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 ResearchConceptsElectronic 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
2022
Potentially inappropriate medication use by level of polypharmacy among US Veterans 49–64 and 65–70 years old
Guillot J, Rentsch CT, Gordon KS, Justice AC, Bezin J. Potentially inappropriate medication use by level of polypharmacy among US Veterans 49–64 and 65–70 years old. Pharmacoepidemiology And Drug Safety 2022, 31: 1056-1074. PMID: 35780391, PMCID: PMC9464694, DOI: 10.1002/pds.5506.Peer-Reviewed Original ResearchConceptsLevel of polypharmacyRace/ethnicityPIM prevalencePrevalence of PIMsInappropriate medication useElectronic health recordsCommon PIMsPharmacy fillsPROMPT criteriaInappropriate medicationsOlder patientsMedication usePsychotropic medicationsRefill recordsPolypharmacyPatientsVeterans AffairsMedicationsPrevalenceHealth recordsFiscal year 2016AgeMeaningful differencesSexTarget ageLong 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 ResearchConceptsLong 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 ResearchConceptsComparative 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
Identifying Care Home Residents in Electronic Health Records - An OpenSAFELY Short Data Report
Schultze A, Bates C, Cockburn J, MacKenna B, Nightingale E, Curtis HJ, Hulme WJ, Morton CE, Croker R, Bacon S, McDonald HI, Rentsch CT, Bhaskaran K, Mathur R, Tomlinson LA, Williamson EJ, Forbes H, Tazare J, Grint DJ, Walker AJ, Inglesby P, DeVito NJ, Mehrkar A, Hickman G, Davy S, Ward T, Fisher L, Evans D, Wing K, Wong AY, McManus R, Parry J, Hester F, Harper S, Evans SJ, Douglas IJ, Smeeth L, Eggo RM, Goldacre B. Identifying Care Home Residents in Electronic Health Records - An OpenSAFELY Short Data Report. Wellcome Open Research 2021, 6: 90. PMID: 34471703, PMCID: PMC8374378, DOI: 10.12688/wellcomeopenres.16737.1.Peer-Reviewed Original ResearchUK 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
Factors associated with COVID-19-related death using OpenSAFELY
Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, Curtis HJ, Mehrkar A, Evans D, Inglesby P, Cockburn J, McDonald HI, MacKenna B, Tomlinson L, Douglas IJ, Rentsch CT, Mathur R, Wong AYS, Grieve R, Harrison D, Forbes H, Schultze A, Croker R, Parry J, Hester F, Harper S, Perera R, Evans SJW, Smeeth L, Goldacre B. Factors associated with COVID-19-related death using OpenSAFELY. Nature 2020, 584: 430-436. PMID: 32640463, PMCID: PMC7611074, DOI: 10.1038/s41586-020-2521-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge DistributionAge FactorsAgedAged, 80 and overAgingAsian PeopleAsthmaBetacoronavirusBlack PeopleCohort StudiesCoronavirus InfectionsCOVID-19Diabetes MellitusFemaleHumansHypertensionMaleMiddle AgedPandemicsPneumonia, ViralProportional Hazards ModelsRisk AssessmentSARS-CoV-2Sex CharacteristicsSmokingState MedicineYoung AdultConceptsCOVID-19-related deathsPrimary care electronic health recordsPrimary care recordsLarge cohort studyCoronavirus disease 2019Electronic health recordsSevere asthmaCohort studyClinical factorsSouth Asian peopleSevere outcomesDisease 2019Medical conditionsHigh riskOpenSAFELYWhite ethnicityCare recordsNHS EnglandPatient recordsPatient dataHealth recordsDeathGreater ageAsian peopleRiskPolypharmacy in HIV: recent insights and future directions.
Edelman EJ, Rentsch CT, Justice AC. Polypharmacy in HIV: recent insights and future directions. Current Opinion In HIV And AIDS 2020, 15: 126-133. PMID: 31833963, PMCID: PMC7543953, DOI: 10.1097/coh.0000000000000608.Commentaries, Editorials and LettersConceptsSeverity of illnessInappropriate medicationsDrug interactionsActual adverse eventsSubstance useTotal drug burdenMechanism of injuryElectronic health recordsNonantiretroviral medicationsUpdate findingsMore medicationsAdverse eventsDrug burdenClinical managementPolypharmacyDirect biomarkerMedicationsModifiable mechanismsPWHSicker individualsHealth recordsStrong associationHIVInjuryIllness
2018
Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data
Rentsch CT, Kabudula CW, Catlett J, Beckles D, Machemba R, Mtenga B, Masilela N, Michael D, Natalis R, Urassa M, Todd J, Zaba B, Reniers G. Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data. Gates Open Research 2018, 1: 8. PMID: 29528050, PMCID: PMC5841575, DOI: 10.12688/gatesopenres.12751.2.Peer-Reviewed Original ResearchPotential matchesProbabilistic record linkage algorithmRecord linkage algorithmFellegi-Sunter modelData quality issuesRecord linkage softwareRecord linkageRecord linkage approachesSoftware toolsTrue matchesMultiple searchesLinkage softwareLinkage algorithmHealth recordsSoftwareData sourcesUnique national identifiersLinkage errorsSurveillance systemResearch infrastructureSpelling errorsKey advantageExtraneous informationQuality issuesNational identifiers
2017
Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data
Rentsch C, Kabudula C, Catlett J, Beckles D, Machemba R, Mtenga B, Masilela N, Michael D, Natalis R, Urassa M, Todd J, Zaba B, Reniers G. Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data. Gates Open Research 2017, 1: 8. DOI: 10.12688/gatesopenres.12751.1.Peer-Reviewed Original ResearchPotential matchesProbabilistic record linkage algorithmRecord linkage algorithmFellegi-Sunter modelData quality issuesRecord linkage softwareRecord linkageRecord linkage approachesSoftware toolsTrue matchesMultiple searchesLinkage softwareLinkage algorithmHealth recordsSoftwareData sourcesUnique national identifiersLinkage errorsSurveillance systemResearch infrastructureSpelling errorsKey advantageExtraneous informationQuality issuesNational identifiers