2024
Derivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes
McCoy R, Swarna K, Deng Y, Herrin J, Ross J, Kent D, Borah B, Crown W, Montori V, Umpierrez G, Galindo R, Brito J, Mickelson M, Polley E. Derivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes. JACC Advances 2024, 3: 100852. PMID: 38939660, PMCID: PMC11198625, DOI: 10.1016/j.jacadv.2024.100852.Peer-Reviewed Original ResearchType 2 diabetesMedicare fee-for-service planClaims-based prediction modelPopulation risk stratificationRisk of Major Adverse Cardiovascular EventsMajor adverse cardiovascular eventsNon-Hispanic whitesFee-for-service plansStudy cohortClinical trials of cardiovascular diseaseCox proportional hazards modelsProportional hazards modelCare populationHealth systemPrimary preventionMedicare AdvantageParticipant identificationPayer levelPharmacy claimsDecentralized clinical trialsHazards modelCardiovascular diseaseRisk predictionMedicarePatient population
2014
A reanalysis of cluster randomized trials showed interrupted time-series studies were valuable in health system evaluation
Fretheim A, Zhang F, Ross-Degnan D, Oxman AD, Cheyne H, Foy R, Goodacre S, Herrin J, Kerse N, McKinlay RJ, Wright A, Soumerai SB. A reanalysis of cluster randomized trials showed interrupted time-series studies were valuable in health system evaluation. Journal Of Clinical Epidemiology 2014, 68: 324-333. PMID: 25499983, DOI: 10.1016/j.jclinepi.2014.10.003.Peer-Reviewed Original ResearchConceptsC-RCTsControl groupInterrupted time series studyConfidence intervalsConcurrent control groupHealth system interventionsHealth system evaluationControl arm dataInterrupted time series designIntervention armRandomized trialsControl group dataTrial dataTime-series studyTime series designHealth systemStudy designEffect estimatesTrialsInterventionSystem interventionsArm dataGroup dataRCTsGroup