Modelling the epidemiological and economic impact of digital adherence technologies with differentiated care for tuberculosis treatment in Ethiopia
Goscé L, Tadesse A, Foster N, van Kalmthout K, van Rest J, van der Wal J, Harker M, Madden N, Abdurhman T, Gadissa D, Bedru A, Dube T, Alacapa J, Mganga A, Deyanova N, Charalambous S, Letta T, Jerene D, White R, Fielding K, Houben R, McQuaid C. Modelling the epidemiological and economic impact of digital adherence technologies with differentiated care for tuberculosis treatment in Ethiopia. BMJ Global Health 2024, 9: e016997. PMID: 39653521, PMCID: PMC11628985, DOI: 10.1136/bmjgh-2024-016997.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAntitubercular AgentsCost-Benefit AnalysisEthiopiaFemaleHumansIncidenceMaleMedication AdherenceMiddle AgedTuberculosisYoung AdultConceptsDigital adherence technologiesHealthcare providersTB deathsPatient cost savingsStandard of careAdherence technologiesLabelling interventionsEpidemiological impactASCENT trialDifferentiated careMedication labelsIncident TBImprove tuberculosisProvider costsTB incidenceCareTB episodeProvidersCompartmental transmission modelPotential long-termCost of treatmentInterventionTreatment completionHealthcareEpidemiological benefits