2023
Association of adherence to individual components of Society of Thoracic Surgeons cardiac surgery antibiotic guidelines and postoperative infections
Bardia A, Michel G, Farela A, Fisher C, Mori M, Huttler J, Lang A, Geirsson A, Schonberger R. Association of adherence to individual components of Society of Thoracic Surgeons cardiac surgery antibiotic guidelines and postoperative infections. Journal Of Thoracic And Cardiovascular Surgery 2023, 167: 2170-2176.e5. PMID: 37075942, PMCID: PMC10579454, DOI: 10.1016/j.jtcvs.2023.03.031.Peer-Reviewed Original ResearchWeight-adjusted dosingPostoperative infectionAntibiotic guidelinesIncidence of nonadherenceCoronary artery bypassTertiary care hospitalAssociation of adherenceCohort of patientsRetrospective observational studyPost-operative infectionIntraoperative redosingValvular surgeryAntibiotic timingArtery bypassCoronary revascularizationPostoperative complicationsPostoperative sepsisAdult patientsFirst doseAntibiotic choiceCardiac surgeryCardiopulmonary bypassCare hospitalDose adjustmentPrimary outcome
2022
Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study
Bardia A, Deshpande R, Michel G, Yanez D, Dai F, Pace NL, Schuster K, Mathis MR, Kheterpal S, Schonberger RB. Demonstration and Performance Evaluation of Two Novel Algorithms for Removing Artifacts From Automated Intraoperative Temperature Data Sets: Multicenter, Observational, Retrospective Study. JMIR Perioperative Medicine 2022, 5: e37174. PMID: 36197702, PMCID: PMC9591708, DOI: 10.2196/37174.Peer-Reviewed Original ResearchAssociation of propofol induction dose and severe pre-incision hypotension among surgical patients over age 65
Schonberger RB, Dai F, Michel G, Vaughn MT, Burg MM, Mathis M, Kheterpal S, Akhtar S, Shah N, Bardia A. Association of propofol induction dose and severe pre-incision hypotension among surgical patients over age 65. Journal Of Clinical Anesthesia 2022, 80: 110846. PMID: 35489305, PMCID: PMC11150018, DOI: 10.1016/j.jclinane.2022.110846.Peer-Reviewed Original ResearchConceptsPropofol induction doseGeneral anesthetic inductionSevere hypotensionInduction doseBlood pressure measurementsYears of ageSurgical patientsEndotracheal intubationAnesthetic inductionInvasive blood pressure measurementsGeriatric surgical patientsNon-vascular surgeryDose of propofolNon-invasive blood pressure measurementBlood pressure dropSignificant independent associationPostoperative morbidityRetrospective observationalTotal patientsMulticenter cohortPrimary outcomeAnesthesia inductionPrimary exposureIndependent associationSurgical incision
2021
Adherence to Guidelines for the Administration of Intraoperative Antibiotics in a Nationwide US Sample
Bardia A, Treggiari MM, Michel G, Dai F, Tickoo M, Wai M, Schuster K, Mathis M, Shah N, Kheterpal S, Schonberger RB. Adherence to Guidelines for the Administration of Intraoperative Antibiotics in a Nationwide US Sample. JAMA Network Open 2021, 4: e2137296. PMID: 34905007, PMCID: PMC8672234, DOI: 10.1001/jamanetworkopen.2021.37296.Peer-Reviewed Original ResearchConceptsSurgical site infectionAntibiotic prophylaxis guidelinesWeight-adjusted dosingInfectious Diseases SocietyAntibiotic choiceProphylaxis guidelinesCohort studyDiseases SocietyOverall adherenceFuture quality improvement effortsStudy periodAntibiotic administration guidelinesPrimary end pointTiming of administrationGynecological surgical proceduresQuality improvement effortsIntraoperative antibioticsOverall nonadherenceNoncardiac surgeryAdult patientsEmergency surgeryFirst doseGuideline adherenceSurgical encountersAmerica guidelinesVariation in propofol induction doses administered to surgical patients over age 65
Schonberger RB, Bardia A, Dai F, Michel G, Yanez D, Curtis JP, Vaughn MT, Burg MM, Mathis M, Kheterpal S, Akhtar S, Shah N. Variation in propofol induction doses administered to surgical patients over age 65. Journal Of The American Geriatrics Society 2021, 69: 2195-2209. PMID: 33788251, PMCID: PMC8373684, DOI: 10.1111/jgs.17139.Peer-Reviewed Original ResearchConceptsPropofol induction dosesInduction dosesEndotracheal intubationGeneral anesthetic inductionPropofol induction dosePercent of patientsRetrospective observational studyLarge multicenter cohortSurgical patientsMulticenter cohortPropofol doseBolus doseGeneral anesthesiaInduction dosePropofol inductionPresent studyAnesthetic inductionDose administrationAdvanced agePatient variablesObservational studyProvider practicesAnaesthetic practiceClinical consequencesDosing decisions
2020
Prevalence of aberrant blood pressure readings across two automated intraoperative blood pressure monitoring systems among patients undergoing caesarean delivery.
Schonberger RB, Gonzalez-Fiol A, Fardelmann KL, Bardia A, Michel G, Dai F, Banack T, Alian A. Prevalence of aberrant blood pressure readings across two automated intraoperative blood pressure monitoring systems among patients undergoing caesarean delivery. Blood Pressure Monitoring 2020, 26: 78-83. PMID: 33234814, PMCID: PMC8715608, DOI: 10.1097/mbp.0000000000000495.Peer-Reviewed Original ResearchConceptsBlood pressure readingsCaesarean deliveryBP readingsMultivariable logistic regression analysisPressure readingsCesarean delivery patientsComparable patient cohortsIntraoperative blood pressureRetrospective observational studySame surgical procedurePre-specified covariatesLogistic regression analysisBlood pressureDelivery patientsSimilar patientsPatient cohortSurgical centersBP measurementsBP monitoring systemObservational studyBP monitorInclusion criteriaSurgical proceduresRelative oddsPatientsAn Analysis of Anesthesia Induction Dosing in Female Older Adults
Chen EY, Michel G, Zhou B, Dai F, Akhtar S, Schonberger RB. An Analysis of Anesthesia Induction Dosing in Female Older Adults. Drugs & Aging 2020, 37: 435-446. PMID: 32300966, PMCID: PMC7359723, DOI: 10.1007/s40266-020-00760-3.Peer-Reviewed Original ResearchConceptsAcute kidney injuryPostinduction hypotensionGeneral anesthesiaPresent cohortPostoperative acute kidney injuryLarge tertiary teaching hospitalOlder adultsFrailty of patientsGynecologic oncology surgeryImmediate hemodynamic effectsPropofol induction dosesPercentage of patientsRetrospective observational studyTertiary teaching hospitalPerioperative vital signsHigher propofol dosesFemale older adultsAKI associationInotrope administrationKidney injurySurgical populationHemodynamic effectsDose adjustmentPrimary outcomeFemale patients
2019
Preference Phenotypes in Support of Shared Decision–Making at Point‐of‐Care for Patients With Rheumatoid Arthritis: A Proof‐of‐Concept Study
Hsiao B, Binder‐Finnema P, Nowell W, Michel G, Wiedmeyer C, Fraenkel L. Preference Phenotypes in Support of Shared Decision–Making at Point‐of‐Care for Patients With Rheumatoid Arthritis: A Proof‐of‐Concept Study. Arthritis Care & Research 2019, 71: 629-637. PMID: 29953733, PMCID: PMC6310675, DOI: 10.1002/acr.23684.Peer-Reviewed Original ResearchConceptsDisease-modifying antirheumatic drugsNew disease-modifying antirheumatic drugsValues clarification toolPost-test visitsMore disease-modifying antirheumatic drugsTest visitsPretest/post-test studyAntirheumatic drugsMore patientsOutpatient visitsRheumatoid arthritisConcept studyPost-test studyPatientsPatient valuesSD lengthPost-test phaseVisitsActive RAVisit timeCarePretest phaseEscalation decisionsPreference phenotypesPhenotypeImpact of Information Presentation Format on Preference for Total Knee Replacement Surgery
Fraenkel L, Nowell WB, Stake CE, Venkatachalam S, Eyler R, Michel G, Peters E. Impact of Information Presentation Format on Preference for Total Knee Replacement Surgery. Arthritis Care & Research 2019, 71: 379-384. PMID: 29799668, PMCID: PMC6252282, DOI: 10.1002/acr.23605.Peer-Reviewed Original Research
2017
Preference phenotypes to facilitate shared decision-making in rheumatoid arthritis
Fraenkel L, Nowell WB, Michel G, Wiedmeyer C. Preference phenotypes to facilitate shared decision-making in rheumatoid arthritis. Annals Of The Rheumatic Diseases 2017, 77: 678. PMID: 29247126, PMCID: PMC5898982, DOI: 10.1136/annrheumdis-2017-212407.Peer-Reviewed Original ResearchConceptsBothersome side effectsRare side effectRheumatoid arthritisSide effectsSerious infectionsOnset of actionJanus kinase inhibitorPreferences of patientsMethotrexate monotherapyTriple therapyParenteral medicationsPoint of careTreatment preferencesGroup 2Patient valuesPatientsGroup 4Target strategyGroup 5Kinase inhibitorsConjoint analysis surveyLatent class analysisLarge groupArthritisMedicationsAB0370 Development of patient preference phenotypes for rheumatoid arthritis
Nowell W, Wiedmeyer C, Herath G, Michel G, Fraenkel L. AB0370 Development of patient preference phenotypes for rheumatoid arthritis. Annals Of The Rheumatic Diseases 2017, 76: 1177. DOI: 10.1136/annrheumdis-2017-eular.5024.Peer-Reviewed Original ResearchRheumatoid arthritisPatient preferencesRA patients’ preferencesPatient-physician dyadPreference-sensitive decisionsImportant treatment decisionsOnline patient communityMethotrexate monotherapyRA medicationsTriple therapyClinical characteristicsMean ageTreatment optionsTreatment decisionsPatient feedbackPatient communityPatientsConjoint analysis surveyImportant quality measureLatent class analysisCareArthritisPreference phenotypesDistinct phenotypesPhenotype
2012
Building better guidelines with BRIDGE-Wiz: development and evaluation of a software assistant to promote clarity, transparency, and implementability
Shiffman RN, Michel G, Rosenfeld RM, Davidson C. Building better guidelines with BRIDGE-Wiz: development and evaluation of a software assistant to promote clarity, transparency, and implementability. Journal Of The American Medical Informatics Association 2012, 19: 94-101. PMID: 21846779, PMCID: PMC3240753, DOI: 10.1136/amiajnl-2011-000172.Peer-Reviewed Original Research
2011
GEM at 10: a decade's experience with the Guideline Elements Model.
Hajizadeh N, Kashyap N, Michel G, Shiffman RN. GEM at 10: a decade's experience with the Guideline Elements Model. AMIA Annual Symposium Proceedings 2011, 2011: 520-8. PMID: 22195106, PMCID: PMC3243287.Peer-Reviewed Original Research
2010
How “should” we write guideline recommendations? Interpretation of deontic terminology in clinical practice guidelines: survey of the health services community
Lomotan EA, Michel G, Lin Z, Shiffman RN. How “should” we write guideline recommendations? Interpretation of deontic terminology in clinical practice guidelines: survey of the health services community. BMJ Quality & Safety 2010, 19: 509. PMID: 20702437, PMCID: PMC2982946, DOI: 10.1136/qshc.2009.032565.Peer-Reviewed Original ResearchConceptsClinical practice guidelinesPractice guidelinesHealth services communityGuideline authorsCross-sectional electronic surveyGuideline recommendationsRecommendation strengthClinical scenariosGuideline developersHealthcare ResearchPractice recommendationsInterquartile rangeElectronic surveyGuidelinesUS AgencyLow levelsVariable levelsParticipantsHigh levelsWriting Clinical Practice Guidelines in Controlled Natural Language
Shiffman R, Michel G, Krauthammer M, Fuchs N, Kaljurand K, Kuhn T. Writing Clinical Practice Guidelines in Controlled Natural Language. Lecture Notes In Computer Science 2010, 5972: 265-280. DOI: 10.1007/978-3-642-14418-9_16.Peer-Reviewed Original Research
2009
Embedding the guideline elements model in web ontology language.
Tran N, Michel G, Krauthammer M, Shiffman RN. Embedding the guideline elements model in web ontology language. AMIA Annual Symposium Proceedings 2009, 2009: 645-9. PMID: 20351934, PMCID: PMC2815420.Peer-Reviewed Original ResearchConceptsWeb Ontology LanguageGuideline Elements ModelOntology LanguageKnowledge modelSemantic Web ontology languagesMedical informatics systemsClinical decision support systemDecision support systemSemantic WebOWL representationKnowledge representationRepresentation formatHeterogeneous knowledgeMedical informaticsInformatics systemsSupport systemXMLImportant applicationsOwlsLanguageRepresentationOntologyComputerInformaticsWebThe Yale Guideline Recommendation Corpus: A representative sample of the knowledge content of guidelines
Hussain T, Michel G, Shiffman RN. The Yale Guideline Recommendation Corpus: A representative sample of the knowledge content of guidelines. International Journal Of Medical Informatics 2009, 78: 354-363. PMID: 19131270, DOI: 10.1016/j.ijmedinf.2008.11.001.Peer-Reviewed Original Research
2008
How often is strength of recommendation indicated in guidelines? Analysis of the Yale Guideline Recommendation Corpus.
Hussain T, Michel G, Shiffman RN. How often is strength of recommendation indicated in guidelines? Analysis of the Yale Guideline Recommendation Corpus. AMIA Annual Symposium Proceedings 2008, 984. PMID: 18998809.Peer-Reviewed Original ResearchDeveloping a decision support system for tobacco use counselling using primary care physicians.
Marcy TW, Kaplan B, Connolly SW, Michel G, Shiffman RN, Flynn BS. Developing a decision support system for tobacco use counselling using primary care physicians. BMJ Health & Care Informatics 2008, 16: 101-9. PMID: 18713526, PMCID: PMC2706833, DOI: 10.14236/jhi.v16i2.681.Peer-Reviewed Original ResearchConceptsClinical decision support systemDecision support systemPrimary care physiciansPrimary care clinicsCDSS prototypeCare physiciansSupport systemPrototype clinical decision support systemCare clinicsClinical testingIterative design changesRoutine patient visitsUsability testingMultiple evaluation methodsDesign flawsComplex environmentsCessation interventionsClinical environmentClinical trialsPatient visitsAmbulatory clinicsIndividual patientsPhysician preferencePhysiciansClinic managers
2005
The GuideLine Implementability Appraisal (GLIA): development of an instrument to identify obstacles to guideline implementation
Shiffman RN, Dixon J, Brandt C, Essaihi A, Hsiao A, Michel G, O'Connell R. The GuideLine Implementability Appraisal (GLIA): development of an instrument to identify obstacles to guideline implementation. BMC Medical Informatics And Decision Making 2005, 5: 23. PMID: 16048653, PMCID: PMC1190181, DOI: 10.1186/1472-6947-5-23.Peer-Reviewed Original ResearchConceptsGuideLine Implementability AppraisalGuideline implementationBackgroundClinical practice guidelinesProcess of careDraft guidelinesClinical guidelinesPractice guidelinesNational professional societiesGuideline developersHealth outcomesClinician behaviorFurther evaluationContent validityConstruct validityImplementable recommendationsImplementable guidelinesPreliminary supportGuidelinesOutcomesExpert reviewProfessional societiesPotential benefitsMeasurable outcomesImplementation strategies