2021
Digital Health Technologies for Remote Monitoring and Management of Inflammatory Bowel Disease: A Systematic Review
Nguyen N, Martinez I, Atreja A, Sitapati A, Sandborn W, Ohno-Machado L, Singh S. Digital Health Technologies for Remote Monitoring and Management of Inflammatory Bowel Disease: A Systematic Review. The American Journal Of Gastroenterology 2021, 117: 78-97. PMID: 34751673, PMCID: PMC8987011, DOI: 10.14309/ajg.0000000000001545.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsInflammatory bowel diseaseHealth care utilizationDigital health interventionsRisk of relapseCare utilizationTreatment adherenceHealth interventionsDigital health technologiesSystematic reviewDisease activityBowel diseaseHealth technologiesOverall disease activityDisease activity monitoringManagement of patientsCertainty of evidenceIBD disease activityStandard of careWeb-based interventionHealth care costsPopulation health managementValue-based careRecommendations AssessmentPatients' QoLClinical management
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 affordability
2003
Efficient Bayesian Sample Size Calculation for Designing a Clinical Trial with Multi‐Cluster Outcome Data
Zou K, Resnic F, Gogate A, Ondategui‐Parra S, Ohno‐Machado L. Efficient Bayesian Sample Size Calculation for Designing a Clinical Trial with Multi‐Cluster Outcome Data. Biometrical Journal 2003, 45: 826-836. DOI: 10.1002/bimj.200390052.Peer-Reviewed Original ResearchBayesian methodsSample size calculation methodBeta prior distributionBeta-binomial modelBayesian beta-binomial modelBayesian sample size calculationsPrior distributionSample size calculationNecessary sample sizePosterior intervalsHierarchical data structureMain outcome eventPercutaneous coronary interventionHealth care utilizationLength criterionSize calculationCoronary interventionCare utilizationMajor complicationsClinical trialsOutcome eventsOutcome dataOutcome studiesCalculation methodHealth providers