2022
Differences in the Delivery of Medications for Opioid use Disorder during Hospitalization by Racial Categories: A Retrospective Cohort Analysis;
Priest K, King C, Englander H, Lovejoy T, McCarty D. Differences in the Delivery of Medications for Opioid use Disorder during Hospitalization by Racial Categories: A Retrospective Cohort Analysis;. Substance Use & Addiction Journal 2022, 43: 1251-1259. PMID: 35670778, PMCID: PMC10292919, DOI: 10.1080/08897077.2022.2074601.Peer-Reviewed Original ResearchConceptsOpioid use disorderVeterans Health AdministrationWhite patientsUse disordersMOUD deliveryBlack patientsDelivery of buprenorphineType of MOUDRetrospective cohort analysisAcute care hospitalsCOVID-19 pandemic continuesDelivery of medicationsOutpatient clinical environmentLogistic regression modelsMOUD accessAddiction treatment systemCare hospitalStudy cohortSurgical hospitalizationMean ageCohort analysisHospitalizationMOUDPatientsBuprenorphine
2018
Glycemic control and healthcare utilization following pregnancy among women with pre-existing diabetes in Navajo Nation
Ho J, Bachman-Carter K, Thorkelson S, Anderson K, Jaggi J, Brown C, Nelson A, Curley C, King C, Atwood S, Shin S. Glycemic control and healthcare utilization following pregnancy among women with pre-existing diabetes in Navajo Nation. BMC Health Services Research 2018, 18: 629. PMID: 30097012, PMCID: PMC6086058, DOI: 10.1186/s12913-018-3434-x.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultArizonaBlood GlucoseDiabetes Mellitus, Type 2Facilities and Services UtilizationFemaleGlycated HemoglobinHealth Services, IndigenousHumansIndians, North AmericanLogistic ModelsMiddle AgedNew MexicoPatient Acceptance of Health CarePostnatal CarePregnancyPregnancy in DiabeticsPrenatal CareRetrospective StudiesUnited StatesUtahYoung AdultConceptsPre-existing diabetesGlycemic controlIndian Health Service HospitalSpecialized prenatal careRetrospective chart reviewPatient-level predictorsPrimary care providersImmediate postpartum periodResultsOne hundred twentyType 2 diabetesContinuity of healthcareTribal Health SystemBaseline HbA1cChart reviewPrimary outcomeHealthcare utilizationPrenatal carePostpartum periodPregnancy periodHundred twentyService hospitalsCare providersGeneral populationOnly covariatePregnancyIdentifying risk factors for 30-day readmission events among American Indian patients with diabetes in the Four Corners region of the southwest from 2009 to 2016
King C, Atwood S, Lozada M, Nelson A, Brown C, Sabo S, Curley C, Muskett O, Orav E, Shin S. Identifying risk factors for 30-day readmission events among American Indian patients with diabetes in the Four Corners region of the southwest from 2009 to 2016. PLOS ONE 2018, 13: e0195476. PMID: 30070989, PMCID: PMC6071952, DOI: 10.1371/journal.pone.0195476.Peer-Reviewed Original Research
2017
Primary care and survival among American Indian patients with diabetes in the Southwest United States: Evaluation of a cohort study at Gallup Indian Medical Center, 2009–2016
King C, Atwood S, Brown C, Nelson A, Lozada M, Wei J, Merino M, Curley C, Muskett O, Sabo S, Gampa V, Orav J, Shin S. Primary care and survival among American Indian patients with diabetes in the Southwest United States: Evaluation of a cohort study at Gallup Indian Medical Center, 2009–2016. Primary Care Diabetes 2017, 12: 212-217. PMID: 29229284, DOI: 10.1016/j.pcd.2017.11.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overCause of DeathChildCohort StudiesDatabases, FactualDiabetes MellitusFemaleHospitalizationHumansIndians, North AmericanKaplan-Meier EstimateMaleMiddle AgedPrimary Health CareProportional Hazards ModelsRetrospective StudiesRisk AssessmentSex FactorsSouthwestern United StatesStatistics, NonparametricSurvival AnalysisYoung AdultConceptsPrimary care providersLog-rank testAmerican Indian patientsCare providersIndian patientsCox proportional hazards analysisStudy periodProportional hazards analysisMedian survival timeCause mortalityCohort studyOverall survivalImproved survivalFirst admissionUnadjusted analysesPrimary careMedical CenterSurvival timePatientsAdmissionDiabetesSurvivalHealthcare deliverySignificant differencesHazard analysis