نبذة مختصرة : Tuberculosis (TB) is an infectious disease and a major global cause of morbidity and mortality. According to the 2022 Global Tuberculosis Report, out of 10.6 million estimated TB cases globally, only 6.4 million were notified to the World Health Organization (WHO). Only 54% of the five-year (2018-2022) treatment target of 3.5 million children was achieved in that four-year period. This indicates large case detection gaps in adult and child TB. In children, the case detection gap is largely due to diagnostic challenges and difficulties in sample collection, that leads to diagnosis and treatment delays. In resource-limited settings, access to innovative sample collection and testing methods is limited at the decentralized level, and poorly utilized for the diagnosis of TB in children. The TB-Speed Decentralization study was an operational research implemented in six countries of Sub-Saharan Africa and South East Asia with the aim to increase childhood TB diagnosis at low levels of care. My PhD research was embedded in its large implementation research programme, and aimed to assess the acceptability and feasibility of this diagnosis approach among Health Care Workers (HCWs). The TB-Speed decentralization study intervention was conducted at two levels. The patient-level component included a comprehensive childhood TB diagnosis package (systematic screening, naso-pharyngeal aspirates (NPA) and stool sample collection methods, microbiological testing using Xpert Ultra, chest X-Ray, referral of children and clinical evaluation). The health system level consisted in two distinct decentralization strategies, randomly allocated to one of the two districts included in each country. In the District Hospital (DH)-focused district, the diagnosis of childhood TB was performed at DH for presumptive children found at DH and those referred from Primary Health Centers (PHCs) (n=4 in each district). In the PHC-focused district, the diagnosis of childhood TB was performed at DH as well as at PHC-level. We conducted a pre-post ...
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