2024
Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose
Song S, Dandapani H, Estrada R, Jones N, Samuels E, Ranney M. Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose. Journal Of Addiction Medicine 2024, 18: 218-239. PMID: 38591783, PMCID: PMC11150108, DOI: 10.1097/adm.0000000000001276.Peer-Reviewed Original ResearchPersistent opioid useOpioid use disorderPrediction model Risk Of Bias ASsessment ToolRisk of biasOpioid useRisk of persistent opioid useSystematic reviewRisk of bias assessment toolOpioid overdoseRisk of opioid use disorderUse disorderOpioid-related risksBias assessment toolFull-text reviewPreferred Reporting ItemsMeta-Analysis guidelinesSubstance use disorder historyPrediction Model RiskReporting ItemsElectronic databasesDiagnosis historyStudy selectionAbstract reviewPrimary outcomeData extraction
2023
Emergency medicine physician workforce attrition differences by age and gender
Gettel C, Courtney D, Agrawal P, Madsen T, Rothenberg C, Mills A, Lall M, Keim S, Kraus C, Ranney M, Venkatesh A. Emergency medicine physician workforce attrition differences by age and gender. Academic Emergency Medicine 2023, 30: 1092-1100. PMID: 37313983, PMCID: PMC10973949, DOI: 10.1111/acem.14764.Peer-Reviewed Original ResearchConceptsFemale emergency physiciansEmergency physiciansMedian ageMultivariate logistic regression modelMale emergency physiciansResidency graduationRepeated cross-sectional analysisCharacteristics of physiciansWorkforce attritionCross-sectional analysisLogistic regression modelsStudy time frameDate of birthPrimary outcomeFemale genderMale physiciansClinical practiceFemale physiciansClinical servicesPhysiciansEmergency medicineAgeNumber of yearsRecent dataWorkforce concerns