David Ganz
Staff Affiliate - OtherAbout
Research
Publications
2025
Dissemination, adaptation, and uptake of patient-facing materials to improve care coordination in primary care
O'Hanlon C, Barnard J, Rose D, Stockdale S, Chang E, Yano E, Ganz D. Dissemination, adaptation, and uptake of patient-facing materials to improve care coordination in primary care. PEC Innovation 2025, 6: 100386. PMID: 40161273, PMCID: PMC11954116, DOI: 10.1016/j.pecinn.2025.100386.Peer-Reviewed Original ResearchReal-world uptakeCare coordinationFrontline providersVeterans AffairsPatient experiences of care coordinationExperiences of care coordinationImprove care coordinationNon-VA providersPrimary care clinicsPatient-facing materialsNavigating careHuman-centered design approachPrimary careCare processesCoordinated careCare clinicsNon-VACommunity providersPatient experienceVeteran patientsWebsite analyticsCareSustained uptakeResponse to feedbackProvidersEndpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention
Ganz D, Greene E, Latham N, Kane M, Min L, Gill T, Reuben D, Peduzzi P, Esserman D. Endpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention. Journal Of Clinical Epidemiology 2025, 181: 111718. PMID: 39938700, PMCID: PMC12103980, DOI: 10.1016/j.jclinepi.2025.111718.Peer-Reviewed Original ResearchRatio of hazard ratiosHazard ratioConfidence intervalsDevelop Confidence in EldersEnhanced usual careFall injury riskPrimary care practicesFall injury preventionPrimary outcomeIncreasing length of follow-upCluster randomized trialUS healthcare systemStudy dataEstimates of validityUsual careInjury preventionCare practicesMultifactorial interventionOutcome ascertainmentInjury riskCluster-randomizedCare managementRandomized Controlled Trial DataStride dataHealthcare systemMedications for opioid use disorder in traditional medicare beneficiaries: associations with age
Ganz D, Lai J, Cantor J, Agniel D, Simon K, Stein B, Taylor E. Medications for opioid use disorder in traditional medicare beneficiaries: associations with age. Health Affairs Scholar 2025, 3: qxaf036. PMID: 40040649, PMCID: PMC11878533, DOI: 10.1093/haschl/qxaf036.Peer-Reviewed Original ResearchOpioid use disorderMOUD initiationIndex eventUse disorderTreat opioid use disorderAssociated with female sexRates of opioid use disorderIncreasing comorbidity scoreMultivariate logistic regressionAssociated with ageComorbidity scoreMedicare beneficiariesFemale sexOlder adultsAge-specific strategiesIncreased uptakeLogistic regressionOlder ageTraditional Medicare beneficiariesMOUDClaims dataMedication
2024
Preventing Falls in Older Persons
Reuben D, Ganz D. Preventing Falls in Older Persons. JAMA 2024, 332: 19-20. PMID: 38833266, DOI: 10.1001/jama.2024.9063.Peer-Reviewed Original ResearchAssessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study
Esserman D, Greene E, Latham N, Kane M, Lu C, Peduzzi P, Gill T, Ganz D. Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study. Contemporary Clinical Trials 2024, 142: 107572. PMID: 38740298, PMCID: PMC11654751, DOI: 10.1016/j.cct.2024.107572.Peer-Reviewed Original ResearchElectronic health record dataElectronic health recordsOutcome ascertainmentDevelop Confidence in EldersElectronic health record platformsClinical sitesPrimary care practicesHealth record dataMulti-site trialMulti-site clinical trialCare practicesHealth recordsAssess readinessAcute clinical outcomesHealthcare systemRecord dataClinical trialsReduce injuriesData qualityData comprehensionChecklistStudy dataClinical trial sitesVariable data qualityAscertainmentValidation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data
Ganz D, Esserman D, Latham N, Kane M, Min L, Gill T, Reuben D, Peduzzi P, Greene E. Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data. The Journals Of Gerontology Series A 2024, 79: glae096. PMID: 38566617, PMCID: PMC11167485, DOI: 10.1093/gerona/glae096.Peer-Reviewed Original ResearchFee-for-serviceFall injuriesMedicare AdvantageMedicare dataTrial armsHealthcare systemDevelop Confidence in EldersArea under the receiver operating characteristic curveMedicare fee-for-serviceStratified resultsMedicareReduce injuriesMedical attentionObservational studyStrideReceiver operating characteristic curveCalendar monthMA dataInjuryData sourcesHealthcareArmReference standardTrialsWindow size
2023
A compressed large language model embedding dataset of ICD 10 CM descriptions
Kane M, King C, Esserman D, Latham N, Greene E, Ganz D. A compressed large language model embedding dataset of ICD 10 CM descriptions. BMC Bioinformatics 2023, 24: 482. PMID: 38105180, PMCID: PMC10726612, DOI: 10.1186/s12859-023-05597-2.Peer-Reviewed Original ResearchCaring for high-need patients
Hempel S, Bolshakova M, Hochman M, Jimenez E, Thompson G, Motala A, Ganz D, Gabrielian S, Edwards S, Zenner J, Dennis B, Chang E. Caring for high-need patients. BMC Health Services Research 2023, 23: 1289. PMID: 37996845, PMCID: PMC10668484, DOI: 10.1186/s12913-023-10236-w.Peer-Reviewed Original ResearchConceptsHigh-need patientsCare professionalsNeed domainsEnvironmental scanHealth care systemRapid literature reviewTaxonomy of interventionsIndividual patientsPatientsHigh needSystematic reviewCare systemPanel meetingHealthcare practitionersIntervention TaxonomyInterventionIdentification of needsScansDelphi panelConstruct validityDownstream effectsThoughtful approachProfessionalsImplementation scientistsPotential unintended consequences
2022
World guidelines for falls prevention and management for older adults: a global initiative
Montero-Odasso M, van der Velde N, Martin F, Petrovic M, Tan M, Ryg J, Aguilar-Navarro S, Alexander N, Becker C, Blain H, Bourke R, Cameron I, Camicioli R, Clemson L, Close J, Delbaere K, Duan L, Duque G, Dyer S, Freiberger E, Ganz D, Gómez F, Hausdorff J, Hogan D, Hunter S, Jauregui J, Kamkar N, Kenny R, Lamb S, Latham N, Lipsitz L, Liu-Ambrose T, Logan P, Lord S, Mallet L, Marsh D, Milisen K, Moctezuma-Gallegos R, Morris M, Nieuwboer A, Perracini M, Pieruccini-Faria F, Pighills A, Said C, Sejdic E, Sherrington C, Skelton D, Dsouza S, Speechley M, Stark S, Todd C, Troen B, van der Cammen T, Verghese J, Vlaeyen E, Watt J, Masud T, Singh D, Aguilar-Navarro S, Caona E, Alexander N, Allen N, Anweiller C, Avila-Funes A, Santos R, Batchelor F, Becker C, Beauchamp M, Birimoglu C, Blain H, Bohlke K, Bourke R, Bouzòn C, Bridenbaugh S, Buendia P, Cameron I, Camicioli R, Canning C, Cano-Gutierrez C, Carbajal J, de Abreu D, Casas-Herrero A, Ceriani A, Cesari M, Chiari L, Clemson L, Close J, Alemǻn L, Dawson R, Delbaere K, Doody P, Dsouza S, Duan L, Duque G, Dyer S, Ellmers T, Fairhall N, Ferrucci L, Freiberger E, Frith J, Espinola H, Ganz D, Giber F, Gómez J, Gutiérrez-Robledo L, Hartikainen S, Hausdorff J, Hogan D, Wong C, Howe S, Hunter S, Jara J, Jauregui R, Jellema A, Jenni S, Jepson D, Kalula S, Kamkar N, Singh D, Kenny R, Kerse N, Kobusingye O, Kressig R, Kwok, Lamb S, Latham N, Lim M, Lipsitz L, Liu-Ambrose T, Logan P, Lord S, Lourenço R, Madden K, Mallet L, Marín-Larraín P, Marsh D, Martin F, Padilla D, Masud T, Mat S, McGarrigle L, McIlroy B, Melgar-Cuellar F, Menant J, Milisen K, Mimenza A, Moctezuma-Gallegos R, Montero-Odasso M, Morris M, Muneeb I, Negahban H, Nieuwboer A, Norris M, Ogliari G, Oliveira J, Parodi J, Perez S, Perracini M, Petrovic M, Ovares J, Pieruccini-Faria F, Pighills A, Pinheiro M, Poelgeest E, Ulate X, Robinson K, Ryg J, Said C, Sakurai R, Schapira M, Sejdic E, Seppala L, Sgaravatti A, Sherrington C, Skelton D, Song Y, Speechley M, Stark S, Sultana M, Suri A, Tan M, Taylor M, Thomsen K, Tiedemann A, Tito S, Todd C, Troen B, Van der Cammen T, Van der Velde N, Verghese J, Vlaeyen E, Watt J, Welmer A, Won C, Zijlstra G. World guidelines for falls prevention and management for older adults: a global initiative. Age And Ageing 2022, 51: afac205. PMID: 36178003, PMCID: PMC9523684, DOI: 10.1093/ageing/afac205.Peer-Reviewed Original ResearchConceptsPerspectives of older adultsFall preventionOlder adultsMultifactorial falls risk assessmentCore set of recommendationsCommunity-dwelling older adultsFall risk assessmentFall-related injuriesPerson-centred approachModified Delphi processFlexible implementation strategyHealth related costsWorking GroupMiddle-income countriesMultidisciplinary group of expertsQuality of lifeDetails of assessmentMultidomain interventionPhysical activityFall riskIntervention componentsSet of recommendationsDelphi processFunctional independenceMultidisciplinary group
2020
A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries
Bhasin S, Gill TM, Reuben DB, Latham NK, Ganz DA, Greene EJ, Dziura J, Basaria S, Gurwitz JH, Dykes PC, McMahon S, Storer TW, Gazarian P, Miller ME, Travison TG, Esserman D, Carnie MB, Goehring L, Fagan M, Greenspan SL, Alexander N, Wiggins J, Ko F, Siu AL, Volpi E, Wu AW, Rich J, Waring SC, Wallace RB, Casteel C, Resnick NM, Magaziner J, Charpentier P, Lu C, Araujo K, Rajeevan H, Meng C, Allore H, Brawley BF, Eder R, McGloin JM, Skokos EA, Duncan PW, Baker D, Boult C, Correa-de-Araujo R, Peduzzi P. A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries. New England Journal Of Medicine 2020, 383: 129-140. PMID: 32640131, PMCID: PMC7421468, DOI: 10.1056/nejmoa2002183.Peer-Reviewed Original ResearchConceptsSerious fall injuriesFall injuriesIntervention groupControl groupUsual careMultifactorial interventionRate of hospitalizationPrimary care practicesCluster-randomized trialCommunity-dwelling adultsFirst-event analysisYears of ageHealth care systemRate of fallElectronic health recordsBaseline characteristicsPrimary outcomeRandomized trialsMean ageEfficacy trialsIndividualized planCare practicesInjuryMultifactorial strategyEvent rates