Active Tuberculosis Case Finding Research Articles

Community-Wide Active Case Finding for Tuberculosis: Time to Use the Evidence We Have.

Tuberculosis, caused by the Mycobacterium tuberculosis (Mtb) bacteria, is one of the world's deadliest infectious diseases. Despite being the world's oldest pandemic, tuberculosis is very much a challenge of the modern era. In high-incidence settings, all people are at risk, irrespective of whether they have common vulnerabilities to the disease warranting the current WHO recommendations for community-wide tuberculosis active case finding in these settings. Despite good evidence of effectiveness in reducing tuberculosis transmission, uptake of this strategy has been lacking in the communities that would derive greatest benefit. We consider the various complexities in eliminating tuberculosis from the first principles of the disease, including diagnostic and other challenges that must be navigated under an elimination agenda. We make the case that community-wide tuberculosis active case finding is the best strategy currently available to drive elimination forward in high-incidence settings and that no time should be lost in its implementation. Recognizing that high-incidence communities vary in their epidemiology and spatiosocial characteristics, tuberculosis research and funding must now shift towards radically supporting local implementation and operational research in communities. This "preparing of the ground" for scaling up to community-wide intervention centers the local knowledge and local experience of community epidemiology to optimize implementation practices and accelerate reductions in community-level tuberculosis transmission.

Effectiveness of Providing Cash Incentives and Training To Community Health Workers on Active Case Finding for Tuberculosis In Nigeria: A Cluster-Randomized Control Trial

Background Case detection for Tuberculosis remains low in high-burden communities. Community Health Workers (CHWs) are the first point of contact for many rural Nigerians and have been useful in active case finding. This study assessed the effectiveness of cash incentives and training on tuberculosis case detection by CHWs in six Local Government Areas in Nigeria. Materials and Methods A cluster randomized control trial with three arms was conducted. Arm A received cash incentives and training, Arm B received only training, and the control arm (C) received neither. CHWs already working in the communities participated. TB case notification and number of community outreaches held were used to assess intervention effects. Data were analyzed using STATA (v.13) and GraphPad Prism (v.8). Effect sizes were calculated using odds ratios and 95% confidence intervals. Associations were tested using Chi-square (χ²) tests, with significance set at P=0.05. Results Arm A had a 14.4% increase in case notification, Arm B showed a 7.4% increase, and the control arm showed a 39.7% increase from the previous year. Arms A and B had lower odds of TB case notification post-intervention, compared to the control (OR = 0.819 and 0.769, respectively), with no significant difference between them. Arm A also saw a 144.8% increase in community outreaches, compared to 46.7% in Arm B and 22.7% in Control Arm C. Arms A and B had higher odds of carrying out community outreaches post-intervention compared to the control (OR = 1.995 and 1.195, respectively), but no significant differences were found between the groups regarding community outreach. Conclusion While the interventions resulted in an increased number of community outreaches compared to the control, case notification improved more in the control arm than in the intervention arms. Nevertheless, the findings highlight the potential of combining cash incentives with training to improve TB control efforts at the community level. Further exploration of the implementation process may shed light on the observed outcomes and guide future intervention strategies.

Insights into tuberculosis burden in Karachi, Pakistan: A concurrent adult tuberculosis prevalence and child Mycobacterium tuberculosis infection survey.

Pakistan is one of the five highest tuberculosis burden countries globally. We estimated prevalence of adult bacteriologically confirmed pulmonary tuberculosis and annual risk of Mycobacterium tuberculosis (M. tuberculosis) infection in children aged 2-4 years in Karachi, Pakistan. The survey design enabled exploration of tuberculosis burden by whether the population had previously been exposed to widespread tuberculosis active case-finding (ACF) activities or not. We conducted a concurrent adult pulmonary tuberculosis prevalence survey and a child M. tuberculosis infection survey using interferon gamma release assays in four districts (Korangi, South, West and Central). A cluster-based unequal probability random sampling method was employed with the a priori plan to oversample Korangi district which had been the focus of tuberculosis ACF activities since 2011. We defined Korangi district as the 'prior ACF' zone and remaining districts as the 'no prior ACF' zone. Between March 2018 and May 2019, 34,962 adults (78·5% of those eligible) and 1,505 children (59·9%) participated. Overall estimated prevalence of bacteriologically confirmed pulmonary tuberculosis was 387 cases per 100,000 population (95% CI 276-498) with a prevalence of 421 cases [95% CI 276-567] per 100,000 in the 'no prior ACF' and 279 cases [95% CI 155-403] per 100,000 in the 'prior ACF' zone. We estimated the annual risk of M. tuberculosis infection in children to be 1·1% (95% CI 0·7-1·5) in the 'no prior ACF' zone and 0·6% (95% CI 0·3-1·1) in the 'prior ACF' zone. We observed consistent differences in the population distribution of tuberculosis between the 'prior ACF' and 'no prior' ACF zones with a trend towards lower estimates of burden and M. tuberculosis transmission in the 'prior ACF' zone. A plausible explanation is that intensive ACF activities that have been ongoing in Korangi district for the preceding years have noticeably reduced the burden of tuberculosis and transmission.

Geographical targeting of active case finding for tuberculosis in Pakistan using hotspots identified by artificial intelligence software (SPOT-TB): study protocol for a pragmatic stepped wedge cluster randomised control trial

IntroductionPakistan has significantly strengthened its capacity for active case finding (ACF) for tuberculosis (TB) that is being implemented at scale in the country. However, yields of ACF have been lower...

Effectiveness of Using AI-Driven Hotspot Mapping for Active Case Finding of Tuberculosis in Southwestern Nigeria.

Background: Nigeria is among the top five countries that have the highest gap between people reported as diagnosed and estimated to have developed tuberculosis (TB). To bridge this gap, there is a need for innovative approaches to identify geographical areas at high risk of TB transmission and targeted active case finding (ACF) interventions. Leveraging community-level data together with granular sociodemographic contextual information can unmask local hotspots that could be otherwise missed. This work evaluated whether this approach helps to reach communities with higher numbers of undiagnosed TB. Methodology: A retrospective analysis of the data generated from an ACF intervention program in four southwestern states in Nigeria was conducted. Wards (the smallest administrative level in Nigeria) were further subdivided into smaller population clusters. ACF sites and their respective TB screening outputs were mapped to these population clusters. This data were then combined with open-source high-resolution contextual data to train a Bayesian inference model. The model predicted TB positivity rates on the community level (population cluster level), and these were visualised on a customised geoportal for use by the local teams to identify communities at high risk of TB transmission and plan ACF interventions. The TB positivity yield (proportion) observed at model-predicted hotspots was compared with the yield obtained at other sites identified based on aggregated notification data. Results: The yield in population clusters that were predicted to have high TB positivity rates by the model was at least 1.75 times higher (p-value < 0.001) than the yield in other locations in all four states. Conclusions: The community-level Bayesian predictive model has the potential to guide ACF implementers to high-TB-positivity areas for finding undiagnosed TB in the communities, thus improving the efficiency of interventions.

IJCM_310A: Active Case Finding for Tuberculosis in outreach centres of a medical college in Puducherry, India: A Mixed Methods Study on Outcomes and Implementation Challenges

Background: Tuberculosis is the leading cause of death from a curable infectious disease and is responsible for 9.9 million new cases and 1.3 million deaths. Over 95% of TB deaths occur in low and middle-income countries. The WHO TB statistics for India for 2021 give an estimated incidence figure of 2,590,000 million cases. In Puducherry, 4500 cases were notified in the same year, with a TB notification rate of 226 per lakh population. ACF has potential benefits but also challenges, which need to be carefully assessed when developing and implementing ACF policies. Objectives: 1) To understand the experiences of healthcare workers during the implementation of Active Case Finding (ACF) activities 2) To assess the implementation of ACF using the feasibility indicators. Methodology: Qualitative interviews (IDI &amp; FGD) were conducted among healthcare workers (Nodal Officers, Medical Officers, and Medical Interns) involved in the ACF to enumerate their experiences during the survey and the implementation challenges they faced. Additionally, a set of feasibility indicators from the literature (Hemant et al.2023) was identified to assess the implementation of ACF in outreach centres of a medical college in Puducherry. Results: Three overarching themes emerged through qualitative interviews: awareness of ACF and TB, implementation challenges, and mechanisms to overcome the challenges. Feasibility indicators will be elicited upon completion of data curation and analysis. Conclusion: The intricate details involved in the implementation of ACF would be understood through the experiences of Health Care Workers as well as quantitative estimation of ACF implementation.

Community views on active case finding for tuberculosis in low- and middle-income countries: a qualitative evidence synthesis.

Community views on active case finding for tuberculosis in low- and middle-income countries: a qualitative evidence synthesis.

Improving Tuberculosis Active Case Finding Through the Engagement of Traditional Medicine Practitioners in Lagos State, Nigeria

Background: Tuberculosis (TB) remains a significant global health challenge, particularly in high-burden countries like Nigeria. Despite efforts to combat TB, a substantial number of cases remain undiagnosed and untreated, contributing to the continued spread of the disease. In response to this public health crisis, the USAID/Nigeria Tuberculosis Local Organization (USAID/Nigeria TB LON) project, implemented by the Equitable Health Access Initiative (EHAI) in Lagos State, initiated a novel approach to TB case finding. This journal article provides an overview of the strategies, activities, challenges, and achievements of the Program within the USAID TB LON 3 project in Lagos State, with a focus on the period from March to September 2021 Methods: This approach involves collaboration with Traditional Medicine Practitioners (TMPs) to identify and link presumptive TB cases to testing and treatment services. Result: From March to September 2021, only 30 out of the 94 TMPs trained reported a total of 8,333 clients screened for Tuberculosis infections across 7 LGAs in Lagos State. 715 presumptive TB cases were identified (representing 0.09% of screened cases) and 628 samples were further evaluated for TB (88% of identified presumptive cases) with 12 confirmed TB positive cases reported (2% of presumptive cases), 11 linked to treatment, and 1 death reported. Conclusion: This research offers compelling evidence supporting the efficacy of engaging Traditional Medicine Practitioners (TMPs) in enhancing active Tuberculosis (TB) case finding in Lagos State. The substantial and positive impact observed underscores the potential of this approach to play a pivotal role in TB control initiatives, fortifying the healthcare system's resilience in addressing TB within community outside hospital facility. Keywords: Tuberculosis (TB), Traditional Medicine Practitioners (TMP),

Pooled sputum testing by Xpert® MTB/RIF Ultra for active tuberculosis case finding among high-risk groups in a low-incidence area: a prospective study

Background Early detection and treatment of tuberculosis (TB) are of great importance to stop its spread. However, optimising the active case findingstrategy is critical to improving its feasibility in regions where TB is epidemic. Method The different pooled ratios between TB-positive and TB-negative sputum specimens were evaluated and a pooling ratio of 5:1 was used for the active case finding screening by Xpert MTB/RIF Ultra among high-risk groups in Beijing. Results The sensitivity of pooling ratio at 5:1 was 97.5% (39/40). Between October 2022 and March 2023, among 17,681 participants, 1729 metthe active case finding criteria and were screened by 350 5:1 sputum pools by Xpert MTB/RIF Ultra. Four pools (1.1%) tested positive and were further confirmed as definite active TB cases. In our study population with high TB incidence (231/100,000), the cost for detection of individual patients was reduced by 77.4% at a 5:1 pooling ratio. Conclusions pooled sputum testing at a suitable ratio using Xpert MTB/RIF Ultra provides a rapid, efficient, and cost-effective method for active TB case finding among high-risk groups in a low-incidence area.

Enhanced active case finding of drug-resistant tuberculosis in Namibia: a protocol for the hotspots, hospitals, and households (H3TB) study

IntroductionNamibia is a high tuberculosis (TB)-burden country with an estimated incidence of 460/100 000 (around 12 000 cases) per year. Approximately 4.5% of new cases and 7.9% of previously treated...

Community-based Advocacy Communication Social Mobilization (ACSM) intervention by empowering key community leaders: Evaluation using the RE-AIM framework.

Based on the theme of World Tuberculosis (TB) Day 2018-"Wanted Leaders for TB free world," various studies and country-level project have witnessed how training leaders on TB has helped enhance TB awareness in the community. This study was conducted to evaluate the effectiveness of Advocacy Communication and Social Mobilization (ACSM) intervention strategy through key community leaders, using Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. This study was undertaken by the Department of Community Medicine, Sri Manakula Vinayagar Medical College and Hospital (SMVMCH), Puducherry, in the field practice area of Primary Health Centre (PHC), Thirubuvanai. The STOP TB, ENGAGE-TB, and National TB Elimination Program (NTEP) guidelines were used for interventions. Key community leaders (KCL) list (N = 117) was obtained from Mannadipet commune panchayat and PHC. The study was conducted in four phases: phase 1 (baseline): quantitative data: proportion of presumptive TB cases from notification register; phase 2 (intervention): training program for staff nurses, auxiliary nurse midwife (ANM), Accredited Social Health Activist (ASHA), and Anganwadi workers (group activity), participatory rural appraisal (PRA) activity for self-help group (SHG) leaders, and health education session for religious leaders and ex-panchayat leaders; phase 3: strengthening of ongoing activity: health education session and active case finding for TB; and phase 4: end line: outcome of the intervention, evaluated using the RE-AIM framework. As an outcome of the intervention, there was a marginal increase (21 cases) in the proportion of presumptive TB cases when comparing before (2018) and after (2019) intervention. The proportion of presumptive TB cases identified and referred by KCL was 312. A total of 77 presumptive TB cases were identified through community-based active case finding (ACF). Two sputum samples (on the spot early morning) were collected and sent for Cartridge-based nucleic acid amplification testing (CBNAAT), of which three cases were positive. This study was community led and involved leaders from diverse backgrounds, optimizing the chance of success. For sustainability, we have initiated TB support group.

Sociocultural understanding of Tuberculosis and implications for care-seeking among adults in the province of Zambezia, Mozambique: Qualitative research.

Mozambique has a high burden of Tuberculosis (TB) with an incidence of 368 per 100,000 population in 2020, coupled with a low all-form TB detection rate. The COVID-19 pandemic has exacerbated delays in timely diagnosis and treatment of new TB cases. Promoting active TB case finding is a national priority in Mozambique. We conducted qualitative research to explore factors influencing TB testing in Zambezia province in Mozambique. One-to-one, semi-structured, audio-recorded telephone interviews were conducted to explore TB-related knowledge, and barriers and facilitators to TB testing. A sample of two TB Program staff, two community providers of TB services, and 19 community members (10 women and 9 men) was recruited, with support from provincial government TB staff, from four districts in Zambezia with a high TB burden. Interviews were transcribed verbatim, and thematic analysis was conducted. The Mozambican National Bioethics Committee for Health approved the study protocol. Our study highlights that knowledge about TB symptoms and its causes is low, which could delay timely TB testing. Sociocultural beliefs often implicate certain types of sexual activity and women as causes of TB symptoms; for example, having sex with a widow who has not been traditionally purified, or with a woman who has had an abortion. Therefore, people usually tend to first seek care from traditional healers instead of going to a health facility. Additionally, stigma associated with HIV and TB also delays care seeking. Gender-related disparities in TB care seeking were also evident. This study provides valuable insights into how healthcare seeking for TB is influenced by sociocultural understanding of symptoms and gender dynamics. Therefore, interventions to promote timely and appropriate care seeking for TB should be contextually tailored, culturally appropriate, and gender sensitive.

Diagnostic Accuracy of Computer-Aided Detection During Active Case Finding for Pulmonary Tuberculosis in Africa: A Systematic Review and Meta-analysis.

Computer-aided detection (CAD) may be a useful screening tool for tuberculosis (TB). However, there are limited data about its utility in active case finding (ACF) in a community-based setting, and particularly in an HIV-endemic setting where performance may be compromised. We performed a systematic review and evaluated articles published between January 2012 and February 2023 that included CAD as a screening tool to detect pulmonary TB against a microbiological reference standard (sputum culture and/or nucleic acid amplification test [NAAT]). We collected and summarized data on study characteristics and diagnostic accuracy measures. Two reviewers independently extracted data and assessed methodological quality against Quality Assessment of Diagnostic Accuracy Studies-2 criteria. Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines were followed. Of 1748 articles reviewed, 5 met with the eligibility criteria and were included in this review. A meta-analysis revealed pooled sensitivity of 0.87 (95% CI, 0.78-0.96) and specificity of 0.74 (95% CI, 0.55-0.93), just below the World Health Organization (WHO)-recommended target product profile (TPP) for a screening test (sensitivity ≥0.90 and specificity ≥0.70). We found a high risk of bias and applicability concerns across all studies. Subgroup analyses, including the impact of HIV and previous TB, were not possible due to the nature of the reporting within the included studies. This review provides evidence, specifically in the context of ACF, for CAD as a potentially useful and cost-effective screening tool for TB in a resource-poor HIV-endemic African setting. However, given methodological concerns, caution is required with regards to applicability and generalizability.

Active case finding of tuberculosis among nomads and semi-nomads in Puducherry.

Tuberculosis (TB), is a global epidemic and communicable disease that accounts for increased global mortality and morbidity. India is also marching towards the elimination of tuberculosis by 2025 with this background we conducted this study. To identify the undiagnosed TB cases in nomadic and semi-nomadic populations of Puducherry. A community-based cross-sectional study was done among nomads and semi-nomads in Puducherry for four months between May 2022 to September 2022 after getting the Institute's ethical committee approval. After obtaining written consent/assent, a pretested semi structured questionnaire was used to record the data. The questionnaire consists of three parts that include, sociodemographic details and history specific to tuberculosis based on operational definitions such as presumptive TB and physical examination. Those participants fulfilling the criteria for presumptive TB was provided a Falcon tube for spot sample. The participants were explained the procedure to collect the sputum and its quality was verified by the principal investigator before sending it to the laboratory. Data was analysed with Statistical Package for Social Science (SPSS Inc, Chicago, Illinois, USA) software version 16.0 and Microsoft Excel 2016. Frequencies and percentages were estimated for categorical data. Our study showed 6.25% was the proportion of presumptive TB cases in our study population. In the presumptive TB cases 60% belonged to age >45yrs 80% belonged to the male gender and all of them belonged to lower socioeconomic status. The macro-environment findings of those presumptive TB cases were 80% belonged Kutcha houses, with poor ventilation and overcrowding present. Their co-morbidity status indicates 60% were diabetics and 20% were hypertensive. Their predominant findings were 80% reported Cough and 20% fever, significant weight loss. No contact history of TB was found. When these presumptive TB cases underwent microbiological examination, none were sputum positive. This study showed ACF helped to identify presumptive TB in an effective way and needs large-scale screening to identify sputum-positive cases.

Quantifying the potential epidemiological impact of a 2-year active case finding for tuberculosis in rural Nepal: a model-based analysis

ObjectivesActive case finding (ACF) is an important tuberculosis (TB) intervention in high-burden settings. However, empirical evidence garnered from field data has been equivocal about the long-term community-level impact, and more...

Comparing tuberculosis symptom screening to chest X-ray with artificial intelligence in an active case finding campaign in Northeast Nigeria

BackgroundUltra-portable X-ray devices with artificial intelligence (AI) are increasingly used to screen for tuberculosis (TB). Few studies have documented their performance. We aimed to evaluate the performance of chest X-ray (CXR) and symptom screening for active case finding of TB among remote populations using ultra-portable X-ray and AI.MethodsWe organized screening camps in rural northeast Nigeria, and all consenting individuals ≥ 15 years were screened for TB symptoms (cough, fever, night sweats, and weight loss) and received a CXR. We used a MinXray Impact system interpreted by AI (qXR V3), which is a wireless setup and can be run without electricity. We collected sputum samples from individuals with an qXR abnormality score of 0.30 or higher or if they reported any TB symptoms. Samples were tested with Xpert MTB/RIF. We documented the TB screening cascade and evaluated the performance of screening with different combinations of symptoms and CXR interpreted by AI.ResultsWe screened 5297 individuals during 66 camps: 2684 (51%) were females, and 2613 (49%) were males. Using ≥ 2 weeks of cough to define presumptive TB, 1056 people (20%) would be identified. If a cough of any duration was used, the number with presumptive TB increased to 1889 (36%) and to 3083 (58%) if any of the four symptoms were used. Overall, 769 (14.5%) had abnormality scores of 0.3 or higher, and 447 (8.4%) had a score of 0.5 or higher. We collected 1021 samples for Xpert testing and detected 85 (8%) individuals with TB. Screening for prolonged cough only identified 40% of people with TB. Any symptom detected 90.6% of people with TB, but specificity was 11.4%. Using an AI abnormality score of 0.50 identified 89.4% of people with TB with a specificity of 62.8%.ConclusionsUltra-portable CXR can be used to provide more efficient TB screening in hard-to-reach areas. Symptom screening missed large proportions of people with bacteriologically confirmed TB. Employing AI to read CXR can improve triaging when human readers are unavailable and can save expensive diagnostic testing costs.

Community-supported self-administered tuberculosis treatment combined with active tuberculosis screening: a pilot experience in Conakry, Guinea

ABSTRACT Directly observed treatment (DOT) for tuberculosis (TB) is recommended by the World Health Organization. However, DOT does not always meet patients’ preferences, burdens health facilities, and is hard to implement in settings where access to healthcare services is regularly interrupted. A model addressing these limitations of DOT is community-supported self-administered treatment (CS-SAT), in which patients who self-administer TB treatment receive regular visits from community members. Guinea is a country with a high TB burden, recurrent epidemics, and periodic socio-political unrest. We piloted a CS-SAT model for drug-susceptible TB patients in Conakry, led by community volunteers, who also conducted active TB case finding among household contacts and referrals for isoniazid preventive treatment (IPT) in children below 5 years old. We aimed to assess TB treatment outcomes of patients on CS-SAT and describe the number of patients identified with TB case finding and IPT provision. Prospectively enrolled bacteriologically confirmed TB patients, presenting to two facilities, received monthly TB medication. Community volunteers performed bi-weekly (initiation phase) and later monthly (continuation phase) home visits to verify treatment adherence, screen household contacts for TB, and assess IPT uptake in children under five. Among 359 enrolled TB patients, 237 (66.0%) were male, and 37 (10.3%) were HIV-positive. Three hundred forty (94.7%) participants had treatment success, seven (1.9%) died, seven (1.9%) experienced treatment failure, and five (1.4%) were lost-to-follow-up. Among 1585 household contacts screened for TB, 26 (1.6%) had TB symptoms, of whom five (19.2%) were diagnosed with pulmonary TB. IPT referral was done for 376 children from 198 households. In a challenging setting, where DOT is often not feasible, CS-SAT led to successful TB treatment outcomes and created an opportunity for active TB case finding and IPT referral. We recommend the Guinean CS-SAT model for implementation in similar settings.

Comparing Catastrophic Costs: Active vs. Passive Tuberculosis Case Finding in Urban Vietnam.

Active case finding (ACF) is a strategy that aims to identify people with tuberculosis (TB) earlier in their disease. This outreach approach may lead to a reduction in catastrophic cost incurrence (costs exceeding 20% of annual household income), a main target of WHO's End TB Strategy. Our study assessed the socio-economic impact of ACF by comparing patient costs in actively and passively detected people with TB. Longitudinal patient cost surveys were prospectively fielded for people with drug-sensitive pulmonary TB, with 105 detected through ACF and 107 passively detected. Data were collected in four Vietnamese cities between October 2020 and March 2022. ACF reduced pre-treatment (USD 10 vs. 101, p < 0.001) and treatment costs (USD 888 vs. 1213, p < 0.001) in TB-affected individuals. Furthermore, it reduced the occurrence of job loss (15.2% vs. 35.5%, p = 0.001) and use of coping strategies (28.6% vs. 45.7%, p = 0.004). However, catastrophic cost incurrence was high at 52.8% and did not differ between cohorts. ACF did not significantly decrease indirect costs, the largest contributor to catastrophic costs. ACF reduces costs but cannot sufficiently reduce the risk of catastrophic costs. As income loss is the largest driver of costs during TB treatment, social protection schemes need to be expanded.

Risk-adjusted community based active tuberculosis case finding strategy in Central Ethiopia

Risk-adjusted community based active tuberculosis case finding strategy in Central Ethiopia

Economic evaluation of a community health worker model for tuberculosis care in Ho Chi Minh City, Viet Nam: a mixed-methods Social Return on Investment Analysis

BackgroundThere is extensive evidence for the cost-effectiveness of programmatic and additional tuberculosis (TB) interventions, but no studies have employed the social return on investment (SROI) methodology. We conducted a SROI analysis to measure the benefits of a community health worker (CHW) model for active TB case finding and patient-centered care.MethodsThis mixed-method study took place alongside a TB intervention implemented in Ho Chi Minh City, Viet Nam, between October-2017 – September-2019. The valuation encompassed beneficiary, health system and societal perspectives over a 5-year time-horizon. We conducted a rapid literature review, two focus group discussions and 14 in-depth interviews to identify and validate pertinent stakeholders and material value drivers. We compiled quantitative data from the TB program’s and the intervention’s surveillance systems, ecological databases, scientific publications, project accounts and 11 beneficiary surveys. We mapped, quantified and monetized value drivers to derive a crude financial benefit, which was adjusted for four counterfactuals. We calculated a SROI based on the net present value (NPV) of benefits and investments using a discounted cash flow model with a discount rate of 3.5%. A scenario analysis assessed SROI at varying discount rates of 0-10%.ResultsThe mathematical model yielded NPVs of US$235,511 in investments and US$8,497,183 in benefits. This suggested a return of US$36.08 for each dollar invested, ranging from US$31.66-US39.00 for varying discount rate scenarios.ConclusionsThe evaluated CHW-based TB intervention generated substantial individual and societal benefits. The SROI methodology may be an alternative for the economic evaluation of healthcare interventions.