2021
Household economic impact of road traffic injury versus routine emergencies in a low-income country
Mowafi H, Rice B, Nambaziira R, Nirere G, Wongoda R, James M, Group GW, Bisanzo M, Post L. Household economic impact of road traffic injury versus routine emergencies in a low-income country. Injury 2021, 52: 2657-2664. PMID: 34210454, DOI: 10.1016/j.injury.2021.06.007.Peer-Reviewed Original ResearchMeSH KeywordsAccidents, TrafficAdolescentAdultEmergenciesEmergency Medical ServicesEmergency Service, HospitalFamily CharacteristicsHumansWounds and InjuriesYoung AdultConceptsRoad traffic injuriesRTI patientsTraffic injuriesHousehold economic impactEmergency patientsConsecutive emergency department patientsHousehold financial impactNon-RTI patientsSimilar hospital costsEmergency department patientsEmergency care patientsType of injuryCause of deathEmergency care systemResidual disabilityCare patientsDepartment patientsEmergency presentationMiddle-income countriesDays of workHospital costsMedical presentationPatientsHealth statusInjury
2020
Leveraging the COVID-19 response to improve emergency care systems in the Eastern Mediterranean Region.
Mowafi H, Sakr H, Ravaghi H, Elmahal O, Slama S, Samhouri D, Relan P. Leveraging the COVID-19 response to improve emergency care systems in the Eastern Mediterranean Region. Eastern Mediterranean Health Journal 2020, 26: 626-629. PMID: 32621492, DOI: 10.26719/2020.26.6.626.Peer-Reviewed Original ResearchMeSH KeywordsBetacoronavirusCoronavirus InfectionsCOVID-19Emergency Medical ServicesEmergency Service, HospitalEpidemiologyHealth PolicyHealth Services AccessibilityHumansInternational CooperationMediterranean RegionPandemicsPneumonia, ViralPublic HealthPublic Health PracticeSARS-CoV-2World Health OrganizationDefining High‐risk Emergency Chief Complaints: Data‐driven Triage for Low‐ and Middle‐income Countries
Rice B, Leanza J, Mowafi H, Kamara N, Mulogo EM, Bisanzo M, Nikam K, Kizza H, Newberry JA, Strehlow M, Group G, Kohn M. Defining High‐risk Emergency Chief Complaints: Data‐driven Triage for Low‐ and Middle‐income Countries. Academic Emergency Medicine 2020, 27: 1291-1301. PMID: 32416022, PMCID: PMC7818254, DOI: 10.1111/acem.14013.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedDeveloping CountriesEmergency Medical ServicesEmergency Service, HospitalFemaleHumansMaleRandom AllocationRetrospective StudiesTriageVital SignsConceptsHigh-risk chief complaintsChief complaintMiddle-income countriesPatient outcomesLMIC settingsVital signsMortality odds ratioLevel of consciousnessLogistic regression modelsLocal disease patternsHIV statusMortality oddsOdds ratioDerivation data setsEmergency unitMortality riskEmergency careEmergency training programsDerivation dataDisease patternsTriage systemRisk categoriesComplaintsPatient dataTriage data
2018
Derivation and validation of a chief complaint shortlist for unscheduled acute and emergency care in Uganda
Rice BT, Bisanzo M, Maling S, Joseph R, Mowafi H, Chamberlain S, Dreifuss B, Hammerstedt H, Langevin M, Nelson S, Periyanayagam U. Derivation and validation of a chief complaint shortlist for unscheduled acute and emergency care in Uganda. BMJ Open 2018, 8: e020188. PMID: 29950461, PMCID: PMC6020949, DOI: 10.1136/bmjopen-2017-020188.Peer-Reviewed Original ResearchConceptsChief complaintPatient visitsInter-rater reliabilityEmergency careQuality assurance databaseEmergency care practitionersConsensus processSubstantial inter-rater reliabilityRetrospective reviewDerivation datasetCare practitionersComplaintsValidation datasetSouthwestern UgandaSecond validation datasetVisitsCohen's kappaCareKappaSeparate validation datasetData entryProfit hospitalsStataHospitalUganda
2016
Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach
Taylor RA, Pare JR, Venkatesh AK, Mowafi H, Melnick ER, Fleischman W, Hall MK. Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach. Academic Emergency Medicine 2016, 23: 269-278. PMID: 26679719, PMCID: PMC5884101, DOI: 10.1111/acem.12876.Peer-Reviewed Original ResearchConceptsMachine learning approachesElectronic health recordsLearning approachPredictive analyticsMachine learning techniquesRandom forest modelClinical decision support systemBig Data DrivenDecision support systemForest modelLearning techniquesUse casesData-DrivenFacilitate automationTraditional analytic techniquesAnalyticsSupport systemSimple heuristicsNew analyticsHealth recordsSmall setTree modelQuestion of generalizabilityPrediction modelDecision rules
2015
Managing Law Enforcement Presence in the Emergency Department: Highlighting the Need for New Policy Recommendations
Tahouni MR, Liscord E, Mowafi H. Managing Law Enforcement Presence in the Emergency Department: Highlighting the Need for New Policy Recommendations. Journal Of Emergency Medicine 2015, 49: 523-529. PMID: 26095221, DOI: 10.1016/j.jemermed.2015.04.001.Peer-Reviewed Original ResearchMeSH KeywordsConfidentialityConflict of InterestEmergency Service, HospitalEthics, MedicalHumansLaw EnforcementMandatory ReportingOrganizational PolicyPhysician-Patient RelationsConceptsEmergency departmentPatient careEmergency health care providersEmergency patient carePortal of entryHealth care personnelTrauma resuscitation roomHealth care providersHealth care systemAccompany patientsED staySubsequent hospitalizationResuscitation roomPatients' perceptionsCare providersCare personnelEmergency careHealth care institutionsPatientsED personnelHospital policiesInstitutional guidelinesCare systemCare institutionsCare