2024
Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer
Siddique S, Baum L, Deziel N, Kelly J, Warren J, Ma X. Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer. PLOS ONE 2024, 19: e0311540. PMID: 39471191, PMCID: PMC11521299, DOI: 10.1371/journal.pone.0311540.Peer-Reviewed Original ResearchConceptsAge-of-onset colorectal cancerEarly-onset colorectal cancerEnd Results Program dataCenters for Disease Control and Prevention dataCounty-level factorsColorectal cancerHealth risk behaviorsIdentified principal componentsOdds of survivalPreventive servicesSurvival disparitiesLinear mixed modelsEOCRCChronic diseasesPreventive factorsUS countiesSalt Lake CountyCA residentsRisk behaviorsUnited StatesProgram dataCounty-levelOlder ageBayesian analytical approachYounger age
2023
Assessment of Regional Nursing Home Preparedness for and Regulatory Responsiveness to Wildfire Risk in the Western US
Festa N, Throgmorton K, Davis-Plourde K, Dosa D, Chen K, Zang E, Kelly J, Gill T. Assessment of Regional Nursing Home Preparedness for and Regulatory Responsiveness to Wildfire Risk in the Western US. JAMA Network Open 2023, 6: e2320207. PMID: 37358851, PMCID: PMC10293909, DOI: 10.1001/jamanetworkopen.2023.20207.Peer-Reviewed Original ResearchMeSH KeywordsAgedCross-Sectional StudiesHumansMedicareNursing HomesQuality of Health CareUnited StatesWildfiresConceptsCross-sectional studyNursing homesNursing home characteristicsMean survival timeUS nursing homesGreater mean numberPrimary outcomeUS CentersExposure statusMAIN OUTCOMEElevated riskSurvival timeSurvival analysisPresence of deficienciesMore deficienciesRisk statusEmergency preparednessHome characteristicsMean numberRiskPreparedness standardsDeficiencyResponsivenessHigh percentageOutcomes