2018
Health system measurement: Harnessing machine learning to advance global health
Leslie HH, Zhou X, Spiegelman D, Kruk ME. Health system measurement: Harnessing machine learning to advance global health. PLOS ONE 2018, 13: e0204958. PMID: 30289935, PMCID: PMC6173424, DOI: 10.1371/journal.pone.0204958.Peer-Reviewed Original ResearchMeSH KeywordsGlobal HealthHealth FacilitiesMachine LearningQuality of Health CareSurveys and QuestionnairesConceptsFacility surveyHealth facility surveyService Provision Assessment surveyKappa statisticsHigh-quality careWorld Health OrganizationSequential backward selectionMiddle-income countriesPatient outcomesHealth facilitiesService readinessGlobal health expertsFull indexUnsupervised machineComplex burdenHealth OrganizationPopulation healthHealth experts
2017
Service readiness of health facilities in Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Uganda and the United Republic of Tanzania
Leslie HH, Spiegelman D, Zhou X, Kruk ME. Service readiness of health facilities in Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Uganda and the United Republic of Tanzania. Bulletin Of The World Health Organization 2017, 95: 738-748. PMID: 29147054, PMCID: PMC5677617, DOI: 10.2471/blt.17.191916.Peer-Reviewed Original ResearchMeSH KeywordsBangladeshCapacity BuildingEquipment and SuppliesHaitiHealth Care SurveysHealth FacilitiesKenyaMalawiNamibiaNepalQuality of Health CareRwandaSenegalTanzaniaUgandaConceptsHealth centers/clinicsCenters/clinicsHealth facilitiesService readinessBasic clinical careFacility-level characteristicsHealth system capacityMost health facilitiesService Provision AssessmentWorld Health OrganizationClinical careDiagnostic capacityHealth systemHealth OrganizationCountry inequitiesUnited RepublicHealth careHospitalClinicHealth financingUniversal coverageStudy countriesCareWeak correlationIndex