Optimized Case Finding of tuberculosis among key populations in Ukraine. A follow up study.

INTRODUCTION: In 2021, there were 4 million tuberculosis (TB) cases that were not detected by health systems, globally. Many of those cases are among hard-to-reach populations or key population groups. An Optimized Case Finding (OCF) strategy was introduced in Ukraine to enhance case detection and identify those "missing" cases. OCF included screening of up to eight referred household and social network contacts of an index TB case. Following the OCF project implementation, TB detection and characteristics of index cases and contacts were assessed. METHODOLOGY: A cohort study using project data (July 2018 - April 2022) was conducted. RESULTS: In total 7,976 close contacts were engaged in the project from 1,028 index TB cases. Among the contacts, 507 were diagnosed with TB. The TB case detection was 6,356/100,000 and the number needed to investigate was 16. Multiple factors were identified as associated with TB detection including smoking, HIV, poverty, etc. About 90% of cases were identified at the initial screening of the contacts. OCF was proven to be 5.8 times more effective than the standard active case finding using household surveys and 106 times more effective than passive case finding in the general public. CONCLUSIONS: Our study demonstrated the effectiveness of OCF in detecting cases among key population groups and their social networks. We encourage adaptation and use of OCF by civil society organizations that already work with key vulnerable populations around the globe.

Contact Tracing and Tuberculosis Preventive Therapy for Household Child Contacts of Pulmonary Tuberculosis Patients in the Kyrgyz Republic: How Well Are We Doing?

Early identification, screening and investigation for tuberculosis (TB), and provision of TB preventive therapy (TPT), reduces risk of TB among child household contacts of pulmonary TB patients (index patients). A cohort study was conducted to describe the care cascade and timeliness of contact tracing and TPT initiation among child household contacts (aged < 15 years) of index patients initiated on TB treatment in Bishkek, the Kyrgyz Republic during October 2021-September 2022. In the register, information on the number of child household contacts was available for 153 (18%) of 873 index patients. Of 297 child household contacts identified, data were available for 285, of whom 261 (92%) were screened for TB. More than 50% were screened after 1 month of the index patient initiating TB treatment. TB was diagnosed in 23/285 (9%, 95% CI: 6-13%) children. Of 238 TB-free children, 130 (55%) were eligible for TPT. Of the latter, 64 (49%) were initiated on TPT, of whom 52 (81%) completed TPT. While TPT completion was excellent, there was deficiency in contact identification, timely screening and TPT initiation. Thus, healthcare providers should diligently request and record details of child household contacts, adhere to contact tracing timelines and counsel caregivers regarding TPT.

Breaking the paradigm: Optimized Case Finding multiplies tuberculosis detection among key populations in Ukraine.

INTRODUCTION: In 2018, there were 3 million "missed" tuberculosis (TB) cases globally, much of which was disproportionally concentrated among key populations. To enhance TB case-finding, an Optimized Case Finding (OCF) strategy involving all contacts within the social network of an index TB case was introduced in five regions of Ukraine. We assessed TB detection and linkage to TB treatment using OCF in key populations. METHODOLOGY: A cohort study using routine program data (July 2018 - March 2020). OCF empowers the index TB case to identify and refer up to eight close contacts within his/her social network for TB investigations. RESULTS: Of 726 index TB cases in key populations, 6,998 close contacts were referred for TB investigations and 275 were diagnosed with TB (183 drug-sensitive and 92 drug-resistant TB). The TB case detection rate was 3,930/100,000 and the Numbers Needed to Investigate to detect one TB case was 25. TB was most frequent among people who inject drugs and homeless groups. Compared to TB detection using routine household case finding within the general population (1,090/100,000), OCF was 3.6-fold more effective and when compared to passive case finding in the general population (60/100,000), OCF was 66 times more effective. 99% (273) of TB patients were linked to care and initiated TB treatment. CONCLUSIONS: The OCF strategy among key populations is very effective in identifying TB cases and involving them for treatment through the recruitment of the contacts from the risk social networks. We advocate to scale-up this case finding strategy in Ukraine and beyond.

Treatment success using novel and adapted treatment regimens in registered DR-TB children in Dushanbe, Tajikistan, 2013-2019.

INTRODUCTION: Approximately 3% of all pediatric TB cases develop MDR-TB, with only 3-4% of such children receiving MDR-TB treatment. In Tajikistan, children as a proportion of all DR-TB in the country increased from 4.3 to 7.5% during 2013-2018. Despite limited evidence on the use of new anti-TB drugs in children, WHO has updated its guidelines for DR-TB treatment for children, and Tajikistan did so in 2013 and 2017. Novel and adapted regimens included individual regimens for RR/MDR, XDR (with and without Bedaquiline and Delamanid) and short treatment regimens with and without injectables. It is important to document the outcomes of the treatment regimens. Therefore, the aim of this study was to describe characteristics of children receiving different treatment regimens for DR-TB, the culture conversion and treatment outcomes. METHODOLOGY: Cohort study of children enrolled in DR-TB treatment by the National Tuberculosis Program in Dushanbe, Tajikistan, January 2013 to July 2019. RESULTS: The study included 60 DR-TB children. The male to female ratio was 1:2 and mean age 13.6 years. Median time to culture conversion was 66 days [IQR:31-103; Range:2-232]. In children with treatment outcomes (N = 58), 93% had favorable outcomes. There were four children (7%) with unfavorable treatment outcomes, all of whom were female 15-17 years, on standard (RR/MDR) treatment during 2013-2015. Favorable outcomes by DR-TB type were 91%, 90%, and 100% in RR/MDR, PreXDR, and XDR-TB patients, respectively. CONCLUSIONS: All children enrolled after the introduction of modified guidelines for novel and adapted regimens for DR-TB showed positive TB treatment outcomes.

Primary healthcare centers engagement in tuberculosis treatment in Ukraine.

INTRODUCTION: We assessed the influence of a result-based financing (RBF) model, which included incentives for Primary Healthcare facilities on TB treatment outcomes. METHODOLOGY: We compared TB patients > 17 years and their treatment outcomes among those who did and did not benefit from RBF-model in 14 districts of Odeska oblast, Ukraine in 2017. Log-binomial regression was used to examine factors associated with being included in RBF-model. RESULTS: Of 2,269 reported TB patients, 308 (14%) were included in RBF-model. Most patients in the RBF-model were from rural areas 229 (74%), unemployed 218 (71%), and HIV-infected 131 (43%). Individuals from urban areas (Adjusted risk ratio, ARR =0.9, 95% Confidence Interval, CI:0.89-0.94), having drug-resistant TB (ARR = 0.3, 95% CI: 0.18-0.45), and relapse TB (ARR = 0.6, 95% CI:0.40-0.83) were less likely to be included in RBF-model. Favorable outcomes in new/relapse cases with RBF-model was 89% compared with 41% (p < 0.001) without RBF. Similarly, for other retreatment this was 83% versus 40% (p < 0.001). Failures in the no-RBF group was 29% for new and relapse cases while for other retreatment cases, it was 26% (significantly higher than in the RBF-model). CONCLUSION: RBF-model is effective in achieving high levels of favorable TB treatment outcomes. Almost three-in-ten TB patients in non-RBF category failed TB treatment despite having drug-susceptible TB. Efforts are now needed to include it within ongoing public health reforms and assess the feasibility of scaling-up this intervention through implementation research and dedicated funding.