2024
Social Isolation and Population Density: Racial and Ethnic Differences Among Older Adults
You E, Nicholson N, Jacobson S, Poghosyan H, Feinn R, Charlotte L. Social Isolation and Population Density: Racial and Ethnic Differences Among Older Adults. INQUIRY The Journal Of Health Care Organization Provision And Financing 2024, 61: 00469580241273127. PMID: 39229676, PMCID: PMC11375685, DOI: 10.1177/00469580241273127.Peer-Reviewed Original ResearchConceptsSocial isolationAbsence of social connectionsSocial connectionsAssociated with less SIZip codesHigh-population-density areasPopulation densitySecondary data analysisRacial/ethnic groupsEthnic differencesAARP FoundationSenior citizensOlder AdultsOlder peopleConvenience sampleRace/ethnicityLinear mixed modelsTargeted interventionsHealth problemsSubjective SIZIPMixed modelsCitizensInterventionModerating influence
2023
The role of financial security in loneliness or sadness among Medicare-enrolled cancer survivors during the COVID-19 pandemic
Sarkar S, Arakelyan S, Choa E, Poghosyan H. The role of financial security in loneliness or sadness among Medicare-enrolled cancer survivors during the COVID-19 pandemic. Journal Of Geriatric Oncology 2023, 14: 101507. PMID: 37216846, PMCID: PMC10123351, DOI: 10.1016/j.jgo.2023.101507.Peer-Reviewed Original ResearchMeSH KeywordsAgedCancer SurvivorsCOVID-19Cross-Sectional StudiesHumansLonelinessMedicareNeoplasmsPandemicsSadnessUnited StatesConceptsFeelings of lonelinessCancer survivorsSurge of COVID-19Increased feelings of lonelinessCancer historyMedicare beneficiariesSelf-reported cancer historyIncreasing rates of lonelinessWinter surgeIncreased feelingsRates of lonelinessCOVID-19 pandemicCross-sectional dataMultivariate logistic regression analysisLogistic regression analysisPopulation-basedFinancial securityCOVID-19MedicareSocioeconomic vulnerabilityLonelinessStudy cohortSurvivorsRegression analysisCross-tabulation analysis
2022
COVID-19 Vaccine Hesitancy Among Medicare Beneficiaries with and Without Cancer History: A US Population-based Study
Poghosyan H, Ni Z, Vlahov D, Nelson L, Nam S. COVID-19 Vaccine Hesitancy Among Medicare Beneficiaries with and Without Cancer History: A US Population-based Study. Journal Of Community Health 2022, 48: 315-324. PMID: 36427111, PMCID: PMC9702715, DOI: 10.1007/s10900-022-01174-5.Peer-Reviewed Original ResearchMeSH KeywordsAgedCOVID-19COVID-19 VaccinesCross-Sectional StudiesHumansMedicareNeoplasmsUnited StatesVaccinationConceptsCOVID-19 vaccineCOVID-19 vaccine hesitancyCancer historyVaccine hesitancyMedicare beneficiariesVaccine uptakeMultivariable logistic regression modelCOVID-19 vaccine uptakeVaccine hesitancy ratesOngoing health conditionsCOVID-19 vaccinationLogistic regression modelsComplex survey designLack of recommendationsHesitancy ratesVaccine benefitsCommon reasonHesitant individualsSide effectsUS populationVaccineHealth conditionsCross-sectional dataHesitancyRegression modelsAssociation between social connectedness and stress or anxiety among older cancer survivors during the 2020–2021 winter surge of the COVID-19 pandemic
Poghosyan H, Margaryan Y, Jeon S, Edelman EJ, Yu JB. Association between social connectedness and stress or anxiety among older cancer survivors during the 2020–2021 winter surge of the COVID-19 pandemic. Journal Of Geriatric Oncology 2022, 14: 101390. PMID: 36274031, PMCID: PMC9554341, DOI: 10.1016/j.jgo.2022.10.005.Peer-Reviewed Original ResearchRacial and Ethnic Variation in COVID-19 Vaccination Uptake Among Medicare Beneficiaries with Cancer History
Poghosyan H, Dinan MA, Tamamyan G, Nelson L, Jeon S. Racial and Ethnic Variation in COVID-19 Vaccination Uptake Among Medicare Beneficiaries with Cancer History. Journal Of Racial And Ethnic Health Disparities 2022, 10: 2354-2362. PMID: 36149576, PMCID: PMC9510246, DOI: 10.1007/s40615-022-01415-2.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCOVID-19COVID-19 VaccinesCross-Sectional StudiesHumansMedicareNeoplasmsUnited StatesVaccinationConceptsNon-Hispanic white beneficiariesCancer historyVaccine doseMedicare beneficiariesWhite beneficiariesVaccine uptakeHispanic beneficiariesMultivariable logistic regression analysisCOVID-19 vaccination uptakeSelf-reported cancer historyCOVID-19 vaccine uptakeSelf-reported receiptCOVID-19 vaccination ratesLogistic regression analysisNon-Hispanic blacksSelf-reported raceUnvaccinated beneficiariesVaccination uptakeVaccine dosesVaccination ratesVaccine confidenceVaccine availabilitySupplement surveyCross-sectional dataEthnic variation
2021
Association between daily and non-daily cannabis use and depression among United States adult cancer survivors
Poghosyan H, Noonan E, Badri P, Braun I, Young G. Association between daily and non-daily cannabis use and depression among United States adult cancer survivors. Nursing Outlook 2021, 69: 672-685. PMID: 33581859, DOI: 10.1016/j.outlook.2021.01.012.Peer-Reviewed Original ResearchConceptsCancer survivorsBehavioral Risk Factor Surveillance System surveyIncreased odds of depressionAdult cancer survivorsOdds of depressionCannabis useWeighted descriptive statisticsEvidence-informed discussionsSelf-reported depressionNationally representative sampleMultivariate logistic regressionPopulation-basedSystem surveyIncreased oddsDescriptive statisticsRepresentative sampleOpen communicationLogistic regressionIncreased riskNone-usersSurvivorsDepressionPrevalenceCancerAssociationDifferences in Uptake of Low-Dose CT Scan for Lung Cancer among White and Black Adult Smokers in the United States-2017.
Poghosyan H, Fortin D, Moen E, Quigley K, Young G. Differences in Uptake of Low-Dose CT Scan for Lung Cancer among White and Black Adult Smokers in the United States-2017. Journal Of Health Care For The Poor And Underserved 2021, 32: 165-178. PMID: 33678689, DOI: 10.1353/hpu.2021.0016.Peer-Reviewed Original ResearchConceptsLow-dose computerized tomographyLDCT scansLung Cancer Screening ModuleBehavioral Risk Factor Surveillance SystemAdult smokersRisk Factor Surveillance SystemStudy racial/ethnic differencesPack-year smoking historyMultivariate logistic regressionCross-sectional dataHigh blood pressureLung cancerCancer historyRacial/ethnic differencesLow-dose CT scansPack-yearsHealth insuranceLogistic regressionRacial differencesSurveillance systemScreening moduleSmoking historyCT scanOddsLung disease
2020
Marijuana use among cancer survivors: Quantifying prevalence and identifying predictors
Poghosyan H, Poghosyan A. Marijuana use among cancer survivors: Quantifying prevalence and identifying predictors. Addictive Behaviors 2020, 112: 106634. PMID: 32920457, DOI: 10.1016/j.addbeh.2020.106634.Peer-Reviewed Original ResearchConceptsBehavioral Risk Factor Surveillance System surveyPrevalence of current marijuana useCancer survivorsCurrent marijuana useAdult cancer survivorsNon-Hispanic blacksComplex survey designWeighted prevalence estimatesMarijuana useMultivariate logistic regressionFair/poor healthCross-sectional dataIndividual-level predictorsNon-HispanicPrevalence of marijuana useSystem surveyRacial/ethnic groupsQuantify prevalencePrevalence estimatesIndividual-levelLogistic regressionTobacco smokersSurvey designU.S. statesHighest prevalenceIs competitive atrial pacing a possible trigger for atrial fibrillation? Observations from the RATE registry
Orlov M, Olshansky B, Benditt D, Kotler G, McIntyre T, Qu F, Turkel M, Gorev M, Poghosyan H, Waldo A. Is competitive atrial pacing a possible trigger for atrial fibrillation? Observations from the RATE registry. Heart Rhythm 2020, 18: 3-9. PMID: 32738404, DOI: 10.1016/j.hrthm.2020.07.028.Peer-Reviewed Original ResearchConceptsCompetitive atrial pacingAT/AF episodesCardiac implantable devicesAtrial fibrillationAtrial pacingMulticenter registryAtrial tachycardiaAT/AFApproximately 2 yearsClinical significancePatientsClinical implicationsEpisodesExpert adjudicationRegistryTriggering episodesFibrillationDurationIncidence
2018
Social and Structural Determinants of Smoking Status and Quit Attempts Among Adults Living in 12 US States, 2015
Poghosyan H, Moen E, Kim D, Manjourides J, Cooley M. Social and Structural Determinants of Smoking Status and Quit Attempts Among Adults Living in 12 US States, 2015. American Journal Of Health Promotion 2018, 33: 498-506. PMID: 30071738, DOI: 10.1177/0890117118792827.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPsychologyRisk FactorsSex FactorsSmokingSmoking CessationSocial Determinants of HealthSocioeconomic FactorsUnited StatesYoung AdultConceptsBehavioral Risk Factor Surveillance SystemQuit attemptsSmoking statusIntermediary determinantsMental distressSecondary data analysis of cross-sectional dataHousing insecurityRisk Factor Surveillance SystemAnalysis of cross-sectional dataFrequent mental distressAdult smoking statusSmoking cessation interventionsSocial Context ModuleNon-Hispanic blacksRacially diverse adultsSmoking cessation ratesDetermination of smoking statusSecondary data analysisEnhance smoking cessation ratesHazardous alcohol useUS statesMultinomial logistic regressionCross-sectional dataCessation interventionsCurrent smoking
2017
Systematic Review of Hospital Readmissions Among Patients With Cancer in the United States.
Bell J, Whitney R, Reed S, Poghosyan H, Lash R, Kim K, Davis A, Bold R, Joseph J. Systematic Review of Hospital Readmissions Among Patients With Cancer in the United States. Oncology Nursing Forum 2017, 44: 176-191. PMID: 28222076, DOI: 10.1011/17.onf.176-191.Peer-Reviewed Original ResearchConceptsReadmission ratesImplement evidence-based interventionsNational Cancer Institute's Surveillance EpidemiologyCare coordination interventionEvidence-based interventionsOlder adult patientsOncology nursesNursing interventionsOncology settingReadmission preventionSignificant predictors of readmissionCoordinated interventionsDatabases-PubMedHospital readmissionPredictors of readmissionManagement of nauseaSurveillance EpidemiologySystematic reviewInclusion criteriaAdvanced cancerInfection preventionLength of hospital stayReadmissionOlder ageComorbid conditions
2016
Social networks in health care teams: evidence from the United States
Poghosyan L, Lucero R, Knutson A, W Friedberg M, Poghosyan H. Social networks in health care teams: evidence from the United States. Journal Of Health Organization And Management 2016, 30: 1119-1139. PMID: 27700473, DOI: 10.1108/jhom-12-2015-0201.Peer-Reviewed Original ResearchConceptsHealth care teamCare teamTeam membersHealth care team membersHealth services research studiesDiffusion of evidence-based practicesCare team membersCare team compositionHealth care deliveryHealth care settingsTeam members' practicesHealth care networkEvidence-based practiceCare deliveryCare networkCare settingsPatient careOccurrence of adverse eventsImpact patientsTeam member characteristicsHealthMember practicesLiterature searchContextual factorsExclusion criteria
2015
Racial Disparities in Health-Related Quality of Life After Lung Cancer Surgery: Findings From the Cancer Care Outcomes Research and Surveillance Consortium
Poghosyan H, Stock S, Sheldon L, Cromwell J, Cooley M, Nerenz D. Racial Disparities in Health-Related Quality of Life After Lung Cancer Surgery: Findings From the Cancer Care Outcomes Research and Surveillance Consortium. Journal Of Thoracic Oncology 2015, 10: 1404-1412. PMID: 26200452, DOI: 10.1097/jto.0000000000000629.Peer-Reviewed Original ResearchConceptsHealth-related quality of lifeCancer Care Outcomes Research and Surveillance ConsortiumQuality of lifeRacial disparitiesMental health-related quality of lifeStudy investigates racial disparitiesHealth-related quality of life dataShort Form Health SurveyImprove mental healthComponent summary scoresMedical record abstractionLung cancer surgeryHealth-related qualityOlder ageCancer surgeryMultivariate linear regression modelReceipt of surgeryHigh school educationLower MCSRecord abstractionHealth SurveyNon-small-cell lung cancerPatient surveySummary scoreMental health