2022
898-P: Impact of Switching to a High-Deductible Health Plan on Patients’ Out-of-Pocket Expenditures for Glucose-Lowering Drugs
JIANG D, HERRIN J, VAN HOUTEN H, MCCOY R. 898-P: Impact of Switching to a High-Deductible Health Plan on Patients’ Out-of-Pocket Expenditures for Glucose-Lowering Drugs. Diabetes 2022, 71 DOI: 10.2337/db22-898-p.Peer-Reviewed Original ResearchHigh-deductible health plansGlucose-lowering drugsHDHP enrolleesOOP expensesHealth outcomesPocket expenditureHealth plansBurden of treatmentCostly health conditionsPoor health outcomesDeductible Health PlansGlycemic managementHigh-value careKidney diseaseDiabetes managementOOP costsValue careOOP expenditurePrescription drugsDiabetesHealth conditionsDirect costsDrugsEnrolleesHealth insurance
2020
Community factors and hospital wide readmission rates: Does context matter?
Spatz ES, Bernheim SM, Horwitz LI, Herrin J. Community factors and hospital wide readmission rates: Does context matter? PLOS ONE 2020, 15: e0240222. PMID: 33095775, PMCID: PMC7584172, DOI: 10.1371/journal.pone.0240222.Peer-Reviewed Original Research
2019
Measuring hospital‐specific disparities by dual eligibility and race to reduce health inequities
Lloren A, Liu S, Herrin J, Lin Z, Zhou G, Wang Y, Kuang M, Zhou S, Farietta T, McCole K, Charania S, Sheares K, Bernheim S. Measuring hospital‐specific disparities by dual eligibility and race to reduce health inequities. Health Services Research 2019, 54: 243-254. PMID: 30666634, PMCID: PMC6341208, DOI: 10.1111/1475-6773.13108.Peer-Reviewed Original ResearchConceptsAfrican American racePatient case mixDual eligibilityReadmission ratesAmerican raceRisk-standardized outcomesHigher readmission ratesDual eligibility statusAcute myocardial infarctionAfrican American patientsRisk-standardized readmission ratesAcute care hospitalsQuality of careMedicaid Services methodologyHealth care qualityHospital disparitiesCare hospitalHeart failureInpatient admissionsMyocardial infarctionAmerican patientsMedicare patientsCase mixHealth outcomesHospital
2018
Identifying county characteristics associated with resident well-being: A population based study
Roy B, Riley C, Herrin J, Spatz ES, Arora A, Kell KP, Welsh J, Rula EY, Krumholz HM. Identifying county characteristics associated with resident well-being: A population based study. PLOS ONE 2018, 13: e0196720. PMID: 29791476, PMCID: PMC5965855, DOI: 10.1371/journal.pone.0196720.Peer-Reviewed Original ResearchConceptsCounty-level factorsClinical careCross-sectional studyQuality of lifeBetter health outcomesMulti-dimensional assessmentHealth outcomesBeing IndexGallup-Sharecare WellUS residentsCareCounty characteristicsSurvey participantsResident wellUS countiesScoresCounty equivalentsAssessmentFactorsCohort
2011
Health and social services expenditures: associations with health outcomes
Bradley EH, Elkins BR, Herrin J, Elbel B. Health and social services expenditures: associations with health outcomes. BMJ Quality & Safety 2011, 20: 826. PMID: 21447501, DOI: 10.1136/bmjqs.2010.048363.Peer-Reviewed Original ResearchConceptsHealth service expendituresBetter health outcomesHealth outcomesLow birth weightLife expectancyInfant mortalityPopulation-level health outcomesService expendituresPotential life yearsSocial service expenditureHealth expenditureCross-sectional analysisMaternal mortalityBirth weightPotential yearsBetter outcomesLife yearsMortalityHealth indicatorsOutcomesHealthcare reformGross domestic productAssociationHealthExpectancy
2002
Blind Faith? The Effects of Promoting Active Sick Leave for Back Pain Patients
Scheel I, Hagen K, Herrin J, Carling C, Oxman A. Blind Faith? The Effects of Promoting Active Sick Leave for Back Pain Patients. Spine 2002, 27: 2734-2740. PMID: 12461401, DOI: 10.1097/00007632-200212010-00014.Peer-Reviewed Original ResearchConceptsLow back painProportion of patientsQuality of lifeSick leaveControl groupIntervention groupPassive intervention groupBack pain patientsPassive interventionMain outcome measuresSelf-reported qualityNational Insurance AdministrationLBP patientsPain patientsBack painPatient satisfactionGeneral practitionersMedian numberOutcome measuresBACKGROUND DATAIndividual patientsPatientsResponse rateHealth outcomesIntervention