2017
Hospital teaching status and trascatheter aortic valve replacement outcomes in the United States: Analysis of the national inpatient sample
Telila T, Akintoye E, Ando T, Merid O, Palla M, Mallikethi‐Reddy S, Briasoulis A, Grines C, Afonso L. Hospital teaching status and trascatheter aortic valve replacement outcomes in the United States: Analysis of the national inpatient sample. Catheterization And Cardiovascular Interventions 2017, 90: 1200-1205. PMID: 28795480, DOI: 10.1002/ccd.27236.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overChi-Square DistributionDatabases, FactualFemaleHealthcare DisparitiesHospital CostsHospital MortalityHospitals, TeachingHumansLength of StayLinear ModelsLogistic ModelsMaleMultivariate AnalysisOdds RatioPostoperative ComplicationsProcess Assessment, Health CareRegistriesRisk FactorsTime FactorsTranscatheter Aortic Valve ReplacementTreatment OutcomeUnited StatesConceptsTranscatheter aortic valve replacementAcute kidney injuryNational Inpatient SampleHospital teaching statusHospital mortalityTeaching statusInpatient SampleMechanical circulatory support devicesAortic valve replacementProcedure-related complicationsShort-term outcomesMechanical circulatory supportLength of stayCirculatory support devicesICD-9 codingHospital stayKidney injurySecondary outcomesValve replacementPrimary outcomeTAVR proceduresClinical outcomesCirculatory supportMean agePatient outcomes
2015
ICD-9 diagnosis codes have poor sensitivity for identification of preexisting comorbidities in traumatic fracture patients
Samuel AM, Lukasiewicz AM, Webb ML, Bohl DD, Basques BA, Davis KA, Grauer JN. ICD-9 diagnosis codes have poor sensitivity for identification of preexisting comorbidities in traumatic fracture patients. Journal Of Trauma And Acute Care Surgery 2015, 79: 622-630. PMID: 26402537, DOI: 10.1097/ta.0000000000000805.Peer-Reviewed Original ResearchConceptsICD-9 diagnosis codesNational Trauma Data BankInjury Severity ScoreProximal tibia fracturesBilling codesTibia fracturesDiagnosis codesOdds ratioSurgeons National Trauma Data BankICD-9 billing codesTraumatic fracture patientsPrevious myocardial infarctionTrauma Data BankICD-9 diagnosisMultivariate logistic regressionLarge national databaseICD-9 codingAdministrative billing codesFracture patientsIndividual comorbiditiesPatient comorbiditiesComorbidity diagnosesProspective studyTrauma populationMyocardial infarction
2014
Administrative Database Concerns
Golinvaux NS, Bohl DD, Basques BA, Grauer JN. Administrative Database Concerns. Spine 2014, 39: 2019-2023. PMID: 25202941, DOI: 10.1097/brs.0000000000000598.Peer-Reviewed Original ResearchConceptsICD-9 codesCross-sectional studyPreoperative anemiaICD-9 codingPreoperative hematocritNationwide Inpatient SampleNinth Revision codesAcademic medical centerNegative predictive valueAdditional comorbiditiesRevision codesInpatient SampleAdministrative databasesSpine surgerySpinal fusionBACKGROUND DATAMedical CenterInternational ClassificationICD-9Normal rangePatientsPredictive valueLarger sample sizeAnemiaNational database
2012
Physician Detection of Unhealthy Substance Use on Inpatient Teaching and Hospitalist Medical Services
Holt SR, Ramos J, Harma M, Cabrera F, Louis-Ashby C, Dinh A, Fiellin DA, Tetrault JM. Physician Detection of Unhealthy Substance Use on Inpatient Teaching and Hospitalist Medical Services. The American Journal Of Drug And Alcohol Abuse 2012, 39: 121-129. PMID: 22992028, DOI: 10.3109/00952990.2012.715703.Peer-Reviewed Original ResearchConceptsUnhealthy substance useAlcohol Use Disorders Identification Test-ConsumptionDrug Abuse Screening TestHospitalist serviceSubstance useScreening testSubstance Involvement Screening TestPhysicians' detection ratesUnhealthy drug useMedical record reviewTeaching serviceCommunity teaching hospitalMedical servicesCross-sectional studyICD-9 codingRate of detectionAbuse Screening TestEligible patientsMedicine admissionsCurrent smokersRecord reviewDetection ratePhysician detectionTeaching hospitalPhysician documentationDescribing the content of primary care: limitations of Canadian billing data
Katz A, Halas G, Dillon M, Sloshower J. Describing the content of primary care: limitations of Canadian billing data. BMC Primary Care 2012, 13: 7. PMID: 22335900, PMCID: PMC3305652, DOI: 10.1186/1471-2296-13-7.Peer-Reviewed Original ResearchConceptsPrimary care clinical encountersPrimary care encountersData collection formFirst Canadian studyClinical encountersPrimary careCare encountersPatient encountersCollection formPrimary care reform initiativesWay family physiciansPrimary care physiciansPrimary care dataICD-9 codesFamily practice clinicComprehensive patient careComplexity of careICD-9 codingCanadian StudyICD-9 coding systemPhysician-patient interactionHealth care systemCare physiciansPractice clinicsDiagnostic codes
2010
Does Deep Venous Thrombosis as Primary Admitting Diagnosis Represent Different Etiologies and Disease Processes as Compared to DVT as Secondary Diagnoses (SD)?
Viswanathan P, Gandhi T, Krishnamurti L. Does Deep Venous Thrombosis as Primary Admitting Diagnosis Represent Different Etiologies and Disease Processes as Compared to DVT as Secondary Diagnoses (SD)? Blood 2010, 116: 1540. DOI: 10.1182/blood.v116.21.1540.1540.Peer-Reviewed Original ResearchDeep venous thrombosisCongestive heart failureSecondary diagnosisPrimary diagnosisDisease processHeart failureVenous thrombosisVenous catheterizationAtrial fibrillationEndotracheal intubationInvasive proceduresDiagnosis of DVTPacked red cell transfusionNational Inpatient Sample databaseSerious medical morbidityRed cell transfusionUrinary tract infectionAge group 45Serious medical illnessTime of admissionICD-9 codesICD-9 codingCell transfusionInitial admissionTract infections
2007
Gender Differences in Health Care Utilization Among Veterans with Chronic Pain
Kaur S, Stechuchak KM, Coffman CJ, Allen KD, Bastian LA. Gender Differences in Health Care Utilization Among Veterans with Chronic Pain. Journal Of General Internal Medicine 2007, 22: 228. PMID: 17356991, PMCID: PMC1824743, DOI: 10.1007/s11606-006-0048-5.Peer-Reviewed Original ResearchConceptsChronic painWomen veteransOutpatient visitsDurham Veterans Affairs Medical CenterVeterans Affairs Medical CenterMultiple pain sitesHigh rateChronic pain conditionsOutpatient service useHealth care utilizationICD-9 codingPain sitesClinic visitsPain locationPain conditionsCare utilizationOutpatient utilizationPrimary carePhysical therapyMedical CenterPainMale veteransService usePsychiatric diagnosisVeteran population
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