2023
Development and Internal Validation of an Emergency Department Admission Intensity Measure Using Data From a National Group
Oskvarek J, Zocchi M, Cai A, Venkat A, Janke A, Venkatesh A, Pines J, Group A. Development and Internal Validation of an Emergency Department Admission Intensity Measure Using Data From a National Group. Annals Of Emergency Medicine 2023, 82: 316-325. PMID: 36669915, DOI: 10.1016/j.annemergmed.2022.12.011.Peer-Reviewed Original ResearchConceptsAdmission ratesSeparate technical panelEvidence-based protocolsICD-10 diagnosisValue-based payment modelsPhysician's discretionED diagnosisEmergency physiciansInternational ClassificationPhysician levelFacility levelPhysiciansInternal validationQuarterly ratesAdministrative dataFace validityDiagnosisPayment modelsLinear probability modelsICC
2021
Identification of Fall-Related Injuries in Nursing Home Residents Using Administrative Claims Data
Mintz J, Duprey MS, Zullo AR, Lee Y, Kiel DP, Daiello LA, Rodriguez KE, Venkatesh AK, Berry SD. Identification of Fall-Related Injuries in Nursing Home Residents Using Administrative Claims Data. The Journals Of Gerontology Series A 2021, 77: 1421-1429. PMID: 34558615, PMCID: PMC9255678, DOI: 10.1093/gerona/glab274.Peer-Reviewed Original ResearchConceptsFall-related injuriesClaims-based algorithmHip fractureMore fall-related injuriesLong-stay NH residentsCause of morbidityAdministrative claims dataNursing home residentsMedicare Part AInjury reduction effortsRetrospective cohortIntracranial bleedNH residentsRisk factorsInjury codesHome residentsClaims dataInjuryPhi correlation coefficientExternal causesAdministrative dataStudy purposePart AProvider claimsCause