2024
Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial
Song J, Wang X, Wang B, Ge Y, Bi L, Jing F, Jin H, Li T, Gu B, Wang L, Hao J, Zhao Y, Liu J, Zhang H, Li X, Li J, Ma W, Wang J, Normand S, Herrin J, Armitage J, Krumholz H, Zheng X. Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial. The BMJ 2024, 386: e079143. PMID: 39043397, PMCID: PMC11265211, DOI: 10.1136/bmj-2023-079143.Peer-Reviewed Original ResearchConceptsClinical decision support systemsPrimary care practicesElectronic health recordsIntervention groupSystolic blood pressurePrimary careCare practicesBlood pressure <Health recordsPragmatic cluster randomised controlled trialCluster randomised controlled trialImproving hypertension treatmentPrimary care settingBlood pressure control ratesBlood pressureProportion of visitsProportion of participantsRandomised controlled trialsSystolic blood pressure <Control groupInjurious fallsRelated visitsCare settingsDiastolic blood pressure <Follow-up
2015
Shared Decision Making for Antidepressants in Primary Care: A Cluster Randomized Trial
LeBlanc A, Herrin J, Williams MD, Inselman JW, Branda ME, Shah ND, Heim EM, Dick SR, Linzer M, Boehm DH, Dall-Winther KM, Matthews MR, Yost KJ, Shepel KK, Montori VM. Shared Decision Making for Antidepressants in Primary Care: A Cluster Randomized Trial. JAMA Internal Medicine 2015, 175: 1761-1770. PMID: 26414670, PMCID: PMC4754973, DOI: 10.1001/jamainternmed.2015.5214.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntidepressive AgentsChoice BehaviorCluster AnalysisComparative Effectiveness ResearchDecision MakingDecision Support TechniquesDepressionFemaleHumansMaleMedication AdherenceMiddle AgedMinnesotaOutcome Assessment, Health CarePatient ParticipationPractice Patterns, Physicians'Primary Health CarePsychiatric Status Rating ScalesWisconsinConceptsPrimary care practicesDecisional comfortMedication adherenceUsual careDepression outcomesPrimary careSevere depressionCare practicesComparative effectivenessUrban primary care practicesEncounter decision aidsTrials of adultsPrimary care cliniciansPatient Health QuestionnaireTreatment of depressionPatient-centered careQuality of careTranslation of evidenceCluster Randomized TrialDecision aidEffects of DMCUse of DMCAvailable antidepressantsCare cliniciansMedication choice
2014
Impact of an EHR-Based Diabetes Management Form on Quality and Outcomes of Diabetes Care in Primary Care Practices
Herrin J, da Graca B, Aponte P, Stanek HG, Cowling T, Fullerton C, Hollander P, Ballard DJ. Impact of an EHR-Based Diabetes Management Form on Quality and Outcomes of Diabetes Care in Primary Care Practices. American Journal Of Medical Quality 2014, 30: 14-22. PMID: 24399633, DOI: 10.1177/1062860613516991.Peer-Reviewed Original ResearchConceptsPrimary care practicesAspirin prescriptionBlood pressureOptimal careCare practicesLow-density lipoprotein cholesterolChronic disease careDelivery of careElectronic health recordsDMF useFoot examsInsulin useLipoprotein cholesterolPrimary outcomeLDL cholesterolDisease careDiabetes careDiabetes patientsEvidence-based targetsHealth information technologyMicroalbumin testNumber of visitsLess improvementPatientsCare
2013
Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial
LeBlanc A, Bodde AE, Branda ME, Yost KJ, Herrin J, Williams MD, Shah ND, Houten HV, Ruud KL, Pencille LJ, Montori VM. Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial. Trials 2013, 14: 127. PMID: 23782672, PMCID: PMC3663744, DOI: 10.1186/1745-6215-14-127.Peer-Reviewed Original ResearchMeSH KeywordsAntidepressive AgentsClinical ProtocolsComparative Effectiveness ResearchDecision Support TechniquesDepressionHumansMedication AdherenceMental HealthMidwestern United StatesPatient SelectionPatient-Centered CarePrimary Health CareResearch DesignSurveys and QuestionnairesTime FactorsTreatment OutcomeConceptsUsual depression carePrimary care practicesDepression careInner-city primary care practiceCare practicesPractice-based trialPrimary care encountersTerms of efficacyDecision aidPatient-centered approachDesignThe objectiveAntidepressant therapyUsual careMedication choiceDepression medicationsDepression treatmentMedication adherencePatient knowledgeStudy protocolSevere depressionCare encountersImproved adherencePatient representativesPatient involvementPatients
2012
The Effectiveness of Implementing an Electronic Health Record on Diabetes Care and Outcomes
Herrin J, da Graca B, Nicewander D, Fullerton C, Aponte P, Stanek G, Cowling T, Collinsworth A, Fleming NS, Ballard DJ. The Effectiveness of Implementing an Electronic Health Record on Diabetes Care and Outcomes. Health Services Research 2012, 47: 1522-1540. PMID: 22250953, PMCID: PMC3401397, DOI: 10.1111/j.1475-6773.2011.01370.x.Peer-Reviewed Original ResearchConceptsPrimary care practicesBlood pressureDiabetes careOptimal careCare practicesDiastolic blood pressureSystolic blood pressureYears of ageElectronic health record implementationElectronic health recordsAspirin prescriptionUnexposed patientsAspirin useCare bundleInsulin usePatient ageLipid controlPrimary outcomeClinical outcomesLDL cholesterolSmoking cessationChart auditDiabetes measuresDiabetes patientsPatients