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 coefficientHIVTherapyDiagnosisAssessing the quality of tuberculosis care using routine surveillance data: a process evaluation employing the Zero TB Indicator Framework in Mongolia
Saranjav A, Parisi C, Zhou X, Dorjnamjil K, Samdan T, Erdenebaatar S, Chuluun A, Dalkh T, Ganbaatar G, Brooks MB, Spiegelman D, Ganmaa D, Davis JL. Assessing the quality of tuberculosis care using routine surveillance data: a process evaluation employing the Zero TB Indicator Framework in Mongolia. BMJ Open 2022, 12: e061229. PMID: 35973702, PMCID: PMC9386240, DOI: 10.1136/bmjopen-2022-061229.Peer-Reviewed Original ResearchConceptsPrimary health centersTB preventive therapyRoutine surveillance dataHealth centersHousehold contactsCohort studyPreventive therapyTB careTB dispensariesRetrospective cross-sectional cohort studyCross-sectional cohort studySurveillance dataActive TB treatmentGuideline-adherent careHealth system predictorsQuality of tuberculosisOdds of patientsHealth system factorsQuality improvement interventionsLow-quality careCare cascadeTB screeningTB treatmentTuberculosis careIndex patients