2024
OpenSAFELY: A platform for analysing electronic health records designed for reproducible research
Nab L, Schaffer A, Hulme W, DeVito N, Dillingham I, Wiedemann M, Andrews C, Curtis H, Fisher L, Green A, Massey J, Walters C, Higgins R, Cunningham C, Morley J, Mehrkar A, Hart L, Davy S, Evans D, Hickman G, Inglesby P, Morton C, Smith R, Ward T, O'Dwyer T, Maude S, Bridges L, Butler‐Cole B, Stables C, Stokes P, Bates C, Cockburn J, Hester F, Parry J, Bhaskaran K, Schultze A, Rentsch C, Mathur R, Tomlinson L, Williamson E, Smeeth L, Walker A, Bacon S, MacKenna B, Goldacre B. OpenSAFELY: A platform for analysing electronic health records designed for reproducible research. Pharmacoepidemiology And Drug Safety 2024, 33: e5815-e5815. PMID: 38783412, PMCID: PMC7616137, DOI: 10.1002/pds.5815.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19Electronic Health RecordsHumansReproducibility of ResultsResearch DesignSoftwareConceptsElectronic health recordsHealth recordsComputing environmentProgram codeSoftware platformAdministrative health dataAnalysis environmentAudit trailReproducibility of researchReproducible researchData preparationPublic sharingPublic health guidanceHealth dataHealth guidanceCodeOpenSAFELYTechnical solutionsPlatformPromote trustCOVID-19 pandemicIncrease transparencyCode-sharingWorkflowData
2023
Enhanced Identification of Hispanic Ethnicity Using Clinical Data
Ochoa-Allemant P, Tate J, Williams E, Gordon K, Marconi V, Bensley K, Rentsch C, Wang K, Taddei T, Justice A, Cohorts F. Enhanced Identification of Hispanic Ethnicity Using Clinical Data. Medical Care 2023, 61: 200-205. PMID: 36893404, PMCID: PMC10114212, DOI: 10.1097/mlr.0000000000001824.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesDelivery of Health CareElectronic Health RecordsEthnicityHispanic or LatinoHumansMedicareUnited StatesUnited States Department of Veterans AffairsConceptsBurden of diseaseHispanic patientsCountry of birthClinical dataHispanic ethnicityNon-Hispanic white patientsSex-adjusted prevalenceChronic liver diseaseHuman immunodeficiency virusDemographic characteristicsElectronic health record dataHealth careHealth record dataPrevalence of conditionsUS health care systemMedicare administrative dataHealth care systemWhite patientsLiver diseaseImmunodeficiency virusSelf-reported ethnicityHigh prevalenceGastric cancerHepatocellular carcinomaVeteran population
2022
Are infections associated with cognitive decline and neuroimaging outcomes? A historical cohort study using data from the UK Biobank study linked to electronic health records
Muzambi R, Bhaskaran K, Rentsch C, Smeeth L, Brayne C, Garfield V, Williams D, Chaturvedi N, Warren-Gash C. Are infections associated with cognitive decline and neuroimaging outcomes? A historical cohort study using data from the UK Biobank study linked to electronic health records. Translational Psychiatry 2022, 12: 385. PMID: 36109502, PMCID: PMC9478085, DOI: 10.1038/s41398-022-02145-z.Peer-Reviewed Original ResearchConceptsCognitive declineWhite matter hyperintensity volumeSecondary care recordsAssociation of infectionHistory of infectionPotential structural correlatesEvidence of associationCommon infectionsDementia riskHyperintensity volumeInfection diagnosisCare recordsCognitive impairmentLinear mixed effects modelsCognitive functionVolunteer cohortInfectionMixed effects modelsStructural correlatesUK BiobankLinear regression modelsAssociationEffects modelRegression modelsVisual memoryAssociation of topiramate prescribed for any indication with reduced alcohol consumption in electronic health record data
Kranzler HR, Leong SH, Naps M, Hartwell EE, Fiellin DA, Rentsch CT. Association of topiramate prescribed for any indication with reduced alcohol consumption in electronic health record data. Addiction 2022, 117: 2826-2836. PMID: 35768956, PMCID: PMC10317468, DOI: 10.1111/add.15980.Peer-Reviewed Original ResearchConceptsAUDIT-C scoresAlcohol use disorderElectronic health record dataHealth record dataUse disordersNEG patientsTopiramate dosageAlcohol Use Disorders Identification Test-Consumption scoresPropensity score-matched groupsHistory of AUDParallel group comparisonPropensity score-matched comparison groupRecord dataBaseline drinking levelsReduced alcohol consumptionHealth care systemTopiramate prescriptionsPre-post differencesAUD historyTopiramate's effectsPatientsRecord diagnosisAlcohol consumptionTopiramateComparison groupLong COVID burden and risk factors in 10 UK longitudinal studies and electronic health records
Thompson EJ, Williams DM, Walker AJ, Mitchell RE, Niedzwiedz CL, Yang TC, Huggins CF, Kwong ASF, Silverwood RJ, Di Gessa G, Bowyer RCE, Northstone K, Hou B, Green MJ, Dodgeon B, Doores KJ, Duncan EL, Williams FMK, Steptoe A, Porteous D, McEachan R, Tomlinson L, Goldacre B, Patalay P, Ploubidis G, Katikireddi S, Tilling K, Rentsch C, Timpson N, Chaturvedi N, Steves C. Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records. Nature Communications 2022, 13: 3528. PMID: 35764621, PMCID: PMC9240035, DOI: 10.1038/s41467-022-30836-0.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19Electronic Health RecordsFemaleHumansLongitudinal StudiesPost-Acute COVID-19 SyndromeRisk FactorsSurveys and QuestionnairesUnited KingdomConceptsLong COVIDRisk factorsCardio-metabolic parametersOverweight/obesityElectronic healthcare recordsCOVID-19Community-based individualsSelf-reported COVID-19Electronic health recordsLongitudinal study sampleProlonged symptomsCOVID-19 casesFemale sexDiagnostic codesWhite ethnicityUK longitudinal studyMental healthHealth recordsStudy sampleEHR dataLongitudinal studySymptomsHealthcare recordsSpring 2021BurdenISPE‐Endorsed Guidance in Using Electronic Health Records for Comparative Effectiveness Research in COVID‐19: Opportunities and Trade‐Offs
Sarri G, Bennett D, Debray T, Deruaz‐Luyet A, Gabarró M, Largent JA, Li X, Liu W, Lund JL, Moga DC, Gokhale M, Rentsch CT, Wen X, Yanover C, Ye Y, Yun H, Zullo AR, Lin KJ. ISPE‐Endorsed Guidance in Using Electronic Health Records for Comparative Effectiveness Research in COVID‐19: Opportunities and Trade‐Offs. Clinical Pharmacology & Therapeutics 2022, 112: 990-999. PMID: 35170021, PMCID: PMC9087010, DOI: 10.1002/cpt.2560.Peer-Reviewed Original ResearchMeSH KeywordsComparative Effectiveness ResearchCOVID-19Electronic Health RecordsHumansPandemicsPharmacoepidemiologyConceptsComparative effectiveness researchElectronic health recordsRoutine careCOVID-19Health recordsCoronavirus disease 2019 (COVID-19) pandemicLong-term treatment effectsEHR dataEffectiveness researchDisease 2019 pandemicRigorous study designsCOVID-19-related questionsAscertainment of outcomesVaccine effectivenessComplex patientsExposure statusHealthcare databasesTherapeutic interventionsOptimal managementHealthcare professionalsClinical researchStudy designTreatment effectsAppropriate statistical methodsInternational Society
2021
Social determinants of pertussis and influenza vaccine uptake in pregnancy: a national cohort study in England using electronic health records
Walker JL, Rentsch CT, McDonald HI, Bak J, Minassian C, Amirthalingam G, Edelstein M, Thomas S. Social determinants of pertussis and influenza vaccine uptake in pregnancy: a national cohort study in England using electronic health records. BMJ Open 2021, 11: e046545. PMID: 34155074, PMCID: PMC8217954, DOI: 10.1136/bmjopen-2020-046545.Peer-Reviewed Original ResearchConceptsPertussis vaccine uptakeVaccine uptakeNon-white ethnicityPregnant womenEligible pregnanciesSocial determinantsCohort studyNationwide population-based cohort studyClinical Practice Research DatalinkPopulation-based cohort studyGreater deprivationCare dataLow vaccine uptakeInfluenza vaccine uptakeSecondary care dataNational cohort studyPrimary care dataVaccine-preventable diseasesLow uptakeVaccine promotion strategiesElectronic health recordsInfluenza vaccinationMaternal ageSuccessive pregnanciesVaccination promotionUK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records
Walker JL, Grint DJ, Strongman H, Eggo RM, Peppa M, Minassian C, Mansfield KE, Rentsch CT, Douglas IJ, Mathur R, Wong AYS, Quint JK, Andrews N, Bernal JL, Scott JA, Ramsay M, Smeeth L, McDonald HI. UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records. BMC Public Health 2021, 21: 484. PMID: 33706738, PMCID: PMC7948667, DOI: 10.1186/s12889-021-10427-2.Peer-Reviewed Original ResearchConceptsSevere COVID-19Health conditionsElectronic health recordsHigh riskRisk populationsCOVID-19Clinical Practice Research Datalink GOLDSevere COVID-19 diseaseSecondary care recordsChronic kidney diseaseHealth recordsChronic liver diseasePoint prevalence studyBinomial exact confidence intervalsOlder age groupsPublic health interventionsWorking-aged individualsCOVID-19 diseaseWorking-aged adultsUK prevalenceCurrent asthmaLiver diseaseCancer survivorsPoint prevalenceKidney disease
2020
Risk of COVID-19-related death among patients with chronic obstructive pulmonary disease or asthma prescribed inhaled corticosteroids: an observational cohort study using the OpenSAFELY platform
Schultze A, Walker AJ, MacKenna B, Morton CE, Bhaskaran K, Brown JP, Rentsch CT, Williamson E, Drysdale H, Croker R, Bacon S, Hulme W, Bates C, Curtis HJ, Mehrkar A, Evans D, Inglesby P, Cockburn J, McDonald HI, Tomlinson L, Mathur R, Wing K, Wong AYS, Forbes H, Parry J, Hester F, Harper S, Evans SJW, Quint J, Smeeth L, Douglas IJ, Goldacre B, Collaborative O. Risk of COVID-19-related death among patients with chronic obstructive pulmonary disease or asthma prescribed inhaled corticosteroids: an observational cohort study using the OpenSAFELY platform. The Lancet Respiratory Medicine 2020, 8: 1106-1120. PMID: 32979987, PMCID: PMC7515601, DOI: 10.1016/s2213-2600(20)30415-x.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAdolescentAdrenal Cortex HormonesAdultAgedAged, 80 and overAsthmaBetacoronavirusCohort StudiesCoronavirus InfectionsCOVID-19Electronic Health RecordsEnglandFemaleHumansMaleMiddle AgedMuscarinic AntagonistsPandemicsPneumonia, ViralProportional Hazards ModelsPulmonary Disease, Chronic ObstructiveRegression AnalysisSARS-CoV-2Young AdultConceptsChronic obstructive pulmonary diseaseCOVID-19-related deathsIndex dateObstructive pulmonary diseaseElectronic health recordsOpenSAFELY platformRespiratory medicationsCOPD cohortHazard ratioPulmonary diseaseAsthma cohortPrimary care electronic health recordsSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Respiratory syndrome coronavirus 2High-dose ICSHigh-dose ICSsRegular ICS useΒ-agonistsObservational cohort studyUK Medical Research CouncilRisk of deathCox regression modelAcute respiratory diseaseSyndrome coronavirus 2
2018
Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection
Rentsch CT, Cartwright EJ, Gandhi NR, Brown ST, Rodriguez-Barradas MC, Goetz MB, Marconi VC, Gibert CL, Re VL, Fiellin DA, Justice AC, Tate JP. Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection. Annals Of Epidemiology 2018, 28: 808-811. PMID: 30195616, PMCID: PMC6318448, DOI: 10.1016/j.annepidem.2018.08.007.Peer-Reviewed Original ResearchConceptsHepatitis C virus infectionCorporate Data WarehouseChronic HCV infectionC virus infectionPositive predictive valuePredictive valueHCV infectionHCV treatmentVirus infectionVeterans Health Administration Corporate Data WarehouseChronic hepatitis C virus (HCV) infectionStudy periodModern treatment eraRetrospective cohort studyElectronic health record dataPharmacy fill recordsHealth record dataNegative predictive valueElectronic health recordsAntiviral regimenHCV therapyTreatment eraChart reviewCohort studyAntiviral treatment