2022
Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease
Nguyen N, Patel S, Gabunilas J, Qian A, Cecil A, Jairath V, Sandborn W, Ohno-Machado L, Chen P, Singh S. Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease. Clinical And Translational Gastroenterology 2022, 13: e00507. PMID: 35905414, PMCID: PMC10476830, DOI: 10.14309/ctg.0000000000000507.Peer-Reviewed Original ResearchMeSH KeywordsAdultChronic DiseaseHospitalizationHumansInflammatory Bowel DiseasesMachine LearningRetrospective StudiesRisk FactorsConceptsInflammatory bowel diseaseUnplanned healthcare utilizationAdult patientsBowel diseaseHealthcare utilizationHealthcare costsLogistic regressionRetrospective cohort studyNationwide Readmissions DatabaseIdentification of patientsAdministrative claims dataHigh-cost patientsHNHC patientsCohort studyHospitalized patientsClaims dataHigh riskPatientsTraditional logistic regressionDerivation dataMean AUCIBDMean areaCharacteristic curveDisease
2020
National Estimates of Financial Hardship From Medical Bills and Cost-related Medication Nonadherence in Patients With Inflammatory Bowel Diseases in the United States
Nguyen NH, Khera R, Dulai PS, Boland BS, Ohno-Machado L, Sandborn WJ, Singh S. National Estimates of Financial Hardship From Medical Bills and Cost-related Medication Nonadherence in Patients With Inflammatory Bowel Diseases in the United States. Inflammatory Bowel Diseases 2020, 27: 1068-1078. PMID: 33051681, PMCID: PMC8205631, DOI: 10.1093/ibd/izaa266.Peer-Reviewed Original ResearchConceptsCost-related medication nonadherenceInflammatory bowel diseaseBowel diseaseMedication nonadherenceFinancial toxicityMedical billsSelf-reported inflammatory bowel diseaseSubstantial health care needsUnplanned health care utilizationNational estimatesNational Health Interview SurveyHigh ED utilizationEmergency department utilizationHealth care utilizationHealth Interview SurveyTimes higher oddsHealth care needsCost-reducing behaviorsFinancial hardshipValue-based careED utilizationCare utilizationNational burdenHigher oddsHealth care affordabilityBurden and Outcomes of Fragmentation of Care in Hospitalized Patients With Inflammatory Bowel Diseases: A Nationally Representative Cohort
Nguyen N, Luo J, Ohno-Machado L, Sandborn W, Singh S. Burden and Outcomes of Fragmentation of Care in Hospitalized Patients With Inflammatory Bowel Diseases: A Nationally Representative Cohort. Inflammatory Bowel Diseases 2020, 27: 1026-1034. PMID: 32944753, PMCID: PMC8205632, DOI: 10.1093/ibd/izaa238.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseFragmentation of careHigh riskCohort studyBowel diseaseNationwide Readmissions Database 2013Nationally Representative CohortUS cohort studyRisk of surgeryNumber of patientsRepresentative cohort studyHealth care qualityHospital mortalityHospitalized patientsCohort 2Outpatient careChronic diseasesCohort 1Representative cohortPatientsSingle episodeReadmissionHospitalizationCare qualityCare