2024
Utility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory
Peduzzi P, Brandt C, Dearth C, Dziura J, Farrokhi S, George S, Kyriakides T, Long C, Mascha E, Patterson C, Rhon D, Kerns R. Utility of the PICOTS framework to assess clinical trial disruptions: monitoring the impact of COVID-19 in the Pain Management Collaboratory. Pain Medicine 2024, 25: s34-s40. PMID: 39514876, PMCID: PMC11548861, DOI: 10.1093/pm/pnae078.Peer-Reviewed Original ResearchConceptsPain Management CollaboratoryPICOTS frameworkIndividual-level randomizationPain management researchPragmatic clinical trialsIntervention fidelityCare deliveryStepped-wedgeSpecialty careClinical partnersCOVID-19 experienceIn-personPain managementOutcome assessmentStudy designCOVID-19Nonpharmacologic approachesImpact of COVID-19PICOTExperimental interventionLead investigatorsTrial designDesign of clinical trialsAffective deliveryPain
2000
Reengineering a Database for Clinical Trials Management Lessons for System Architects
Brandt C, Nadkarni P, Marenco L, Karras B, Lu C, Schacter L, Fisk J, Miller P. Reengineering a Database for Clinical Trials Management Lessons for System Architects. Contemporary Clinical Trials 2000, 21: 440-461. PMID: 11018562, DOI: 10.1016/s0197-2456(00)00070-2.Peer-Reviewed Original Research
1998
Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database
Nadkarni P, Brandt C. Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database. Journal Of The American Medical Informatics Association 1998, 5: 511-527. PMID: 9824799, PMCID: PMC61332, DOI: 10.1136/jamia.1998.0050511.Peer-Reviewed Original ResearchMeSH KeywordsClinical Trials as TopicDatabase Management SystemsHumansInformation Storage and RetrievalMedical Records Systems, ComputerizedUser-Computer InterfaceConceptsElectronic patient record systemQuery problemAd-Hoc QueriesReal-time retrievalPatient record systemData warehousingEntity attributesComplex subproblemsData retrievalQueriesValue databaseRecord systemSuch systemsRetrievalValue tablePatient dataFront endAttributesMetadataWarehousingDatabaseUsersData extractionSubproblemsIndividual attributesManaging Attribute–Value Clinical Trials Data Using the ACT/DB Client–Server Database System
Nadkarni P, Brandt C, Frawley S, Sayward F, Einbinder R, Zelterman D, Schacter L, Miller P. Managing Attribute–Value Clinical Trials Data Using the ACT/DB Client–Server Database System. Journal Of The American Medical Informatics Association 1998, 5: 139-151. PMID: 9524347, PMCID: PMC61285, DOI: 10.1136/jamia.1998.0050139.Peer-Reviewed Original ResearchMeSH KeywordsClinical Trials as TopicDatabase Management SystemsHumansMedical Records Systems, ComputerizedSoftware DesignUser-Computer InterfaceConceptsClient-server database systemsReuse of parametersData entryOracle serverDatabase applicationsDatabase systemsObject dataUNIX platformsDictionary searchData typesInitial deploymentLogical groupingPurposes of displaySuch dataStandard reportPilot useServerIndexingAnalysis programMachineDeploymentPlatformReuseClients