Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
8000 participants
INTERVENTIONAL
2015-06-01
2020-12-30
Brief Summary
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Detailed Description
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Specific Objectives (i) To determine the impact of a QI-mediated HIV-TB service integration on patient mortality. All patients that access services in intervention and control clinics, via either the TB entry point or via the HIV entry point will be tracked during clinic follow-up visits or, through a community care giver, and will have their vital status ascertained 12 months after clinic randomization.
(ii) To determine the effectiveness of peer-led Quality Improvement (QI) to integrate HIV-TB services. The effect, on HIV-TB integrated processes of care, of the deployment of a QI approach (systems view, data driven decision making, culture of continuous improvement, trained peer mentors) to ensure uniform implementation of an essential package of evidence based HIV-TB interventions that support HIV-TB integration. The impact on clinical outcomes of using QI methods to implement integrated HIV and TB management will be assessed using the following indicators: Time to ART initiation among HIV infected TB suspects and cases; HIV testing rates in TB patients; Number of HIV-TB co-infected patients receiving co-treatment for TB and HIV at the same facility; Number of patients infected with HIV or TB that are retained in care at 12 months; Indicators of treatment adherence such as - number of HIV patients that are virologically suppressed at 12 months and TB treatment outcomes; Hospitalisation rates among patients receiving co-treatment for TB and HIV.
(iii) To identify clinic-level factors that impact on integrated HIV-TB services. Understanding the context (environmental, social and political factors) in which we are working is essential to identifying factors that promote or inhibit the implementation of the intervention. We will use the COACH tool (Context Assessment for Community Health) \[8\] to collect data and assess the organizational context and the influence of factors such as organizational culture, leadership, resources and HCWs remuneration etc. on the intervention
(iv) To determine the cost-effectiveness of implementing HIV-TB services using Quality Improvement methodology (Intervention Clinics) versus the base-case of implementing HIV-TB services independently, through a within-trial approach using both health service (e.g. training, remuneration) and patient costs (e.g. travel, opportunity costs) as inputs. We will also calculate total intervention costs to assess its affordability and explore cost-effectiveness under various scenarios (e.g. different TB-HIV co-infection rates) using decision analytical modeling.
(v) To identify a set of interventions, change ideas, tools and approaches that can be used to scale up adoption, implementation and sustainability of integrated HIV-TB services across South Africa and in other resource constrained settings.
(vi) To strengthen the capacity of CAPRISA to independently perform implementation research in PRDs, including community-randomized trials and health economic analysis, through expert mentoring and supervision of PhD programmes.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Quality Improvement Intervention
In intervention clinics, staff will follow QI methodology to undertake a detailed assessment of their HIV-TB care and to prioritize the steps to improve treatment outcomes. A senior nurse will be identified to be the QI champion and will be trained by the study team to fulfil this role. The QI champion in the clinic then provides peer-leadership, mentorship and support for the implementation of the prioritized changes until the checklist is complete and all integrated HIV-TB service components meet the required standard.
Quality Improvement Model of Care
QI addresses the "how" of program implementation. Technically, QI improves process performance by developing a common simplified view of the components and linkages of integrated care, real-time data feed-back to track system performance, understanding the psychology of system change, and crucially, the iterative testing and incorporation of ideas for performance improvement from the front-line practitioners, managers, and customers in the local context.
Control Standard of Care
The control arm will continue with the usual support that is received for HIV-TB service integration
No interventions assigned to this group
Interventions
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Quality Improvement Model of Care
QI addresses the "how" of program implementation. Technically, QI improves process performance by developing a common simplified view of the components and linkages of integrated care, real-time data feed-back to track system performance, understanding the psychology of system change, and crucially, the iterative testing and incorporation of ideas for performance improvement from the front-line practitioners, managers, and customers in the local context.
Eligibility Criteria
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Inclusion Criteria
* ART site
* Supported by BroadReach Healthcare
Exclusion Criteria
* Clinics that do not offer ART
* Clinics with only 1 nurse
* Hospitals and Gateway clinics
ALL
Yes
Sponsors
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BroadReach Healthcare
INDUSTRY
Institute for Healthcare Improvement
OTHER
Centre for the AIDS Programme of Research in South Africa
NETWORK
Responsible Party
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Dr Kogieleum Naidoo
Dr
Principal Investigators
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Kogieleum Naidoo, MBChB
Role: PRINCIPAL_INVESTIGATOR
Centre for the AIDS Programme of Research in South Africa
Locations
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CAPRISA eThekwini Clinical Research Site
Durban, KwaZulu-Natal, South Africa
Countries
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References
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Naidoo K, Zuma NY, Moodley M, Made F, Perumal R, Gengiah S, Ngozo J, Padayatchi N, Nunn A, Karim SA. High mortality among patients with tuberculosis accessing primary care facilities: secondary analysis from an open-label cluster-randomised trial. EClinicalMedicine. 2025 Mar 18;82:103151. doi: 10.1016/j.eclinm.2025.103151. eCollection 2025 Apr.
Naidoo K, Gengiah S, Yende-Zuma N, Mlobeli R, Ngozo J, Memela N, Padayatchi N, Barker P, Nunn A, Karim SSA. Mortality in HIV and tuberculosis patients following implementation of integrated HIV-TB treatment: Results from an open-label cluster-randomized trial. EClinicalMedicine. 2022 Feb 12;44:101298. doi: 10.1016/j.eclinm.2022.101298. eCollection 2022 Feb.
Gengiah S, Connolly C, Yende-Zuma N, Barker PM, Nunn AJ, Padayatchi N, Taylor M, Loveday M, Naidoo K. Organizational contextual factors that predict success of a quality improvement collaborative approach to enhance integrated HIV-tuberculosis services: a sub-study of the Scaling up TB/HIV Integration trial. Implement Sci. 2021 Sep 17;16(1):88. doi: 10.1186/s13012-021-01155-7.
Gengiah S, Barker PM, Yende-Zuma N, Mbatha M, Naidoo S, Taylor M, Loveday M, Mhlongo M, Jackson C, Nunn AJ, Padayatchi N, Karim SSA, Naidoo K. A cluster-randomized controlled trial to improve the quality of integrated HIV-tuberculosis services in primary healthcareclinics in South Africa. J Int AIDS Soc. 2021 Sep;24(9):e25803. doi: 10.1002/jia2.25803.
Naidoo K, Gengiah S, Yende-Zuma N, Padayatchi N, Barker P, Nunn A, Subrayen P, Abdool Karim SS. Addressing challenges in scaling up TB and HIV treatment integration in rural primary healthcare clinics in South Africa (SUTHI): a cluster randomized controlled trial protocol. Implement Sci. 2017 Nov 13;12(1):129. doi: 10.1186/s13012-017-0661-1.
Other Identifiers
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CAP013
Identifier Type: -
Identifier Source: org_study_id
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