2023
Validation of Electronic Health Record-Based Algorithms to Identify Specialist Palliative Care Within the Department of Veterans Affairs
Feder S, Zhan Y, Abel E, Smith D, Ersek M, Fried T, Redeker N, Akgün K. Validation of Electronic Health Record-Based Algorithms to Identify Specialist Palliative Care Within the Department of Veterans Affairs. Journal Of Pain And Symptom Management 2023, 66: e475-e483. PMID: 37364737, PMCID: PMC10527602, DOI: 10.1016/j.jpainsymman.2023.06.023.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlgorithmsDatabases, FactualElectronic Health RecordsFemaleHumansInternational Classification of DiseasesMalePalliative CareVeteransConceptsSpecialist palliative careInpatient encountersCurrent Procedural TerminologyPalliative careICD-9/ICDICD-9/10 codesCohort of peopleVeterans Affairs facilitiesStop codeNegative predictive valueElectronic health recordsChart reviewHeart failureAdministrative databasesSpecific clinicPredictive valueICD codesProcedural TerminologyVeterans AffairsOutpatientsHealth recordsAdministrative dataReference standardCareConsultation
2018
Regional Differences in Palliative Care Utilization Among Geriatric Colorectal Cancer Patients Needing Emergent Surgery
Heller DR, Jean RA, Chiu AS, Feder SI, Kurbatov V, Cha C, Khan SA. Regional Differences in Palliative Care Utilization Among Geriatric Colorectal Cancer Patients Needing Emergent Surgery. Journal Of Gastrointestinal Surgery 2018, 23: 153-162. PMID: 30328071, PMCID: PMC6751557, DOI: 10.1007/s11605-018-3929-0.Peer-Reviewed Original ResearchConceptsMultivariable logistic regressionPalliative careColorectal cancerPC consultationEmergent surgerySurgical patientsOstomy formationMethodsThe National Inpatient SampleLogistic regressionComplicated colorectal cancerPalliative care utilizationColorectal cancer patientsNational Inpatient SampleMeeting inclusion criteriaQuality of lifeChi-square testingCritical illnessElderly patientsHospital factorsMetastatic diseasePC patientsCare utilizationGeriatric patientsCancer patientsInpatient Sample