Annie W Yang, MD
Postdoctoral Fellow, NCSPAbout
Research
Publications
2025
Trends in Staffing at State Veterans Homes: Do They Meet the 2024 Centers for Medicare & Medicaid Nursing Home Staffing Standards?
Yang A, Mukamel D, Pimentel C, Hartmann C. Trends in Staffing at State Veterans Homes: Do They Meet the 2024 Centers for Medicare & Medicaid Nursing Home Staffing Standards? Journal Of The American Medical Directors Association 2025, 26: 105845. PMID: 40885538, PMCID: PMC12416766, DOI: 10.1016/j.jamda.2025.105845.Peer-Reviewed Original ResearchLicensed practical nursesState Veterans HomesStaffing levelsStaffing standardsNational averageVeterans HomeStaffing requirementsMinimum staffing standardsNursing home staffingCross-sectional descriptive analysisDescriptive analysisLongitudinal descriptive analysisPractice nursesStaffing measuresNurse aidesFacility characteristicsStaffingNursesSDSVHHomeCNACMSProportionAverageTrends in antipsychotic prescribing among community-dwelling older adults with dementia, 2010-2018
Yang A, Leng M, Arbanas J, Tseng C, Fendrick A, Sarkisian C, Damberg C, Harawa N, Mafi J. Trends in antipsychotic prescribing among community-dwelling older adults with dementia, 2010-2018. Health Affairs Scholar 2025, 3: qxaf021. PMID: 40040648, PMCID: PMC11878382, DOI: 10.1093/haschl/qxaf021.Peer-Reviewed Original ResearchChoosing WiselyAntipsychotic prescribingCW recommendationsElectronic clinical decision support toolCommunity-dwelling older adultsMedicare fee-for-service claimsClinical decision support toolCommunity-dwelling patientsHeightened riskDementia-related agitationMixed regression modelsHeightened risk of deathMultivariate mixed regression modelRisk of deathRetrospective cohort studyFirst-line treatmentOlder adultsPercentage of patientsOlder AmericansCohort studyVulnerable populationsDementiaPrescribing trendsFinancial incentivesPrescribing
2021
Health Related Social Needs Among Chinese American Primary Care Patients During the COVID-19 Pandemic: Implications for Cancer Screening and Primary Care
Tsui J, Yang A, Anuforo B, Chou J, Brogden R, Xu B, Cantor J, Wang S. Health Related Social Needs Among Chinese American Primary Care Patients During the COVID-19 Pandemic: Implications for Cancer Screening and Primary Care. Frontiers In Public Health 2021, 9: 674035. PMID: 34123992, PMCID: PMC8192797, DOI: 10.3389/fpubh.2021.674035.Peer-Reviewed Original ResearchConceptsHealth-related social needsUpstream social determinantsPrimary care patientsNeighborhood perceptionsCancer screeningPrimary careCare patientsUpstream social determinants of healthOutpatient primary care practiceSocial determinants of healthHistory of cancer screeningHousing instabilityAsian AmericansSocial needsDeterminants of healthPrimary care practicesResults:Food insecurityLower-income patientsMedical chart reviewConclusions:COVID-19 pandemicSocial determinantsReferral pathwaysCare practicesComing Together: How Medical Students, Academic Administrators, and Hospital Administrators Approached Student Volunteering During the COVID-19 Pandemic
Fabricant S, Yang A, Ooms A, Boos D, Oettinger J, Traba C. Coming Together: How Medical Students, Academic Administrators, and Hospital Administrators Approached Student Volunteering During the COVID-19 Pandemic. Medical Science Educator 2021, 31: 1539-1544. PMID: 34026308, PMCID: PMC8132734, DOI: 10.1007/s40670-021-01315-w.Peer-Reviewed Original ResearchCOVID-19 pandemicMedical school leadershipSchool leadershipSchool administratorsStudent leadersAcademic administratorsMedical studentsStudentsStudent volunteersSchoolMedical educationEducationCOVID-19Evolving relationshipPerspective pieceParallelization pointAcademicsPiecesPandemicVolunteer responsesLeadershipLeadersCreation
2020
Racial Disparities in Health Care Utilization at the End of Life Among New Jersey Medicaid Beneficiaries With Advanced Cancer.
Yang A, Goldin D, Nova J, Malhotra J, Cantor J, Tsui J. Racial Disparities in Health Care Utilization at the End of Life Among New Jersey Medicaid Beneficiaries With Advanced Cancer. JCO Oncology Practice 2020, 16: e538-e548. PMID: 32298223, PMCID: PMC7291540, DOI: 10.1200/jop.19.00767.Peer-Reviewed Original ResearchConceptsAggressive EOL careEnd of lifeEOL careHospice enrollmentMedicaid beneficiariesEthnic disparitiesEnd of life careAdvanced cancerStage IV breastHealth care utilizationNH-White patientsBlack patientsNew Jersey Medicaid beneficiariesMultivariate logistic regression modelNH Black patientsEthnic minority groupsLogistic regression modelsCancer careCare utilizationAggressive careHospiceED visitsRacial disparitiesMedicaid populationCareAssessment of variation in 30‐day mortality following cancer surgeries among older adults across US hospitals
Lipitz‐Snyderman A, Lavery J, Bach P, Li D, Yang A, Strong V, Russo A, Panageas K. Assessment of variation in 30‐day mortality following cancer surgeries among older adults across US hospitals. Cancer Medicine 2020, 9: 1648-1660. PMID: 31918457, PMCID: PMC7050094, DOI: 10.1002/cam4.2800.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesFee-for-serviceHospital characteristicsHospital-specific risk-standardized mortality ratesCancer surgeryUS hospitalsFee-for-service Medicare beneficiariesMortality riskHierarchical mixed-effects logistic regression modelsHospital odds ratioConfidence intervalsPotential mortality reductionMixed-effects logistic regression modelsPublic health gainsLogistic regression modelsRandom hospital effectsNoncancer conditionsHospital variationHealth gainsMedicare beneficiariesHospital effectsOlder adultsMortality reductionPublic reportingOdds ratio
2019
Opportunity for performance measurement: 30-day mortality following cancer surgeries across U.S. hospitals.
Lipitz-Snyderman A, Lavery J, Bach P, Li D, Yang A, Strong V, Russo A, Panageas K. Opportunity for performance measurement: 30-day mortality following cancer surgeries across U.S. hospitals. Journal Of Clinical Oncology 2019, 37: e18221-e18221. DOI: 10.1200/jco.2019.37.15_suppl.e18221.Peer-Reviewed Original ResearchRisk-standardized mortality ratesFee-for-serviceCancer sitesHospital characteristicsHospital-specific risk-standardized mortality ratesCancer surgeryU.S. hospitalsHierarchical mixed-effects logistic regression modelsHospital odds ratioConfidence intervalsNon-cancer conditionsMixed-effects logistic regression modelsPublic health gainsMeasures of outcomeLogistic regression modelsRandom hospital effectsHospital variationHealth gainsHospital effectsHospital variablesPublic reportingOdds ratioMortality riskQuality reportingImprove quality
2018
Critical Choices: What Information Do Patients Want When Selecting a Hospital for Cancer Surgery?
Yang A, Chimonas S, Bach P, Taylor D, Lipitz-Snyderman A. Critical Choices: What Information Do Patients Want When Selecting a Hospital for Cancer Surgery? JCO Oncology Practice 2018, 14: e505-e512. PMID: 30059273, PMCID: PMC6550060, DOI: 10.1200/jop.17.00031.Peer-Reviewed Original ResearchConceptsHospital qualityHospital reputationCancer careCancer surgeryPatient interestComparative informationClinical outcomesPatient satisfactionUS residentsPatient demandExpressed interestNational surveyHospitalCareOutcomesRate of complicationsCross-sectionCancerPatientsQualityPhysiciansSurgeryParticipantsComprehensive dataResidentsImmune-related adverse events for anti-PD-1 and anti-PD-L1 drugs: systematic review and meta-analysis
Baxi S, Yang A, Gennarelli R, Khan N, Wang Z, Boyce L, Korenstein D. Immune-related adverse events for anti-PD-1 and anti-PD-L1 drugs: systematic review and meta-analysis. The BMJ 2018, 360: k793. PMID: 29540345, PMCID: PMC5851471, DOI: 10.1136/bmj.k793.Peer-Reviewed Original ResearchConceptsImmune-related adverse eventsOrgan specific immune-related adverse eventsAnti-PD-1 drugsAdverse eventsImmune activationAnti-programmed cell death 1Primary clinical trial dataAnti-PD-L1 drugsMusculoskeletal problemsAnti-PD-1Rate of rashAnti-PD-L1Cell death 1Rate of hypothyroidismClinical trial dataAdverse event dataDeath-1PD-1Metastatic diseaseRisk of biasBack painStandard treatmentIncidence of fatigueWeb of ScienceCochrane LibraryClinicalTrials.gov for Facilitating Rapid Understanding of Potential Harms of New Drugs: The Case of Checkpoint Inhibitors
Yang A, Baxi S, Korenstein D. ClinicalTrials.gov for Facilitating Rapid Understanding of Potential Harms of New Drugs: The Case of Checkpoint Inhibitors. JCO Oncology Practice 2018, 14: jop.2017.025114. PMID: 29298113, PMCID: PMC5812307, DOI: 10.1200/jop.2017.025114.Peer-Reviewed Original Research