2024
Assessing Direct and Spillover Effects of Intervention Packages in Network-randomized Studies
Buchanan A, Hernández-Ramírez R, Lok J, Vermund S, Friedman S, Forastiere L, Spiegelman D. Assessing Direct and Spillover Effects of Intervention Packages in Network-randomized Studies. Epidemiology 2024, 35: 481-488. PMID: 38709023, DOI: 10.1097/ede.0000000000001742.Peer-Reviewed Original ResearchIntervention packageEffectiveness of interventional packageImprove intervention deliveryPeer education interventionHIV prevention trialsPeer educator trainingMarginal structural modelsPublic health impactHIV risk behaviorsIntervention deliveryIntervention NetworkEducational interventionParticipant visitsPrevention trialsFollow-up visitRisk behaviorsHealth impactsInterventionEducational trainingParticipantsSpillover effectsVisitsHIVExposed networksPeer
2022
Is aggregated surveillance data a reliable method for constructing tuberculosis care cascades? A secondary data analysis from Uganda
White E, Hernández-Ramírez R, Majwala R, Nalugwa T, Reza T, Cattamanchi A, Katamba A, Davis J. Is aggregated surveillance data a reliable method for constructing tuberculosis care cascades? A secondary data analysis from Uganda. PLOS Global Public Health 2022, 2: e0000716. PMID: 36962541, PMCID: PMC10045605, DOI: 10.1371/journal.pgph.0000716.Peer-Reviewed Original ResearchNational TB ProgrammeTreatment initiationAntiretroviral therapySurveillance dataLimits of agreementFacility characteristicsTB surveillance dataTuberculosis care cascadeNumber of peopleXpert-positivesCare cascadeTB careTB treatmentTB programsTuberculosis controlQuality improvement toolsSecondary data analysisHealth facilitiesPositive diagnosisAddress reasonsLinear mixed modelsConcordance correlation coefficientHIVTherapyDiagnosis