2020
Reporting of substance use treatment quality in United States adult drug courts
Joudrey PJ, Howell BA, Nyhan K, Moravej A, Doernberg M, Ross JS, Wang EA. Reporting of substance use treatment quality in United States adult drug courts. International Journal Of Drug Policy 2020, 90: 103050. PMID: 33310636, PMCID: PMC8046712, DOI: 10.1016/j.drugpo.2020.103050.Peer-Reviewed Original ResearchMeSH KeywordsAdultCriminal LawHumansPharmaceutical PreparationsRecidivismReproducibility of ResultsSubstance-Related DisordersUnited StatesConceptsService utilizationTreatment qualityTreatment quality measuresProcess evaluationRelated health outcomesSubstance use treatmentGrey literature searchSystematic grey literature searchMeasures of substanceTreatment outcomesHealth outcomesLiterature searchUse treatmentDrug courtsProcess measuresLow uptakePractice informationOutcomesDrug court programProgram graduationAdult drug courtsEvaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease
Wallach JD, Serghiou S, Chu L, Egilman AC, Vasiliou V, Ross JS, Ioannidis JPA. Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease. BMC Medical Research Methodology 2020, 20: 64. PMID: 32171256, PMCID: PMC7071725, DOI: 10.1186/s12874-020-0914-6.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingEpidemiologic StudiesHumansMyocardial IschemiaReproducibility of ResultsConceptsIschemic heart disease riskHeart disease riskObservational studyImpact of alcoholPotential confoundersHeart diseaseDisease riskMultivariate modelIschemic heart diseaseResidual confoundingDisease relationshipsEpidemiologic studiesAlcohol consumptionConfoundersMultivariate analysisLack of consensusIndividual studiesStratification variablesDiseaseRiskSame exposureConfoundingDifferent studiesStudy findingsDifferent investigators
2019
Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence
Bartlett VL, Dhruva SS, Shah ND, Ryan P, Ross JS. Feasibility of Using Real-World Data to Replicate Clinical Trial Evidence. JAMA Network Open 2019, 2: e1912869. PMID: 31596493, PMCID: PMC6802419, DOI: 10.1001/jamanetworkopen.2019.12869.Peer-Reviewed Original ResearchConceptsPrimary end pointClinical trialsReal-world evidenceEnd pointElectronic health recordsEHR dataExclusion criteriaClinical trial evidenceRandomized clinical trialsHigh-impact general medical journalsReal-world populationInsurance claimsTraditional clinical trialsCross-sectional analysisSame clinical questionPercentage of trialsPrimary outcomeClinical outcomesClinical evidenceTrial evidenceTrial populationTrial inclusionObservational studyAdministrative claimsMAIN OUTCOMEBiomarkers as Surrogate Endpoints: Ongoing Opportunities for Validation
Zhang AD, Ross JS. Biomarkers as Surrogate Endpoints: Ongoing Opportunities for Validation. The Journal Of Law, Medicine & Ethics 2019, 47: 393-395. PMID: 31560627, DOI: 10.1177/1073110519876170.Commentaries, Editorials and Letters
2016
Frequency and Importance of Incomplete Screening Fetal Anatomic Sonography in Pregnancy
Silvestri MT, Pettker CM, Raney JH, Xu X, Ross JS. Frequency and Importance of Incomplete Screening Fetal Anatomic Sonography in Pregnancy. Journal Of Ultrasound In Medicine 2016, 35: 2665-2673. PMID: 27821652, DOI: 10.7863/ultra.16.01084.Peer-Reviewed Original ResearchMeSH KeywordsAdultCohort StudiesCongenital AbnormalitiesFemaleHumansPregnancyReproducibility of ResultsRetrospective StudiesUltrasonography, PrenatalConceptsRepeat sonographyUltrasound examinationAbnormal fetal anatomyRepeat screeningFetal anatomyIncomplete visualizationLarge single-center studyMean gestational ageRetrospective cohort studySingle-center studyMean maternal ageMain outcome measuresProportion of womenCohort studySingleton pregnanciesWeeks' gestationGestational ageMaternal ageRepeat imagingUltrasound centersOutcome measuresSonographyAnatomic componentsWomenPregnancyRisk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations
Spatz ES, Lipska KJ, Dai Y, Bao H, Lin Z, Parzynski CS, Altaf FK, Joyce EK, Montague JA, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations. Medical Care 2016, 54: 528-537. PMID: 26918404, PMCID: PMC5356461, DOI: 10.1097/mlr.0000000000000518.Peer-Reviewed Original ResearchConceptsHeart failure measuresAccountable care organizationsAcute admission ratesHeart failureAdmission ratesNational ratesUnplanned hospital admissionsHeart failure cohortRisk-adjustment variablesPopulation-based measuresCare organizationsOutcome measure developmentIntraclass correlation coefficientHospital admissionDiabetes measuresFailure cohortChronic conditionsMedicare feeDiabetesService beneficiariesPatientsMeet criteriaMeasures of qualitySocioeconomic statusPerformance categories
2014
Reporting of Results in ClinicalTrials.gov and High-Impact Journals
Becker JE, Krumholz HM, Ben-Josef G, Ross JS. Reporting of Results in ClinicalTrials.gov and High-Impact Journals. JAMA 2014, 311: 1063-1065. PMID: 24618969, PMCID: PMC3979514, DOI: 10.1001/jama.2013.285634.Peer-Reviewed Original Research
1999
Mismeasurement and the Resonance of Strong Confounders: Correlated Errors
Marshall J, Hastrup J, Ross J. Mismeasurement and the Resonance of Strong Confounders: Correlated Errors. American Journal Of Epidemiology 1999, 150: 88-96. PMID: 10400558, DOI: 10.1093/oxfordjournals.aje.a009922.Peer-Reviewed Original Research