 This study addresses the highest ranking health research priority in South Africa, which is, to develop and test optimal models of HIV-TB service delivery that will enhance retention, adherence and coverage of HIV-TB co-infected patients. HIV and TB are highest in sub-Saharan Africa, a region with limited health budgets, infrastructure, human resources, and suboptimal TB infection control practices. There is compelling clinical evidence suggesting that integrating HIV and TB services saves lives and presents an effective and efficient use of resources directed at optimizing health outcomes. Quality improvement QI methods are increasingly being used to systematically test and incorporate local ideas into strategies for reliable implementation and scale up. This trial is designed to test a practical, implementable and affordable strategy aimed at improving HIV-TB service integration to reduce TB and HIV associated deaths. This is a cluster randomized controlled trial, which evaluates and tests the effectiveness of implementing a QI model to integrate HIV-TB service delivery in primary health care clinics, on reducing morbidity and mortality in TB-HIV co-infected patients. This study will be conducted in 2 districts, Ugu and uThungulu, in KwaZulu-Natal, South Africa. The model of integrated care delivery for TB and HIV using the QI method offers a systems approach to care delivery to directly enhance treatment outcomes by enabling comprehensive effective care designed around the patients journey from entry to the clinic, through screening treatment initiation, treatment completion, and retention in care that is directed at the goals of cure for TB, effective sustainable HIV viral suppression and reduced HIV associated TB mortality as the main health impact. The scalability of the model, once proven effective, is the critical element that makes it increase population coverage of quality diagnosis and treatment of HIV-TB co-infection. QI methods promote front line staff engagement in identification and rapid testing of local implementation solutions to gaps in performance of processes of care along the steps of the patient journey. Gaps in care are identified through continuous feedback on a core set of indicators collected monthly as routine collection of data. 