Systems analysis and improvement approach to optimize tuberculosis (SAIA-TB) screening, treatment, and prevention in South Africa: a stepped-wedge cluster randomized trial

Brittney J. van de Water,Meredith B. Brooks, Refiloe Matji, Betty Ncanywa, Freck Dikgale,Nadia N. Abuelezam, Bulelwa Mzileni, Miyakazi Nokwe, Singilizwe Moko,Lindiwe Mvusi,Marian Loveday,Sarah Gimbel

Implementation Science Communications(2024)

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摘要
The use of systems engineering tools, including the development and use of care cascades using routinely collected data, process mapping, and continuous quality improvement, is used for frontline healthcare workers to devise systems level change. South Africa experiences high rates of tuberculosis (TB) infection and disease as well as HIV co-infection. The Department of Health has made significant gains in HIV services over the last two decades, reaching their set “90–90-90” targets for HIV. However, TB services, although robust, have lagged in comparison for both disease and infection. The Systems Analysis and Improvement Approach (SAIA) is a five-step implementation science method, drawn from systems engineering, to identify, define, and implement workflow modifications using cascade analysis, process mapping, and repeated quality improvement cycles within healthcare facilities. This stepped-wedge cluster randomized trial will evaluate the effectiveness of SAIA on TB (SAIA-TB) cascade optimization for patients with TB and high-risk contacts across 16 clinics in four local municipalities in the Sarah Baartman district, Eastern Cape, South Africa. We hypothesize that SAIA-TB implementation will lead to a 20 https://clinicaltrials.gov/study/NCT06314386 . NCT06314386.
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关键词
Capacity building,Implementation science,Infectious disease,Sub-Saharan Africa
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