2024
Medical Devices Applying for Outpatient Medicare Supplemental Payments
Moneer O, Johnston J, Rathi V, Ross J, Dhruva S. Medical Devices Applying for Outpatient Medicare Supplemental Payments. JAMA Health Forum 2024, 5: e244016. PMID: 39546305, PMCID: PMC11568453, DOI: 10.1001/jamahealthforum.2024.4016.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesMedicare beneficiariesUS Centers for Medicare & Medicaid ServicesCross-sectional studyCross-sectional analysisPatient demographic characteristicsClinical decision-makingMedicaid ServicesMain OutcomesHispanic patientsClinical evidence requirementsPremarket clinical studyOutpatient settingOutpatient paymentsTraditional pathwaysMedicareSupplemental paymentsFiscal yearTransitional pass-through paymentsReimbursementDemographic dataEffectiveness end pointPathway applicationClinical studiesAuthorization pathwaysDirect oral anticoagulant approvals by four major regulatory agencies: a cross-sectional analysis of premarket and postmarket evidence
Mooghali M, Zhou T, Ross J. Direct oral anticoagulant approvals by four major regulatory agencies: a cross-sectional analysis of premarket and postmarket evidence. BMJ Open 2024, 14: e090376. PMID: 39461853, PMCID: PMC11529451, DOI: 10.1136/bmjopen-2024-090376.Peer-Reviewed Original ResearchConceptsPhase 2 trialPhase 3 trialBox warningAtrial fibrillation patientsPostmarketing evidenceEvidence of safetyOral anticoagulantsFibrillation patientsPostmarketing studiesCross-sectional analysisDegree of concordanceStroke preventionStudy requirementsPostmarketingEfficacy evidenceRegulatory agenciesDrugPostmarketing requirementsInterpretation of resultsEfficacyHealth CanadaSample sizeSafety evidenceConcordanceEndpointClass I Recalls of Cardiovascular Devices Between 2013 and 2022 : A Cross-Sectional Analysis.
See C, Mooghali M, Dhruva S, Ross J, Krumholz H, Kadakia K. Class I Recalls of Cardiovascular Devices Between 2013 and 2022 : A Cross-Sectional Analysis. Annals Of Internal Medicine 2024, 177: 1499-1508. PMID: 39284187, DOI: 10.7326/annals-24-00724.Peer-Reviewed Original ResearchCross-sectional studyCross-sectional analysisAdverse health consequencesPatient safetyClinical testingClass IHealth consequencesClinical evidenceFDA summariesPostapproval studiesDecision summariesFood and Drug AdministrationU.S. Food and Drug AdministrationEnd-point selectionPremarket approvalMultiple class IClinical studiesPostmarketing surveillanceSummaryDrug AdministrationMedical device recall databaseRecallPatientsFDAPostmarketing
2023
Studies Of Prescription Digital Therapeutics Often Lack Rigor And Inclusivity
Kumar A, Ross J, Patel N, Rathi V, Redberg R, Dhruva S. Studies Of Prescription Digital Therapeutics Often Lack Rigor And Inclusivity. Health Affairs 2023, 42: 1559-1567. PMID: 37931187, DOI: 10.1377/hlthaff.2023.00384.Peer-Reviewed Original ResearchConceptsPrescription digital therapeuticDigital therapeuticsClinical studiesRetrospective cross-sectional analysisCross-sectional analysisStrong evidence baseHalf of studiesUpper age limitPremarket studiesDrug AdministrationClinician's prescriptionClinical useClinical researchEvidence baseTherapeuticsOne-third
2022
Consistency between trials presented at conferences, their subsequent publications and press releases
Rowhani-Farid A, Hong K, Grewal M, Reynolds J, Zhang A, Wallach J, Ross J. Consistency between trials presented at conferences, their subsequent publications and press releases. BMJ Evidence-Based Medicine 2022, 28: 95-102. PMID: 36357160, PMCID: PMC10086295, DOI: 10.1136/bmjebm-2022-111989.Peer-Reviewed Original ResearchConceptsClinical trialsConference abstractsTrial resultsEndpoint definitionsPrimary efficacy end pointEnd pointEfficacy end pointPrimary efficacy endpointClinical Trials RegistryMedical conferencesMultiple logistic regressionCross-sectional analysisSafety endpointEfficacy endpointPeer-reviewed journalsTrial abstractsTrials RegistryTrial characteristicsConsistency of reportingSample sizePrimary analysisSecondary analysisInternational medical conferencesLogistic regressionStudy designHospital-Administered Cancer Therapy Prices for Patients With Private Health Insurance
Xiao R, Ross JS, Gross CP, Dusetzina SB, McWilliams JM, Sethi RKV, Rathi VK. Hospital-Administered Cancer Therapy Prices for Patients With Private Health Insurance. JAMA Internal Medicine 2022, 182: 603-611. PMID: 35435948, PMCID: PMC9016607, DOI: 10.1001/jamainternmed.2022.1022.Peer-Reviewed Original ResearchConceptsCancer CenterCancer therapyCross-sectional studyHospital acquisition costNational Cancer InstituteCross-sectional analysisPrimary outcomeSecondary outcomesPrivate health insuranceMAIN OUTCOMEClinical careCancer InstituteMedicare Part B spendingTherapyAcquisition costsPart B spendingHospitalCancer treatmentHealth insuranceFinancial burdenB spendingPatientsSame centerOutcomesPayersAssociation Between Payments by Pharmaceutical Manufacturers and Prescribing Behavior in Rheumatology
Duarte-García A, Crowson CS, McCoy RG, Herrin J, Lam V, Putman MS, Ross JS, Matteson EL, Shah ND. Association Between Payments by Pharmaceutical Manufacturers and Prescribing Behavior in Rheumatology. Mayo Clinic Proceedings 2022, 97: 250-260. PMID: 35120693, PMCID: PMC9013005, DOI: 10.1016/j.mayocp.2021.08.026.Peer-Reviewed Original Research
2021
Loneliness, sadness, and feelings of social disconnection in older adults during the COVID‐19 pandemic
Holaday LW, Oladele CR, Miller SM, Dueñas MI, Roy B, Ross JS. Loneliness, sadness, and feelings of social disconnection in older adults during the COVID‐19 pandemic. Journal Of The American Geriatrics Society 2021, 70: 329-340. PMID: 34850379, PMCID: PMC8896574, DOI: 10.1111/jgs.17599.Peer-Reviewed Original ResearchConceptsPrimary careMedicare beneficiariesMultivariable logistic regression modelCOVID-19 pandemicOlder adultsOlder Medicare beneficiariesFeelings of lonelinessHistory of depressionPublic health measuresCross-sectional analysisLogistic regression modelsRace/ethnicitySubsequent morbidityLower oddsBlack beneficiariesHealth measuresSocial disconnectionSociodemographic variablesClinical studies sponsored by digital health companies participating in the FDA’s Precertification Pilot Program: A cross-sectional analysis
Bartlett VL, Dhruva SS, Shah ND, Ross JS. Clinical studies sponsored by digital health companies participating in the FDA’s Precertification Pilot Program: A cross-sectional analysis. Clinical Trials 2021, 19: 119-122. PMID: 34632824, PMCID: PMC9888320, DOI: 10.1177/17407745211048493.Peer-Reviewed Original ResearchConceptsCross-sectional analysisClinical studiesDigital health companiesPilot programHealth companiesEvaluation of Drug Trials in High-, Middle-, and Low-Income Countries and Local Commercial Availability of Newly Approved Drugs
Miller JE, Mello MM, Wallach JD, Gudbranson EM, Bohlig B, Ross JS, Gross CP, Bach PB. Evaluation of Drug Trials in High-, Middle-, and Low-Income Countries and Local Commercial Availability of Newly Approved Drugs. JAMA Network Open 2021, 4: e217075. PMID: 33950209, PMCID: PMC8100865, DOI: 10.1001/jamanetworkopen.2021.7075.Peer-Reviewed Original ResearchConceptsFDA approvalHigh-income countriesDrug approvalIncome countriesNovel drugsDrug Administration (FDA) drug approvalsRegulatory agency websitesCross-sectional analysisProportion of drugPrimary outcomeFDA drug approvalsProportion of countriesDrug trialsMAIN OUTCOMEUS FoodClinical researchCountry income levelLow-income countriesMarketing approvalTrialsGoogle ScholarDrugsDrug companiesApprovalMedian
2020
Consistency of trial reporting between ClinicalTrials.gov and corresponding publications: one decade after FDAAA
Talebi R, Redberg RF, Ross JS. Consistency of trial reporting between ClinicalTrials.gov and corresponding publications: one decade after FDAAA. Trials 2020, 21: 675. PMID: 32703252, PMCID: PMC7376878, DOI: 10.1186/s13063-020-04603-9.Peer-Reviewed Original Research
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 OUTCOMEPostmarketing commitments for novel drugs and biologics approved by the US Food and Drug Administration: a cross-sectional analysis
Wallach JD, Luxkaranayagam AT, Dhruva SS, Miller JE, Ross JS. Postmarketing commitments for novel drugs and biologics approved by the US Food and Drug Administration: a cross-sectional analysis. BMC Medicine 2019, 17: 117. PMID: 31203816, PMCID: PMC6572730, DOI: 10.1186/s12916-019-1344-3.Peer-Reviewed Original ResearchConceptsNew clinical trialsClinical trialsPostmarketing commitmentFDA approvalPeer-reviewed journalsNovel drugsPharmaceutical companiesCross-sectional analysisRate of completionRates of registrationClinical studiesPublic reporting requirementsFirst approvalTherapeutic evaluationUS FoodDrug AdministrationTrialsNew drugsFDA documentsBiologicsFDADrugsFDA recordsApprovalStatusAnalysis of Postapproval Clinical Trials of Therapeutics Approved by the US Food and Drug Administration Without Clinical Postmarketing Requirements or Commitments
Skydel JJ, Luxkaranayagam AT, Dhruva SS, Ross JS, Wallach JD. Analysis of Postapproval Clinical Trials of Therapeutics Approved by the US Food and Drug Administration Without Clinical Postmarketing Requirements or Commitments. JAMA Network Open 2019, 2: e193410. PMID: 31074812, PMCID: PMC6512282, DOI: 10.1001/jamanetworkopen.2019.3410.Peer-Reviewed Original ResearchConceptsPostapproval clinical trialsClinical trialsPrimary completion datePostmarketing requirementsNovel therapeuticsDrug AdministrationUS FoodNew indicationsPharmaceutical companiesNew clinical studiesCross-sectional analysisClinical outcomesStudy design elementsPatient populationUnapproved indicationsEfficacy dataClinical studiesStudy completionMAIN OUTCOMEFirst approvalMost trialsTrialsFDATherapeutic approvalsTherapeutics
2018
Adherence to the International Committee of Medical Journal Editors’ (ICMJE) prospective registration policy and implications for outcome integrity: a cross-sectional analysis of trials published in high-impact specialty society journals
Gopal AD, Wallach JD, Aminawung JA, Gonsalves G, Dal-Ré R, Miller JE, Ross JS. Adherence to the International Committee of Medical Journal Editors’ (ICMJE) prospective registration policy and implications for outcome integrity: a cross-sectional analysis of trials published in high-impact specialty society journals. Trials 2018, 19: 448. PMID: 30134950, PMCID: PMC6106722, DOI: 10.1186/s13063-018-2825-y.Peer-Reviewed Original ResearchConceptsPrimary outcome dataOutcome dataCross-sectional analysisUnregistered trialsTrial characteristicsClinical trialsFavorable findingsProfessional medical societiesMedical societiesIndustry-funded trialsFrequency of registrationPrimary outcomeRegistered trialsEnrollment siteProspective fashionChi-square analysisProportion of trialsOriginal research reportsInitial ascertainmentTrialsHigh-impact journalsMedical Journal EditorsRegistration timingRetrospective registrationLower ratesAge of Data at the Time of Publication of Contemporary Clinical Trials
Welsh J, Lu Y, Dhruva SS, Bikdeli B, Desai NR, Benchetrit L, Zimmerman CO, Mu L, Ross JS, Krumholz HM. Age of Data at the Time of Publication of Contemporary Clinical Trials. JAMA Network Open 2018, 1: e181065-e181065. PMID: 30646100, PMCID: PMC6324269, DOI: 10.1001/jamanetworkopen.2018.1065.Peer-Reviewed Original ResearchConceptsClinical trialsFinal data collectionParticipant enrollmentInternal medicineMultivariable linear regression analysisFirst participant enrollmentPrimary end pointMultivariable regression analysisContemporary clinical trialsClinical trial dataJAMA Internal MedicineRegression analysisCross-sectional analysisTime of publicationMedian timeTrial characteristicsOutcome measuresMAIN OUTCOMENew England JournalClinical practiceLinear regression analysisTrial dataEnd pointTrial resultsTrialsNational Prescribing Trends for High‐Risk Anticholinergic Medications in Older Adults
Rhee TG, Choi YC, Ouellet GM, Ross JS. National Prescribing Trends for High‐Risk Anticholinergic Medications in Older Adults. Journal Of The American Geriatrics Society 2018, 66: 1382-1387. PMID: 29582410, PMCID: PMC6097908, DOI: 10.1111/jgs.15357.Peer-Reviewed Original ResearchConceptsNational Ambulatory Medical Care SurveyAnticholinergic prescriptionsPhysician specialtyDrug classesPrescribing trendsOffice-based outpatient visitsOffice-based physician visitsAmbulatory Medical Care SurveyMultivariable logistic regression analysisOlder adultsNational prescribing trendsCommon drug classesLogistic regression analysisCross-sectional analysisSpecific physician specialtiesAnticholinergic medicationsPhysician visitsOutpatient visitsQuality prescribingCare SurveyFemale sexStratified analysisSouthern geographic regionsGreater oddsTotal visits
2017
Post‐marketing research and its outcome for novel anticancer agents approved by both the FDA and EMA between 2005 and 2010: A cross‐sectional study
Zeitoun J, Baron G, Vivot A, Atal I, Downing NS, Ross JS, Ravaud P. Post‐marketing research and its outcome for novel anticancer agents approved by both the FDA and EMA between 2005 and 2010: A cross‐sectional study. International Journal Of Cancer 2017, 142: 414-423. PMID: 28929484, DOI: 10.1002/ijc.31061.Peer-Reviewed Original ResearchConceptsPost-marketing trialsPrimary outcomeNovel anticancer agentsPost-market researchAnticancer agentsSupplemental indicationsCross-sectional studyPost-marketing researchEuropean Medicines AgencyCross-sectional analysisTypes of cancerPost-market trialClinical endpointsHematologic malignanciesKidney cancerSolid cancersSurrogate endpointsUS FoodDrug AdministrationMedicines AgencyOverall populationCancerTrialsPublication rateOutcomesClinical Evidence Supporting US Food and Drug Administration Premarket Approval of High‐Risk Otolaryngologic Devices, 2000‐2014
Rathi VK, Wang B, Ross JS, Downing NS, Kesselheim AS, Gray ST. Clinical Evidence Supporting US Food and Drug Administration Premarket Approval of High‐Risk Otolaryngologic Devices, 2000‐2014. Otolaryngology 2017, 156: 285-288. PMID: 28093943, DOI: 10.1177/0194599816684094.Peer-Reviewed Original ResearchConceptsPostapproval studiesPivotal studiesUS FoodPrimary effectiveness end pointAvailable FDA documentsEffectiveness end pointPivotal clinical studiesBenefit-risk assessmentCross-sectional analysisPremarket evidenceMedian durationClinical evidenceDrug Administration premarket approvalsOtolaryngologic diseaseMedian enrollmentClinical studiesHigh-risk medical devicesDrug AdministrationEnd pointHigh-risk devicesFDA documentsOne-thirdTwo-thirdsPremarket approvalFDA
2016
Hospital Use of Observation Stays
Venkatesh AK, Wang C, Ross JS, Altaf FK, Suter LG, Vellanky S, Grady JN, Bernheim SM. Hospital Use of Observation Stays. Medical Care 2016, 54: 1070-1077. PMID: 27579906, PMCID: PMC5850934, DOI: 10.1097/mlr.0000000000000601.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesAcute myocardial infarctionObservation staysHeart failureReadmission measuresHospital useHospital risk-standardized readmission ratesCross-sectional analysisModest inverse correlationPostdischarge periodReadmission ratesHospital observationMyocardial infarctionMedicare feeStayPneumoniaService beneficiariesMeasures of qualityMedicaid ServicesHospitalInverse correlationModest correlationReadmissionPublic reportingFailure