2021
Health Care Utilization Before and After the “Muslim Ban” Executive Order Among People Born in Muslim-Majority Countries and Living in the US
Samuels EA, Orr L, White EB, Saadi A, Padela AI, Westerhaus M, Bhatt AD, Agrawal P, Wang D, Gonsalves G. Health Care Utilization Before and After the “Muslim Ban” Executive Order Among People Born in Muslim-Majority Countries and Living in the US. JAMA Network Open 2021, 4: e2118216. PMID: 34328502, PMCID: PMC8325073, DOI: 10.1001/jamanetworkopen.2021.18216.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAmbulatory Care FacilitiesAppointments and SchedulesEmergency Service, HospitalEmigrants and ImmigrantsEmigration and ImmigrationFemaleHumansIslamMaleMiddle AgedMinnesotaPatient Acceptance of Health CarePrimary Health CareRefugeesRetrospective StudiesUnited StatesYoung AdultConceptsPrimary care appointmentsHealth care utilizationED visitsCare appointmentsCohort studyCare utilizationEmergency departmentGroup 1Primary care clinic visitsAdditional ED visitsRetrospective cohort studyPrimary care visitsPrimary care clinicsCare visitsAdult patientsClinic visitsPrimary outcomeCare clinicsStudy groupMAIN OUTCOMEGroup 2Group 3Visit trendsPatientsVisits
2020
Association between patient-physician gender concordance and patient experience scores. Is there gender bias?
Chekijian S, Kinsman J, Taylor RA, Ravi S, Parwani V, Ulrich A, Venkatesh A, Agrawal P. Association between patient-physician gender concordance and patient experience scores. Is there gender bias? The American Journal Of Emergency Medicine 2020, 45: 476-482. PMID: 33069544, DOI: 10.1016/j.ajem.2020.09.090.Peer-Reviewed Original ResearchConceptsPatient satisfaction surveyFemale patientsProvider scoresOverall assessment scoreEmergency departmentPatient satisfactionPhysician genderPatient-physician gender concordanceFemale physiciansAssessment scoresGender concordancePatient satisfaction survey dataSatisfaction surveyEffect of patientFemale emergency physiciansPatient experience scoresLogistic regression modelsCross-sectional analysisElectronic health recordsPatients' oddsAdult patientsPatient genderEmergency physiciansLower oddsEmergency care