Active Tuberculosis Case Finding Research Articles

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 & 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.

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.

Impact of Community-Wide Tuberculosis Active Case Finding and Human Immunodeficiency Virus Testing on Tuberculosis Trends in Malawi.

Tuberculosis case-finding interventions are critical to meeting World Health Organization End TB strategy goals. We investigated the impact of community-wide tuberculosis active case finding (ACF) alongside scale-up of human immunodeficiency virus (HIV) testing and care on trends in adult tuberculosis case notification rates (CNRs) in Blantyre, Malawi. Five rounds of ACF for tuberculosis (1-2 weeks of leafleting, door-to-door enquiry for cough and sputum microscopy) were delivered to neighborhoods ("ACF areas") in North-West Blantyre between April 2011 and August 2014. Many of these neighborhoods also had concurrent HIV testing interventions. The remaining neighborhoods in Blantyre City ("non-ACF areas") provided a non-randomized comparator. We analyzed TB CNRs from January 2009 until December 2018. We used interrupted time series analysis to compare tuberculosis CNRs before ACF and after ACF, and between ACF and non-ACF areas. Tuberculosis CNRs increased in Blantyre concurrently with start of ACF for tuberculosis in both ACF and non-ACF areas, with a larger magnitude in ACF areas. Compared to a counterfactual where pre-ACF CNR trends continued during ACF period, we estimated there were an additional 101 (95% confidence interval [CI] 42 to 160) microbiologically confirmed (Bac+) tuberculosis diagnoses per 100 000 person-years in the ACF areas in 3 and a half years of ACF. Compared to a counterfactual where trends in ACF area were the same as trends in non-ACF areas, we estimated an additional 63 (95% CI 38 to 90) Bac + diagnoses per 100 000 person-years in the same period. Tuberculosis ACF was associated with a rapid increase in people diagnosed with tuberculosis in Blantyre.

Comparison of active tuberculosis case finding strategies for immigrants in South Korea: Epidemiology and cost-effectiveness analysis.

Tuberculosis (TB) is one of the serious infectious diseases in South Korea, with 49 new cases per 100,000 people and 629 multi-drug resistant (MDR) cases reported in 2020. TB is increasing among immigrants in S. Korea, and various TB case finding strategies are being performed for screening. We compared active case finding (ACF) with passive case finding (semi-PCF) across epidemiological characteristics and investigated a cost-effective strategy for screening immigrants for TB. ACF driven by non-governmental organizations and semi-PCF as part of the government's visa renewal process using CXR with additional acid-fast bacilli (AFB) smear and cultures were performed. Epidemiological parameters were compared between the two TB screening projects, and costs were collected. Cost-effectiveness was evaluated using a decision analysis model from the health system perspective. The primary outcome was incremental cost-effectiveness ratio (ICER) per averted TB case. Additional probabilistic sensitivity analysis was conducted. ACF (2.02%) showed a higher TB prevalence rate than semi-PCF (0.67%) on CXR. For subjects older than 60 years, the suspected TB rate on CXR was significantly higher in ACF (36.6%) than in semi-PCF (12.2%) (P<0.01). TB incidence among the family visa type was significantly higher in ACF (1.96%) than in semi-PCF (0.88%) (P < 0.0012). Costs for ACF ($666.92) were $20.784 higher than for semi-PCF ($646.13), but TB progression decreased by 0.02, resulting in an ICER of $948.18 per averted TB case. In sensitivity analysis, the indirect costs of ACF and semi-PCF had the highest impact on ICER. ACF found more TB cases than semi-PCF through CXR screening, and suspect cases with old age and family visa type were more common in ACF than in semi-PCF. ACF is cost-effective as a TB screening strategy for immigrants.

Active Case Finding for Tuberculosis among Health Care Workers in a Teaching Hospital, Puducherry, India.

Health care workers (HCWs) are at risk of acquiring tuberculosis (TB) infection and disease due to occupational exposure. But there are no national guidelines on routine screening for TB (active case finding (ACF)) among HCWs and understand its implementation and feasibility. This study was conducted among HCWs in a teaching hospital in India. We used symptom screening to identify those with presumptive TB and were further evaluated for diagnosis of TB. A total of 1,001 HCWs were screened over a period of 18 months. In our study, 51 (5.1%) HCWs were found to have presumptive TB and on further evaluation, 5 (0.5%) of these patients were diagnosed with active TB. The number needed to screen (NNS) for one active TB among the HCWs was 200. Alcohol use was significantly associated with both presumptive TB (P = 0.037) and active TB (P = 0.035) among HCWs, and exposure to active TB patients (P = 0.014) in the family and workplace and increased frequency of exposures (P = <0.001) were associated with presumptive TB. ACF for TB among HCWs had a good yield in our study. ACF utilizing routine national TB program guidelines is feasible to be implemented among HCWs to aid in the early diagnosis and treatment of TB in this high-risk group.

A systematic review and meta-analysis of active case finding for tuberculosis in India.

Active case finding (ACF) for tuberculosis (TB) is the cornerstone case-finding strategy in India's national TB policy. However, ACF strategies are highly diverse and pose implementation challenges in routine programming. We reviewed the literature to characterise ACF in India; assess the yield of ACF for different risk groups, screening locations, and screening criteria; and estimate losses to follow-up (LTFU) in screening and diagnosis. We searched PubMed, EMBASE, Scopus, and the Cochrane library to identify studies with ACF for TB in India from November 2010 to December 2020. We calculated 1) weighted mean number needed to screen (NNS) stratified by risk group, screening location, and screening strategy; and 2) the proportion of screening and pre-diagnostic LTFU. We assessed risk of bias using the AXIS tool for cross-sectional studies. Of 27,416 abstracts screened, we included 45 studies conducted in India. Most studies were from southern and western India and aimed to diagnose pulmonary TB at the primary health level in the public sector after screening. There was considerable heterogeneity in risk groups screened and ACF methodology across studies. Of the 17 risk groups identified, the lowest weighted mean NNS was seen in people with HIV (21, range 3-89, n=5), tribal populations (50, range 40-286, n=3), household contacts of people with TB (50, range 3-undefined, n=12), people with diabetes (65, range 21-undefined, n=3), and rural populations (131, range 23-737, n=5). ACF at facility-based screening (60, range 3-undefined, n=19) had lower weighted mean NNS than at other screening locations. Using the WHO symptom screen (135, 3-undefined, n=20) had lower weighted mean NNS than using criteria of abnormal chest x-ray or any symptom. Median screening and pre-diagnosis loss-to-follow-up was 6% (IQR 4.1%, 11.3%, range 0-32.5%, n=12) and 9.5% (IQR 2.4%, 34.4%, range 0-86.9%, n=27), respectively. For ACF to be impactful in India, its design must be based on contextual understanding. The narrow evidence base available currently is insufficient for effectively targeting ACF programming in a large and diverse country. Achieving case-finding targets in India requires evidence-based ACF implementation. WHO Global TB Programme.

The Performance of Computer-Aided Detection Digital Chest X-ray Reading Technologies for Triage of Active Tuberculosis Among Persons With a History of Previous Tuberculosis.

Digital chest X-ray (dCXR) computer-aided detection (CAD) technology uses lung shape and texture analysis to determine the probability of tuberculosis (TB). However, many patients with previously treated TB have sequelae, which also distort lung shape and texture. We evaluated the diagnostic performance of 2 CAD systems for triage of active TB in patients with previously treated TB. We conducted a retrospective analysis of data from a cross-sectional active TB case finding study. Participants ≥15 years, with ≥1 current TB symptom and complete data on history of previous TB, dCXR, and TB microbiological reference (Xpert MTB/RIF) were included. dCXRs were evaluated using CAD4TB (v.7.0) and qXR (v.3.0). We determined the diagnostic accuracy of both systems, overall and stratified by history of TB, using a single threshold for each system that achieved 90% sensitivity and maximized specificity in the overall population. Of 1884 participants, 452 (24.0%) had a history of previous TB. Prevalence of microbiologically confirmed TB among those with and without history of previous TB was 12.4% and 16.9%, respectively. Using CAD4TB, sensitivity and specificity were 89.3% (95% CI: 78.1-96.0%) and 24.0% (19.9-28.5%) and 90.5% (86.1-93.3%) and 60.3% (57.4-63.0%) among those with and without previous TB, respectively. Using qXR, sensitivity and specificity were 94.6% (95% CI: 85.1-98.9%) and 22.2% (18.2-26.6%) and 89.7% (85.1-93.2%) and 61.8% (58.9-64.5%) among those with and without previous TB, respectively. The performance of CAD systems as a TB triage tool is decreased among persons previously treated for TB.

Factors Affecting the Transition from Paper to Digital Data Collection for Mobile Tuberculosis Active Case Finding in Low Internet Access Settings in Pakistan.

Between September 2020 and March 2021, Mercy Corps piloted hybrid digital (CAPI) and paper-based (PAPI) data collection as part of its tuberculosis (TB) active case finding strategy. Data were collected using CAPI and PAPI at 140 TB chest camps in low Internet access areas of Punjab and Khyber Pakhtunkhwa provinces in Pakistan. PAPI data collection was performed primarily during the camp and entered using a tailor-performed CAPI tool after camps. To assess the feasibility of this hybrid approach, quality of digital records were measured against the paper “gold standard”, and user acceptance was evaluated through focus group discussions. Completeness of digital data varied by indicator, van screening team, and month of implementation: chest camp attendees and pulmonary TB cases showed the highest CAPI/PAPI completeness ratios (1.01 and 0.96 respectively), and among them, all forms of TB diagnosis and treatment initiation were lowest (0.63 and 0.64 respectively). Vans entering CAPI data with high levels of completeness generally did so for all indicators, and significant differences in mean indicator completeness rates between PAPI and CAPI were observed between vans. User feedback suggested that although the CAPI tool required practice to gain proficiency, the technology was appreciated and will be better perceived once double entry in CAPI and PAPI can transition to CAPI only. CAPI data collection enables data to be entered in a more timely fashion in low-Internet-access settings, which will enable more rapid, evidence-based program steering. The current system in which double data entry is conducted to ensure data quality is an added burden for staff with many activities. Transitioning to a fully digital data collection system for TB case finding in low-Internet-access settings requires substantial investments in M&E support, shifts in data reporting accountability, and technology to link records of patients who pass through separate data collection stages during chest camp events.