2024
Peer Comparison or Guideline-Based Feedback and Postsurgery Opioid Prescriptions
Wagner Z, Kirkegaard A, Mariano L, Doctor J, Yan X, Persell S, Goldstein N, Fox C, Brummett C, Romanelli R, Bouskill K, Martinez M, Zanocco K, Meeker D, Mudiganti S, Waljee J, Watkins K. Peer Comparison or Guideline-Based Feedback and Postsurgery Opioid Prescriptions. JAMA Health Forum 2024, 5: e240077. PMID: 38488780, PMCID: PMC10943416, DOI: 10.1001/jamahealthforum.2024.0077.Peer-Reviewed Original ResearchConceptsCluster randomized clinical trialPeer comparison interventionOpioid prescribingEmail feedbackGuideline interventionComparison interventionIntervention periodHealth care delivery systemRandomized clinical trialsOpioid prescriptionsCare delivery systemPeer comparisonExcessive opioid prescribingSocial norm-based interventionsControl groupIntervention monthsMain OutcomesQuantity of opioidsClinical trialsDischarged patientsPeer surgeonsPrescribingOpioid misuseInterventionSurgical specialties
2023
Clinician Job Satisfaction After Peer Comparison Feedback
Doctor J, Goldstein N, Fox C, Linder J, Persell S, Stewart E, Knight T, Meeker D. Clinician Job Satisfaction After Peer Comparison Feedback. JAMA Network Open 2023, 6: e2317379. PMID: 37289454, PMCID: PMC10251208, DOI: 10.1001/jamanetworkopen.2023.17379.Peer-Reviewed Original ResearchConceptsClinician performanceInappropriate antibiotic prescribingSecondary null hypothesisRandomized clinical trialsMean job satisfactionPeer-comparison feedbackIndividual clinician performanceSocial norm feedbackClinician job satisfactionAntibiotic prescribingPrimary outcomeMean ageTrial interventionClinical trialsClinical significanceMonthly emailsMAIN OUTCOMENoninferiority analysisSecondary analysisInternal medicineSatisfaction scoresCliniciansClinicPeer comparisonIntervention
2021
Design of Behavioral Economic Applications to Geriatrics Leveraging Electronic Health Records (BEAGLE): A pragmatic cluster randomized controlled trial
Brown T, Rowe T, Lee J, Petito L, Chmiel R, Ciolino J, Doctor J, Fox C, Goldstein N, Kaiser D, Linder J, Meeker D, Peprah Y, Persell S. Design of Behavioral Economic Applications to Geriatrics Leveraging Electronic Health Records (BEAGLE): A pragmatic cluster randomized controlled trial. Contemporary Clinical Trials 2021, 112: 106649. PMID: 34896294, PMCID: PMC8724916, DOI: 10.1016/j.cct.2021.106649.Peer-Reviewed Original ResearchConceptsPrimary care clinicsProstate-specific antigenCo-primary outcomesElectronic health recordsCare clinicsOlder adultsClinician educationParallel armsPragmatic cluster-randomized trialNon-specific reasonsOvertreatment of diabetesClinical decision support interventionHealth recordsPrimary care cliniciansChoosing Wisely campaignLarge regional health systemCluster-randomized trialDecision support interventionsPragmatic clusterRegional health systemOlder patientsStudy armsCare cliniciansDiabetes measuresUrine testingPrivacy-protecting, reliable response data discovery using COVID-19 patient observations
Kim J, Neumann L, Paul P, Day M, Aratow M, Bell D, Doctor J, Hinske L, Jiang X, Kim K, Matheny M, Meeker D, Pletcher M, Schilling L, SooHoo S, Xu H, Zheng K, Ohno-Machado L, Anderson D, Anderson N, Balacha C, Bath T, Baxter S, Becker-Pennrich A, Bernstam E, Carter W, Chau N, Choi Y, Covington S, DuVall S, El-Kareh R, Florian R, Follett R, Geisler B, Ghigi A, Gottlieb A, Hu Z, Ir D, Knight T, Koola J, Kuo T, Lee N, Mansmann U, Mou Z, Murphy R, Neumann L, Nguyen N, Niedermayer S, Park E, Perkins A, Post K, Rieder C, Scherer C, Soares A, Soysal E, Tep B, Toy B, Wang B, Wu Z, Zhou Y, Zucker R. Privacy-protecting, reliable response data discovery using COVID-19 patient observations. Journal Of The American Medical Informatics Association 2021, 28: 1765-1776. PMID: 34051088, PMCID: PMC8194878, DOI: 10.1093/jamia/ocab054.Peer-Reviewed Original Research
2020
Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research.
Choi Y, López J, Meeker D, Ohno-Machado L, Kim K. Engaging heart failure patients from a clinical data research network: A survey on willingness to participate in different types of research. AMIA Annual Symposium Proceedings 2020, 2019: 305-312. PMID: 32308823, PMCID: PMC7153117.Peer-Reviewed Original ResearchConceptsClinical Data Research NetworkHeart failure patientsLarge cohort studyResearch participationResearch NetworkCohort studyFailure patientsOne-time surveyPatient cohortObservational studyPatient motivationWeight controlSignificant associationClinical researchPatientsPrecision medicineHealth dataRecruitment effortsNational effortsActivity interestsSurgeryCohortClinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement
Rowe T, Brown T, Lee J, Linder J, Friedberg M, Doctor J, Meeker D, Ciolino J, Persell S. Clinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement. Journal Of General Internal Medicine 2020, 35: 1797-1802. PMID: 32128687, PMCID: PMC7280408, DOI: 10.1007/s11606-020-05748-8.Peer-Reviewed Original ResearchConceptsDiabetes measuresPSA measuresUrine cultureOlder adultsUrinalysis/urine cultureProstate-specific antigen (PSA) testingHealth systemNon-specific reasonsOral hypoglycemic medicationsOveruse of testingInappropriate useSame health systemMedical servicesIntermediate outcome measuresClinical quality measuresDesignRetrospective analysisHypoglycemic medicationsElderly patientsAntigen testingDiabetes mellitusCare cliniciansHighest quartileOffice visitsOdds ratioOutcome measures
2019
Patient Commitment to Health (PACT-Health) in the Heart Failure Population: A Focus Group Study of an Active Communication Framework for Patient-Centered Health Behavior Change
Meeker D, Goldberg J, Kim K, Peneva D, De Oliveira Campos H, Maclean R, Selby V, Doctor J. Patient Commitment to Health (PACT-Health) in the Heart Failure Population: A Focus Group Study of an Active Communication Framework for Patient-Centered Health Behavior Change. Journal Of Medical Internet Research 2019, 21: e12483. PMID: 31389339, PMCID: PMC6701162, DOI: 10.2196/12483.Peer-Reviewed Original ResearchConceptsHeart failure populationHeart failureFailure populationHealth coachingDietary habitsMedication adherence barriersPatient-centered themesChronic heart failurePatient focus groupsHealth behavior changeRegimen complexityAdherence barriersMedication adherenceExercise regimensDisease progressionExercise habitsLocal cardiologistsLifestyle changesPatient commitmentCare providersFocus groupsSide effectsSemistructured interview toolPatientsAppropriate exerciseSimulation-based training is associated with lower risk-adjusted mortality in ACS pediatric TQIP centers.
Jensen A, McLaughlin C, Subacius H, McAuliff K, Nathens A, Wong C, Meeker D, Burd R, Ford H, Upperman J. Simulation-based training is associated with lower risk-adjusted mortality in ACS pediatric TQIP centers. Journal Of Trauma And Acute Care Surgery 2019, 87: 841-848. PMID: 31589193, PMCID: PMC6785206, DOI: 10.1097/ta.0000000000002433.Peer-Reviewed Original ResearchConceptsRisk-adjusted mortalityTrauma Quality Improvement ProgramPatient outcomesPediatric Trauma Quality Improvement ProgramMultivariable hierarchical logistic regressionLower risk-adjusted mortalityRisk-adjusted oddsPediatric trauma resuscitationQuality Improvement ProgramSimulation-based trainingLow-volume trainingHierarchical logistic regressionSurvey nonrespondersHigh-volume trainingSurvey response rateTrauma centerClinical dataAmerican CollegeResuscitation qualityCare managementResponse rateTrauma resuscitationLevel IIIMortalitySimulation-based team trainingA Multifaceted Intervention Improves Prescribing for Acute Respiratory Infection for Adults and Children in Emergency Department and Urgent Care Settings
Yadav K, Meeker D, Mistry R, Doctor J, Fleming‐Dutra K, Fleischman R, Gaona S, Stahmer A, May L. A Multifaceted Intervention Improves Prescribing for Acute Respiratory Infection for Adults and Children in Emergency Department and Urgent Care Settings. Academic Emergency Medicine 2019, 26: 719-731. PMID: 31215721, PMCID: PMC8146207, DOI: 10.1111/acem.13690.Peer-Reviewed Original ResearchConceptsAcute respiratory infectionsEmergency departmentARI visitsRespiratory infectionsStewardship interventionsUrgent care center visitsViral acute respiratory infectionsHierarchical mixed-effects logistic regression modelsCluster-randomized clinical trialHealth systemAntibiotic stewardship interventionsUrgent care settingsOutpatient antibiotic prescriptionsPediatric emergency departmentMixed effects logistic regression modelsAcademic health systemLogistic regression modelsInappropriate prescribingAntibiotic prescribingAntibiotic prescriptionsInappropriate prescriptionsInfluenza seasonAntibiotic stewardshipClinical trialsOdds ratio
2017
Timing of mortality in pediatric trauma patients: A National Trauma Data Bank analysis
McLaughlin C, Zagory J, Fenlon M, Park C, Lane C, Meeker D, Burd R, Ford H, Upperman J, Jensen A. Timing of mortality in pediatric trauma patients: A National Trauma Data Bank analysis. Journal Of Pediatric Surgery 2017, 53: 344-351. PMID: 29111081, PMCID: PMC5828917, DOI: 10.1016/j.jpedsurg.2017.10.006.Peer-Reviewed Original ResearchConceptsPediatric trauma patientsEarly mortalityTrauma patientsNational Trauma Data Bank AnalysisNational Trauma Data BankRetrospective cohort studyLate complication rateShorter median timeTrauma Data BankInjury prevention effortsTiming of mortalityDistribution of deathsEarly resuscitationAdult patientsCohort studyComplication rateInpatient deathRetrospective cohortMedian timePediatric agePediatric injuriesTube thoracostomyEmergency departmentED resuscitationHigh incidence
2016
Comparative analysis of stakeholder experiences with an online approach to prioritizing patient-centered research topics
Khodyakov D, Grant S, Meeker D, Booth M, Pacheco-Santivanez N, Kim K. Comparative analysis of stakeholder experiences with an online approach to prioritizing patient-centered research topics. Journal Of The American Medical Informatics Association 2016, 24: 537-543. PMID: 28011596, PMCID: PMC7651951, DOI: 10.1093/jamia/ocw157.Peer-Reviewed Original ResearchConceptsStudy participationPatient/caregiver experienceKawasaki diseaseHeart failureRating roundsCaregivers' experiencesProfessional stakeholdersMultivariate modelConvenience samplePatientsDelphi panelCliniciansPerson meetingsResearch prioritizationSelf-reported willingnessLittle evidenceParticipants' experiencesStakeholder experiencesObesityDiseaseExperience indexBehavioral interventions to reduce inappropriate antibiotic prescribing: a randomized pilot trial
Persell S, Doctor J, Friedberg M, Meeker D, Friesema E, Cooper A, Haryani A, Gregory D, Fox C, Goldstein N, Linder J. Behavioral interventions to reduce inappropriate antibiotic prescribing: a randomized pilot trial. BMC Infectious Diseases 2016, 16: 373. PMID: 27495917, PMCID: PMC4975897, DOI: 10.1186/s12879-016-1715-8.Peer-Reviewed Original ResearchMeSH KeywordsAcute DiseaseAdultAnti-Bacterial AgentsBehaviorDecision MakingDecision Support Systems, ClinicalEducation, Medical, ContinuingFemaleHumansInappropriate PrescribingInterprofessional RelationsMaleMiddle AgedPharyngitisPhysicians, Primary CarePilot ProjectsPractice Patterns, Physicians'PrescriptionsRespiratory Tract InfectionsSinusitisConceptsAcute respiratory infectionsInappropriate antibiotic prescribingAntibiotic prescribingRespiratory infectionsDiagnosis/symptomsARI diagnosesBehavioral interventionsAntibiotic prescribing ratesRandomized pilot trialPre-intervention yearInappropriate prescribingPrescribing ratesCare cliniciansAccountable justificationPilot trialPrescribingIntervention yearPharyngitisInfectionFloor effectsSymptomsDiagnosisPeer comparisonInterventionHawthorne effectRethinking the value of survival: clinical trials should measure patient preferences for survival on entry to trials
Doctor J, Huesch M, Meeker D. Rethinking the value of survival: clinical trials should measure patient preferences for survival on entry to trials. Journal Of Clinical Epidemiology 2016, 77: 137-138. PMID: 27164276, DOI: 10.1016/j.jclinepi.2016.03.030.Peer-Reviewed Original ResearchCognitive reflection and antibiotic prescribing for acute respiratory infections
Pineros D, Doctor J, Friedberg M, Meeker D, Linder J. Cognitive reflection and antibiotic prescribing for acute respiratory infections. Family Practice 2016, 33: 309-311. PMID: 27006411, PMCID: PMC4931815, DOI: 10.1093/fampra/cmw015.Peer-Reviewed Original ResearchConceptsAcute respiratory infectionsAntibiotic prescribing ratesAntibiotic prescribingPrescribing ratesRespiratory infectionsCommon clinical decisionsPrescription of antibioticsElectronic health record dataPrimary care practicesHealth record dataCare practicesClinicians' tendenciesClinical decisionPrescribingRecord dataCliniciansInfectionAntibioticsHigher scoresScoresPsychological testsCareEffect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial
Meeker D, Linder J, Fox C, Friedberg M, Persell S, Goldstein N, Knight T, Hay J, Doctor J. Effect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial. JAMA 2016, 315: 562-570. PMID: 26864410, PMCID: PMC6689234, DOI: 10.1001/jama.2016.0275.Peer-Reviewed Original ResearchConceptsAcute respiratory tract infectionsInappropriate antibiotic prescribingAntibiotic prescribing ratesRespiratory tract infectionsPrimary care practicesAntibiotic prescribingPrescribing ratesTract infectionsAccountable justificationCare practicesBehavioral interventionsElectronic health recordsClinical trialsAntibiotic prescribing guidelinesElectronic order setsPatients' electronic health recordsAdult patientsPrescribing guidelinesAmbulatory visitsMonth 18Concomitant infectionNonantibiotic treatmentIntervention periodMonths preinterventionMAIN OUTCOME
2015
Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research
Fillo J, Staplefoote-Boynton B, Martinez A, Sontag-Padilla L, Shadel W, Martino S, Setodji C, Meeker D, Scharf D. Simplified Novel Application (SNApp) framework: a guide to developing and implementing second-generation mobile applications for behavioral health research. Translational Behavioral Medicine 2015, 6: 587-595. PMID: 27848211, PMCID: PMC5110486, DOI: 10.1007/s13142-015-0363-7.Peer-Reviewed Original ResearchConceptsNovel application frameworkApplication frameworkMobile applicationsApp developmentApp development processSoftware developmentHardware decisionsMobile appsMobile technologyProject resource constraintsMultiple streamsResource constraintsHuman subjects issuesReal timeResource gatheringDevelopment processAppsBehavioral health researchersTechnical decisionsText messagesBehavioral health researchFrameworkCommon challengesResearchersSoftwareSymptom trends in the last year of life from 1998 to 2010: a cohort study.
Singer A, Meeker D, Teno J, Lynn J, Lunney J, Lorenz K. Symptom trends in the last year of life from 1998 to 2010: a cohort study. Annals Of Internal Medicine 2015, 162: 175-83. PMID: 25643305, PMCID: PMC4346253, DOI: 10.7326/m13-1609.Peer-Reviewed Original ResearchConceptsProxy reportsPain intensitySymptom prevalenceLife careProxy-reported painChronic lung diseaseCongestive heart failureManagement of painPrevalence of depressionEnd of lifeCohort studySevere painHeart failureLung diseaseObservational studyTroubling symptomsSudden deathIndividual symptomsAlarming symptomsPainFamily respondentsHRS participantsSymptom trendsPrevalenceRepresentative longitudinal surveyCreating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership
FitzHenry F, Resnic F, Robbins S, Denton J, Nookala L, Meeker D, Ohno-Machado L, Matheny M. Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership. Applied Clinical Informatics 2015, 06: 536-547. PMID: 26448797, PMCID: PMC4586341, DOI: 10.4338/aci-2014-12-cr-0121.Peer-Reviewed Original ResearchConceptsOMOP Common Data ModelPerson monthsHealth systemCount of medicationsMore outpatient visitsHealth system databaseMedication administration recordsComparative effectiveness analysisObservational Medical Outcomes Partnership (OMOP) CDMPharmacy fillsEligible cohortOutpatient visitsHigh prevalenceMedicationsComparative effectivenessAdministration recordsCommon data modelCohortMini-SentinelObservational Medical Outcomes PartnershipMonths
2014
Time of Day and the Decision to Prescribe Antibiotics
Linder J, Doctor J, Friedberg M, Nieva H, Birks C, Meeker D, Fox C. Time of Day and the Decision to Prescribe Antibiotics. JAMA Internal Medicine 2014, 174: 2029-2031. PMID: 25286067, PMCID: PMC4648561, DOI: 10.1001/jamainternmed.2014.5225.Peer-Reviewed Original ResearchNudging Physician Prescription Decisions by Partitioning the Order Set: Results of a Vignette-Based Study
Tannenbaum D, Doctor J, Persell S, Friedberg M, Meeker D, Friesema E, Goldstein N, Linder J, Fox C. Nudging Physician Prescription Decisions by Partitioning the Order Set: Results of a Vignette-Based Study. Journal Of General Internal Medicine 2014, 30: 298-304. PMID: 25394536, PMCID: PMC4351289, DOI: 10.1007/s11606-014-3051-2.Peer-Reviewed Original ResearchConceptsEHR order setsPrimary care providersElectronic health recordsNarrow-spectrum antibioticsOrder setsTreatment menuTreatment choiceCare providersMain MeasuresThe main outcomeAggressive treatment optionsAcute respiratory infectionsPhysician prescription decisionsBroad-spectrum antibioticsRespiratory infectionsPrescribing practicesCounter medicationsTreatment optionsPrescription decisionsMAIN OUTCOMEPatient careTypical signsBackgroundHealthcare professionalsPrescription drugsProvider decisionsAggressive options