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Engagement of private health care facilities in TB management in Lusaka district of Zambia: lessons learned and achievements.
(2024-Mar-14) Hambwalula R; Kagujje M; Mwaba I; Musonda D; Singini D; Mutti L; Sanjase N; Kaumba PC; Ziko LM; Zimba KM; Kasese-Chanda P; Muyoyeta M; TB department, Centre of Infectious Disease Research in Zambia, Plot # 34620 Off Alick Nkhata Road, Mass Media, P.O. Box 34681, Lusaka, 10101, Zambia. Mary.Kagujje@cidrz.org.; Lusaka District Health Office, Ministry of Health, Great East Road, Lusaka, Zambia.; TB department, Centre of Infectious Disease Research in Zambia, Plot # 34620 Off Alick Nkhata Road, Mass Media, P.O. Box 34681, Lusaka, 10101, Zambia.; Division of Health, United States Agency for International Development, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: Globally, at least 3 million TB patients are missed every year. In Zambia, the TB treatment coverage increased from 66% in 2020 to 92% in 2022. Involvement of all levels of health care service delivery is critical to finding all the missing TB patients. METHODS: A survey was undertaken in 15 private facilities in Lusaka district of Zambia using a structured tool administered by project team and a district health team member. Data collected during the survey was analysed and results were used to determine the type of TB services that were offered as well as barriers and enablers to TB service provision. This was followed by a set of interventions that included; training and mentorship on active case finding and systematic TB screening, increased diagnostic capacity, provision of national recording and reporting tools and provision of TB medication through linkage with the National TB program (NTP). We report findings from the baseline survey and changes in presumptive TB identification and notification following interventions. RESULTS: Major barriers to TB service delivery were the high cost of TB diagnostic testing and treatment in facilities where services were not supported by the National TB program; the mean cost was 33 (SD 33) and 93 (SD 148) for GeneXpert testing and a full course of treatment respectively. Pre-intervention, presumptive TB identification appeared to increase monthly by 4 (P = 0.000, CI=[3.00-5.00]). The monthly trends of presumptive TB identification during the intervention period increased by 5.32 (P = 0.000, [CI 4.31-6.33. Pre-intervention, the notification of TB appeared to decrease every month by -4.0 (P = 0.114, CI=[-9.00-0.10]) followed by an immediate increase in notifications of 13.94 TB patients (P = 0.001, CI [6.51, 21.36] in the first month on intervention. The monthly trends of notification during the intervention period changed by 0.34 (P = 0.000 [CI 0.19-0.48]). Private facility contribution to TB notification increased from 3 to 7%. CONCLUSION: Engagement and inclusion of private health facilities in TB service provision through a systems strengthening approach can increase contribution to TB notification by private health facilities.
Reaching for 90:90:90 in Correctional Facilities in South Africa and Zambia: Virtual Cross-Section of Coverage of HIV Testing and Antiretroviral Therapy During Universal Test and Treat Implementation.
(2024-Aug-15) Hoffmann CJ; Herce ME; Chimoyi L; Smith HJ; Tlali M; Olivier CJ; Topp SM; Muyoyeta M; Reid SE; Hausler H; Charalambous S; Fielding K; Department of Family Medicine, School of Medicine, University of Pretoria, Pretoria, South Africa; and.; TB HIV Care, Cape Town, South Africa.; The Aurum Institute, Johannesburg, South Africa.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.; Department of Medicine, Johns Hopkins University, Baltimore, MD.; Institute for Global Health and Infectious Diseases, School of Medicine, University of North Carolina, Chapel Hill, NC.; College of Public Health Medicine and Veterinary Sciences, James Cook University, Townsville, Australia.; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.; Department of Medicine, Division of Infectious Diseases, School of Medicine, University of Alabama at Birmingham, Birmingham, AL.; Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia.
BACKGROUND: People in correctional settings are a key population for HIV epidemic control. We sought to demonstrate scale-up of universal test and treat in correctional facilities in South Africa and Zambia through a virtual cross-sectional analysis. METHODS: We used routine data on 2 dates: At the start of universal test and treat implementation (time 1, T1) and 1 year later (time 2, T2). We obtained correctional facility census lists for the selected dates and matched HIV testing and treatment data to generate virtual cross-sections of HIV care continuum indicators. RESULTS: In the South African site, there were 4193 and 3868 people in the facility at times T1 and T2; 43% and 36% were matched with HIV testing or treatment data, respectively. At T1 and T2, respectively, 1803 (43%) and 1386 (36%) had known HIV status, 804 (19%) and 845 (21%) were known to be living with HIV, and 60% and 56% of those with known HIV were receiving antiretroviral therapy (ART). In the Zambian site, there were 1467 and 1366 people in the facility at times T1 and T2; 58% and 92% were matched with HIV testing or treatment data, respectively. At T1 and T2, respectively, 857 (59%) and 1263 (92%) had known HIV status, 277 (19%) and 647 (47%) were known to be living with HIV, and 68% and 68% of those with known HIV were receiving ART. CONCLUSIONS: This virtual cross-sectional analysis identified gaps in HIV testing coverage, and ART initiation that was not clearly demonstrated by prior cohort-based studies.
Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countries.
(2024) Codlin AJ; Vo LNQ; Garg T; Banu S; Ahmed S; John S; Abdulkarim S; Muyoyeta M; Sanjase N; Wingfield T; Iem V; Squire B; Creswell J; Friends for International TB Relief, Hanoi, Viet Nam.; Janna Health Foundation, Yola, Nigeria.; Liverpool School of Tropical Medicine, Liverpool, United Kingdom.; Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom.; Stop TB Partnership, Geneva, Switzerland.; icddr,b, Dhaka, Bangladesh.; Karolinska Institutet, Stockholm, Sweden.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: In 2022, fewer than half of persons with tuberculosis (TB) had access to molecular diagnostic tests for TB due to their high costs. Studies have found that the use of artificial intelligence (AI) software for chest X-ray (CXR) interpretation and sputum specimen pooling can each reduce the cost of testing. We modeled the combination of both strategies to estimate potential savings in consumables that could be used to expand access to molecular diagnostics. METHODS: We obtained Xpert testing and positivity data segmented into deciles by AI probability scores for TB from the community- and healthcare facility-based active case finding conducted in Bangladesh, Nigeria, Viet Nam, and Zambia. AI scores in the model were based on CAD4TB version 7 (Zambia) and qXR (all other countries). We modeled four ordinal screening and testing approaches involving AI-aided CXR interpretation to indicate individual and pooled testing. Setting a false negative rate of 5%, for each approach we calculated additional and cumulative savings over the baseline of universal Xpert testing, as well as the theoretical expansion in diagnostic coverage. RESULTS: In each country, the optimal screening and testing approach was to use AI to rule out testing in deciles with low AI scores and to guide pooled vs individual testing in persons with moderate and high AI scores, respectively. This approach yielded cumulative savings in Xpert tests over baseline ranging from 50.8% in Zambia to 57.5% in Nigeria and 61.5% in Bangladesh and Viet Nam. Using these savings, diagnostic coverage theoretically could be expanded by 34% to 160% across the different approaches and countries. CONCLUSIONS: Using AI software data generated during CXR interpretation to inform a differentiated pooled testing strategy may optimize TB diagnostic test use, and could extend molecular tests to more people who need them. The optimal AI thresholds and pooled testing strategy varied across countries, which suggests that bespoke screening and testing approaches may be needed for differing populations and settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s44263-024-00081-2.
The accuracy of point-of-care C-Reactive Protein as a screening test for tuberculosis in children.
(2024) Kagujje M; Nyangu S; Maimbolwa MM; Shuma B; Sanjase N; Chungu C; Kerkhoff AD; Creswell J; Muyoyeta M; Tuberculosis Department, Centre of Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Innovations and Grants, Stop TB Partnership, Geneva, Switzerland.; Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, California, United States of America.; Zambia Paediatric Association, Lusaka, Zambia.
Systematic screening for TB in children, especially among those at high risk of TB, can promote early diagnosis and treatment of TB. The World Health Organization (WHO) recently recommended C-Reactive Protein as a TB screening tool in adults and adolescents living with HIV (PLHIV). Thus, we aimed to assess the performance of point-of-care (POC) CRP as a screening tool for TB in children. A cross-sectional study was conducted at 2 primary health care facilities in Lusaka, Zambia between September 2020 -August 2021. Consecutive children (aged 5-14 years) presenting for TB services were enrolled irrespective of TB symptoms. All participants were screened for the presence of TB symptoms and signs, asked about TB contact history, and undertook a POC CRP test, chest X-ray, and sputum Xpert MTB/RIF Ultra test. The accuracy of CRP (≥10 mg/L cutoff) was determined using a microbiological reference standard (MRS) and a composite reference standard (CRS). Of 280 children enrolled and with complete results available, the median age was 10 years (IQR 7-12), 56 (20.0%) were HIV positive, 228 (81.4%) had a positive WHO symptom screen for TB, 62 (22.1%) had a close TB contact, and 79 (28.2%) had a positive CRP POC test. Five (1.8%) participants had confirmed TB, 71 (25.4%) had unconfirmed TB, and 204 (72.3%) had unlikely TB. When the MRS was used, the sensitivity of CRP was 80.0% (95%CI: 28.4-99.5%) and the specificity was 72.7% (95%CI: 67.1-77.9%). When the CRS was used, the sensitivity of CRP was 32.0% (95%CI: 23.3% - 42.5%), while the specificity was 74.0% (95%CI: 67.0% - 80.3%). Using the CRS, there were no statistically significant differences in sensitivity and specificity of CRP in the HIV positive and HIV negative individuals. Among children in Zambia, POC CRP had limited utility as a screening tool for TB. There remains a continued urgent need for better tools and strategies to improve TB detection in children.
Evaluating InferVision's Computer-Aided Detection (CAD) algorithm for Tuberculosis (TB) screening, Lusaka, Zambia.
(2025) Somwe P; Maimbolwa M; Chiyenu K; Lumpa M; Kagujje M; Muyoyeta M; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
The objective of this study was to evaluate the diagnostic performance of InferRead DR Chest for tuberculosis (TB) screening in a high HIV and TB burden setting. The study assessed the performance of InferRead DR Chest using anonymized chest X-ray images from an active TB case finding study in Lusaka, Zambia, for individuals aged 15 and older. The Xpert MTB/RIF or MTB culture was the composite reference standard. Performance was evaluated using the Area Under the Receiver Operating Characteristic Curve (AUC), and a binary classification point was selected where the sensitivity aligned with the WHO target product profile for TB screening tools. Of the 1,890 chest X-ray images that met the inclusion criteria, 91.5% of participants reported at least one TB symptom. The median age was 38 years (IQR: 29-47), and 1,186 (62.8%) were male. From the study sample, 449 participants (23.8%) reported a history of previous TB, and 704 (37.2%) were HIV positive. Among the analyzed images, 289 (15.3%) were classified as TB positive based on the composite reference standard test results. The overall area under the curve (AUC) was 0.81 (95% CI: 0.78-0.83). Among individuals with a history of previous TB and those who were HIV positive, the AUCs were 0.71 (95% CI: 0.63-0.79) and 0.77 (95% CI: 0.72-0.82), respectively. At a sensitivity of 90.3% (95% CI: 86.3%-93.5%), InferRead DR Chest achieved a specificity of 39.2% (95% CI: 36.8%-41.7%) at TB score cut point of 0.12. InferRead DR Chest had acceptable performance in our population. Additional training and piloting of InferRead DR Chest in this population is recommended.
Comparison of indoor contact time data in Zambia and Western Cape, South Africa suggests targeting of interventions to reduce Mycobacterium tuberculosis transmission should be informed by local data.
(2016-Feb-09) McCreesh N; Looker C; Dodd PJ; Plumb ID; Shanaube K; Muyoyeta M; Godfrey-Faussett P; Corbett EL; Ayles H; White RG; ZAMBART Project, School of Medicine, University of Zambia, Lusaka, Zambia. kshanaube@zambart.org.zm.; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK. faussettp@unaids.org.; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK. lizcorbett04@gmail.com.; ZAMBART Project, School of Medicine, University of Zambia, Lusaka, Zambia. helen@zambart.org.zm.; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK. helen@zambart.org.zm.; HIV and TB Theme, Malawi Liverpool Wellcome Trust Clinical Research Programme, Blantyre, Malawi. lizcorbett04@gmail.com.; TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. richard.white@lshtm.ac.uk.; TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. idplumb@gmail.com.; ZAMBART Project, School of Medicine, University of Zambia, Lusaka, Zambia. Monde.Muyoyeta@cidrz.org.; TB Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia. Monde.Muyoyeta@cidrz.org.; TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. clare_looker@hotmail.com.; Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK. p.j.dodd@sheffield.ac.uk.; TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. p.j.dodd@sheffield.ac.uk.; TB Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. nicky.mccreesh@lshtm.ac.uk.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: In high incidence settings, the majority of Mycobacterium tuberculosis (M.tb) transmission occurs outside the household. Little is known about where people's indoor contacts occur outside the household, and how this differs between different settings. We estimate the number of contact hours that occur between adults and adult/youths and children in different building types in urban areas in Western Cape, South Africa, and Zambia. METHODS: Data were collected from 3206 adults using a cross-sectional survey, on buildings visited in a 24-h period, including building function, visit duration, and number of adults/youths and children (5-12 years) present. The mean numbers of contact hours per day by building function were calculated. RESULTS: Adults in Western Cape were more likely to visit workplaces, and less likely to visit shops and churches than adults in Zambia. Adults in Western Cape spent longer per visit in other homes and workplaces than adults in Zambia. More adults/youths were present at visits to shops and churches in Western Cape than in Zambia, and fewer at homes and hairdressers. More children were present at visits to shops in Western Cape than in Zambia, and fewer at schools and hairdressers. Overall numbers of adult/youth indoor contact hours were the same at both sites (35.4 and 37.6 h in Western Cape and Zambia respectively, p = 0.4). Child contact hours were higher in Zambia (16.0 vs 13.7 h, p = 0.03). Adult/youth and child contact hours were highest in workplaces in Western Cape and churches in Zambia. Compared to Zambia, adult contact hours in Western Cape were higher in workplaces (15.2 vs 8.0 h, p = 0.004), and lower in churches (3.7 vs 8.6 h, p = 0.002). Child contact hours were higher in other peoples' homes (2.8 vs 1.6 h, p = 0.03) and workplaces (4.9 vs 2.1 h, p = 0.003), and lower in churches (2.5 vs 6.2, p = 0.004) and schools (0.4 vs 1.5, p = 0.01). CONCLUSIONS: Patterns of indoor contact between adults and adults/youths and children differ between different sites in high M.tb incidence areas. Targeting public buildings with interventions to reduce M.tb transmission (e.g. increasing ventilation or UV irradiation) should be informed by local data.
Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis.
(2023-Dec-21) Creswell J; Vo LNQ; Qin ZZ; Muyoyeta M; Tovar M; Wong EB; Ahmed S; Vijayan S; John S; Maniar R; Rahman T; MacPherson P; Banu S; Codlin AJ; PATH India, Mumbai, India.; London School of Hygiene & Tropical Medicine, London, UK.; Socios En Salud Sucursal Peru, Lima, Peru.; Africa Health Research Institute, KwaZulu-Natal, South Africa.; Division of Infectious Diseases, Heersink School of Medicine, University of Alabama Birmingham, Birmingham, AL, USA.; School of Health & Wellbeing, University of Glasgow, Glasgow, UK.; Friends for International TB Relief (FIT), Hanoi, Vietnam.; Janna Health Foundation, Yola, Nigeria.; Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.; Stop TB Partnership, Geneva, Switzerland.; International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh.; Department of Global Health, WHO Collaboration Centre On Tuberculosis and Social Medicine, Karolinska Institutet, Stockholm, Sweden.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Stop TB Partnership, Geneva, Switzerland. jacobc@stoptb.org.; Interactive Research and Development (IRD) Pakistan, Karachi, Pakistan.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's deadliest diseases. Most deaths are among persons with TB who are not reached with diagnosis and treatment. Thus, timely screening and accurate detection of TB, particularly using sensitive tools such as chest radiography, is crucial for reducing the global burden of this disease. However, lack of qualified human resources represents a common limiting factor in many high TB-burden countries. Artificial intelligence (AI) has emerged as a powerful complement in many facets of life, including for the interpretation of chest X-ray images. However, while AI may serve as a viable alternative to human radiographers and radiologists, there is a high likelihood that those suffering from TB will not reap the benefits of this technological advance without appropriate, clinically effective use and cost-conscious deployment. The World Health Organization recommended the use of AI for TB screening in 2021, and early adopters of the technology have been using the technology in many ways. In this manuscript, we present a compilation of early user experiences from nine high TB-burden countries focused on practical considerations and best practices related to deployment, threshold and use case selection, and scale-up. While we offer technical and operational guidance on the use of AI for interpreting chest X-ray images for TB detection, our aim remains to maximize the benefit that programs, implementers, and ultimately TB-affected individuals can derive from this innovative technology.
Designing community-based strategies to reach non-household contacts of people with tuberculosis in Lusaka, Zambia: a rapid qualitative study among key stakeholders.
(2024) Kerkhoff AD; Foloko M; Kundu-Ng'andu E; Nyirenda H; Jabbie Z; Syulikwa M; Mwamba C; Kagujje M; Muyoyeta M; Sharma A; Division of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, CA, United States.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
BACKGROUND: In high-burden settings, most tuberculosis (TB) transmission likely occurs outside the home. Our qualitative study in Zambia explored the acceptability and preferences for designing TB active case finding (ACF) strategies to reach non-household contacts of people with TB. METHODS: We conducted 56 in-depth interviews with persons with TB ( RESULTS: All participants felt that TB was an important issue in their community and that new detection strategies were needed. A "social-network strategy" was perceived as acceptable and feasible, where participants noted it was a caring act and could facilitate early diagnosis. For a "venue-based strategy," most participants suspected TB transmission occurred at bars/taverns due to heavy alcohol use and prolonged time spent in crowded spaces; churches and betting halls were also commonly mentioned locations. Nearly all owners/leaders and patrons/attendees of bars, churches, and betting halls expressed acceptance of a venue-based strategy. They also indicated an interest in participating, citing many benefits, including increased TB knowledge/awareness, early diagnosis, convenience, and possibly reduced transmission, and recommended that the strategy incorporate sensitization, consent, volunteerism, and respectful, confidential, private services. For both strategies, most participants preferred the use of and being approached by trained peer TB survivors to facilitate ACF, given their prior TB patient experience and trust among community members. CONCLUSION: Stakeholders found social-network and venue-based TB-ACF strategies highly acceptable, recognizing their potential benefits for individuals and the broader community. Future research should evaluate the feasibility and effectiveness of TB ACF strategies for reaching non-household contacts.
Coordinating the prevention, treatment, and care continuum for HIV-associated tuberculosis in prisons: a health systems strengthening approach.
(2018-Nov) Herce ME; Muyoyeta M; Topp SM; Henostroza G; Reid SE; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Division of Infectious Diseases, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.; Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, School of Medicine, Birmingham, Alabama, USA.; College of Public Health, Medical and Veterinary Sciences, James Cook University, Queensland, Australia.
PURPOSE OF REVIEW: To advance a re-conceptualized prevention, treatment, and care continuum (PTCC) for HIV-associated tuberculosis (TB) in prisons, and to make recommendations for strengthening prison health systems and reducing HIV-associated TB morbidity and mortality throughout the cycle of pretrial detention, incarceration, and release. RECENT FINDINGS: Despite evidence of increased HIV-associated TB burden in prisons compared to the general population, prisoners face entrenched barriers to accessing anti-TB therapy, antiretroviral therapy, and evidence-based HIV and TB prevention. New approaches, suitable for the complexities of healthcare delivery in prisons, have emerged that may address these barriers, and include: novel TB diagnostics, universal test and treat for HIV, medication-assisted treatment for opioid dependence, comprehensive transitional case management, and peer navigation, among others. SUMMARY: Realizing ambitious international HIV and TB targets in prisons will only be possible by first addressing the root causes of the TB/HIV syndemic, which are deeply intertwined with human rights violations and weaknesses in prison health systems, and, second, fundamentally re-organizing HIV and TB services around a coordinated PTCC. Taking these steps can help ensure universal access to comprehensive, good-quality, free and voluntary TB/HIV prevention, treatment, and care, and advance efforts to strengthen health resourcing, staffing, information management, and primary care access within prisons.
Integrating HIV care and treatment into tuberculosis clinics in Lusaka, Zambia: results from a before-after quasi-experimental study.
(2018-Oct-26) Herce ME; Morse J; Luhanga D; Harris J; Smith HJ; Besa S; Samungole G; Kancheya N; Muyoyeta M; Reid SE; Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA.; Lusaka District Health Office, Ministry of Health, Government of the Republic of Zambia, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Division of Infectious Diseases, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA. michael.herce@cidrz.org.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia. michael.herce@cidrz.org.
BACKGROUND: Patients with HIV-associated tuberculosis (TB) often have their TB and HIV managed in separate vertical programs that offer care for each disease with little coordination. Such "siloed" approaches are associated with diagnostic and treatment delays, which contribute to unnecessary morbidity and mortality. To improve TB/HIV care coordination and early ART initiation, we integrated HIV care and treatment into two busy TB clinics in Zambia. We report here the effects of our intervention on outcomes of linkage to HIV care, early ART uptake, and TB treatment success for patients with HIV-associated TB in Lusaka, Zambia. METHODS: We provided integrated HIV treatment and care using a "one-stop shop" model intervention. All new or relapse HIV-positive TB patients were offered immediate HIV program enrolment and ART within 8 weeks of anti-TB therapy (ATT) initiation. We used a quasi-experimental design, review of routine program data, and survival analysis and logistic regression methods to estimate study outcomes before (June 1, 2010-January 31, 2011) and after (August 1, 2011-March 31, 2012) our intervention among 473 patients with HIV-associated TB categorized into pre- (n = 248) and post-intervention (n = 225) cohorts. RESULTS: Patients in the pre- and post-intervention cohorts were mostly male (60.1% and 52.9%, respectively) and young (median age: 33 years). In time-to-event analyses, a significantly higher proportion of patients in the post-intervention cohort linked to HIV care by 4 weeks post-ATT initiation (53.9% vs. 43.4%, p = 0.03), with median time to care linkage being 59 and 25 days in the pre- and post-intervention cohorts, respectively. In Cox proportional hazard modelling, patients receiving the integration intervention started ART by 8 weeks post-ATT at 1.33 times the rate (HR = 1.33, 95% CI: 1.00-1.77) as patients pre-intervention. In logistic regression modelling, patients receiving the intervention were 2.02 times (95% CI: 1.11-3.67) as likely to have a successful TB treatment outcome as patients not receiving the intervention. CONCLUSIONS: Integrating HIV treatment and care services into routine TB clinics using a one-stop shop model increased linkage to HIV care, rates of early ART initiation, and TB treatment success among patients with HIV-associated TB in Lusaka, Zambia.

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