal trends in opioid prescribing patterns among oncologists in the Medicare population. Journal Of Clinical Oncology 2020, 38: 12022-12022. DOI: 10.1200/jco.2020.38.15_suppl.12022.Peer-Reviewed Original ResearchOpioid prescribing ratesOpioid prescribingPrescribing ratesUnited States opioid epidemicNon-cancer populationMultivariable negative binomial regressionFinal study sampleSymptom managementOpioid claimsPatient populationOpioid epidemicMedicare patientsProvider characteristicsMedicare populationPatient countsOncologistsNegative binomial regressionPrescribingPatientsStudy sampleBinomial regressionSignificant declinePopulationStatewide levelTemporal trends
2012
The influence of physician densities and patient characteristics on the decision to treat prostate cancer patients with varying clinical benefit.
Yu J, Aneja S, Makarov D, Roberts K, Gross C. The influence of physician densities and patient characteristics on the decision to treat prostate cancer patients with varying clinical benefit. Journal Of Clinical Oncology 2012, 30: 19-19. DOI: 10.1200/jco.2012.30.5_suppl.19.Peer-Reviewed Original ResearchHealth system factorsHealth service areasCurative therapyUrologist densityClinical benefitProstate cancerRadiation oncologistsPhysician densitySystem factorsRadiation oncologist densityEnd Results (SEER) databaseLower likelihoodReceipt of treatmentMarital statusProstate cancer patientsHigher likelihoodLogistic regression modelsArea Resource FilePatient characteristicsPatient factorsInitial treatmentResults databasePatient populationCancer patientsProper therapy