2020
Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Li SX, Wang Y, Lama SD, Schwartz J, Herrin J, Mei H, Lin Z, Bernheim SM, Spivack S, Krumholz HM, Suter LG. Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data. BMC Health Services Research 2020, 20: 733. PMID: 32778098, PMCID: PMC7416804, DOI: 10.1186/s12913-020-05611-w.Peer-Reviewed Original Research
2019
Follow-up Care for Breast Cancer Survivors
Ruddy KJ, Herrin J, Sangaralingham L, Freedman RA, Jemal A, Haddad TC, Allen SV, Hieken T, Boughey JC, Ganz PA, Havyer RD, Shah ND. Follow-up Care for Breast Cancer Survivors. Journal Of The National Cancer Institute 2019, 112: 111-113. PMID: 31613369, PMCID: PMC7849972, DOI: 10.1093/jnci/djz203.Peer-Reviewed Original ResearchConceptsBreast cancer survivorsCancer survivorsUS commercial insurance databaseCurative-intent surgeryCommercial insurance databasePrimary care providersEndocrine therapyIntent surgeryImpairs outcomeSurvivorship guidelinesInsurance databaseNonwhite raceAnnual followBreast cancerCare providersClaims dataClinical practiceOlder ageSurgeryWomenSurvivorsYear 2ChemotherapyPatientsOncologists
2018
An empiric approach to identifying physician peer groups from claims data: An example from breast cancer care
Herrin J, Soulos PR, Xu X, Gross CP, Pollack CE. An empiric approach to identifying physician peer groups from claims data: An example from breast cancer care. Health Services Research 2018, 54: 44-51. PMID: 30488484, PMCID: PMC6338298, DOI: 10.1111/1475-6773.13095.Peer-Reviewed Original ResearchConceptsPhysician peer groupsClaims dataEnd Results-MedicareBreast cancer careAdministrative claims dataHospital-based groupEmpiric approachCancer careBreast cancerHospital groupPatientsPatient volumePhysiciansEmpirical groupGroup reliabilityPhysician inclusionPercentGroupMedian overlapT1CancerPeer groupEpidemiologySurgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI
Tannenbaum SS, Soulos PR, Herrin J, Pollack CE, Xu X, Christakis NA, Forman HP, Yu JB, Killelea BK, Wang S, Gross CP. Surgeon peer network characteristics and adoption of new imaging techniques in breast cancer: A study of perioperative MRI. Cancer Medicine 2018, 7: 5901-5909. PMID: 30444005, PMCID: PMC6308117, DOI: 10.1002/cam4.1821.Peer-Reviewed Original ResearchConceptsPrimary care physiciansPatient-sharing networksBreast cancerPerioperative MRISubsequent receiptNon-cancer patientsBreast cancer practiceMultivariable hierarchical modelsUse of MRIClinical characteristicsCare physiciansFemale patientsCancer practiceMedicare databaseNew imaging techniquesMedicare sampleStage 0Claims dataPatientsPhysician groupsMRISurgeonsCancerEquivocal evidencePhysicians
2017
Predictors of Return Visits Among Insured Emergency Department Mental Health and Substance Abuse Patients, 2005-2013
Lee S, Herrin J, Bobo WV, Johnson R, Sangaralingham LR, Campbell RL. Predictors of Return Visits Among Insured Emergency Department Mental Health and Substance Abuse Patients, 2005-2013. Western Journal Of Emergency Medicine 2017, 18: 884-893. PMID: 28874941, PMCID: PMC5576625, DOI: 10.5811/westjem.2017.6.33850.Peer-Reviewed Original ResearchConceptsED visitsReturn visitsInpatient admissionsOptum Labs Data WarehouseMental healthChronic medical comorbiditiesContinuous insurance enrollmentFirst ED visitIndex ED visitRetrospective cohort studyAdministrative claims dataMedicare Advantage enrolleesPrior EDMedical comorbiditiesCohort studyAcute carePrimary diagnosisStudy inclusionRisk factorsInpatient utilizationClaims dataIncreased ageSubstance abusePatientsStudy periodTrends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015
Salerno AM, Horwitz LI, Kwon JY, Herrin J, Grady JN, Lin Z, Ross JS, Bernheim SM. Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015. BMJ Open 2017, 7: e016149. PMID: 28710221, PMCID: PMC5541519, DOI: 10.1136/bmjopen-2017-016149.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramNon-safety net hospitalsSafety-net hospitalMedicare administrative claims dataReadmission ratesAdministrative claims dataNet hospitalReadmissions Reduction ProgramRetrospective time series analysisSafety netClaims dataTime series analysisSocioeconomic statusUnplanned readmission ratePrincipal discharge diagnosisLow socioeconomic statusInterrupted time seriesReduction programsFive-digit zip codeSeries analysisHRRP penaltiesIndex admissionHospital proportionDischarge diagnosisService patients
2016
Trends in Utilization and Outcomes of Hip Arthroscopy in the United States Between 2005 and 2013
Maradit Kremers H, Schilz SR, Van Houten HK, Herrin J, Koenig KM, Bozic KJ, Berry DJ. Trends in Utilization and Outcomes of Hip Arthroscopy in the United States Between 2005 and 2013. The Journal Of Arthroplasty 2016, 32: 750-755. PMID: 27793498, DOI: 10.1016/j.arth.2016.09.004.Peer-Reviewed Original ResearchConceptsTotal hip arthroplastyHip arthroscopy proceduresHip arthroscopyArthroscopy proceduresSubsequent hip arthroscopyCumulative incidenceArthroscopy ratesRetrospective cohort studySubset of patientsAdministrative claims dataCohort studyTHA proceduresSubsequent riskHip arthroplastyClaims dataArthroscopyUtilization trendsSubsequent proceduresSurvival analysis methodsSubsequent arthroscopyOutcomesIncidenceFuture studiesLarge increaseAgeTrends in Drug Utilization, Glycemic Control, and Rates of Severe Hypoglycemia, 2006–2013
Lipska KJ, Yao X, Herrin J, McCoy RG, Ross JS, Steinman MA, Inzucchi SE, Gill TM, Krumholz HM, Shah ND. Trends in Drug Utilization, Glycemic Control, and Rates of Severe Hypoglycemia, 2006–2013. Diabetes Care 2016, 40: 468-475. PMID: 27659408, PMCID: PMC5360291, DOI: 10.2337/dc16-0985.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedBlood GlucoseComorbidityDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsDrug UtilizationFemaleGlycated HemoglobinHumansHypoglycemiaHypoglycemic AgentsInsulinLogistic ModelsMaleMetforminMiddle AgedRetrospective StudiesSulfonylurea CompoundsThiazolidinedionesYoung AdultConceptsGlycemic controlSevere hypoglycemiaOlder patientsDipeptidyl peptidase-4 inhibitorsGlucose-lowering drugsGlucose-lowering medicationsProportion of patientsOverall glycemic controlPeptidase-4 inhibitorsMedicare Advantage patientsSex-standardized ratesType 2 diabetesOverall rateClass of agentsMore comorbiditiesChronic comorbiditiesYounger patientsAdvantage patientsDrug utilizationClaims dataPatientsHypoglycemiaHemoglobin AT2DMComorbidities
2014
Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission.
Horwitz LI, Partovian C, Lin Z, Grady JN, Herrin J, Conover M, Montague J, Dillaway C, Bartczak K, Suter LG, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission. Annals Of Internal Medicine 2014, 161: s66-75. PMID: 25402406, PMCID: PMC4235629, DOI: 10.7326/m13-3000.Peer-Reviewed Original ResearchConceptsUnplanned readmissionReadmission measuresReadmission ratesReadmission riskMedicare feeHospital-wide readmission measureRisk-standardized readmission ratesPayer dataAdministrative Claims MeasureRisk-standardized ratesAverage-risk patientsUnplanned readmission rateDays of dischargeHospital risk-standardized readmission ratesAdult hospitalizationsComorbid conditionsPrincipal diagnosisClaims dataService claimsService beneficiariesReadmissionMeasure development studiesMedicaid ServicesRisk adjustmentHospital