scholarly journals Determining the value of TB active case-finding: current evidence and methodological considerations

2021 ◽  
Vol 25 (3) ◽  
pp. 171-181
Author(s):  
H. Sohn ◽  
S. Sweeney ◽  
D. Mudzengi ◽  
J. Creswell ◽  
N. A. Menzies ◽  
...  

Active case-finding (ACF) is an important component of the End TB Strategy. However, ACF is resource-intensive, and the economics of ACF are not well-understood. Data on the costs of ACF are limited, with little consistency in the units and methods used to estimate and report costs. Mathematical models to forecast the long-term effects of ACF require empirical measurements of the yield, timing and costs of case detection. Pragmatic trials offer an opportunity to assess the cost-effectiveness of ACF interventions within a ‘real-world´ context. However, such analyses generally require early introduction of economic evaluations to enable prospective data collection on resource requirements. Closing the global case-detection gap will require substantial additional resources, including continued investment in innovative technologies. Research is essential to the optimal implementation, cost-effectiveness, and affordability of ACF in high-burden settings. To assess the value of ACF, we must prioritize the collection of high-quality data regarding costs and effectiveness, and link those data to analytical models that are adapted to local settings.

PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0210919 ◽  
Author(s):  
Sovannary Tuot ◽  
Alvin Kuo Jing Teo ◽  
Danielle Cazabon ◽  
Say Sok ◽  
Mengieng Ung ◽  
...  

Author(s):  
Shifa Habib ◽  
Kiran Azeemi ◽  
S. M. Asad Zaidi ◽  
Wafa Jamal ◽  
Talha Kazmi ◽  
...  

2014 ◽  
Vol 90 (5) ◽  
pp. 866-872 ◽  
Author(s):  
Rajendra P. Yadav ◽  
Nobuyuki Nishikiori ◽  
Peou Satha ◽  
Mao T. Eang ◽  
Yoel Lubell

2017 ◽  
Vol 145 (6) ◽  
pp. 1107-1117 ◽  
Author(s):  
L. SHAH ◽  
M. ROJAS ◽  
O. MORI ◽  
C. ZAMUDIO ◽  
J. S. KAUFMAN ◽  
...  

SUMMARYWe compared the cost-effectiveness (CE) of an active case-finding (ACF) programme for household contacts of tuberculosis (TB) cases enrolled in first-line treatment to routine passive case-finding (PCF) within an established national TB programme in Peru. Decision analysis was used to model detection of TB in household contacts through: (1) self-report of symptomatic cases for evaluation (PCF), (2) a provider-initiated ACF programme, (3) addition of an Xpert MTB/RIF diagnostic test for a single sputum sample from household contacts, and (4) all strategies combined. CE was calculated as the incremental cost-effectiveness ratio (ICER) in terms of US dollars per disability-adjusted life years (DALYs) averted. Compared to PCF alone, ACF for household contacts resulted in an ICER of $2155 per DALY averted. The addition of the Xpert MTB/RIF diagnostic test resulted in an ICER of $3275 per DALY averted within a PCF programme and $3399 per DALY averted when an ACF programme was included. Provider-initiated ACF of household contacts in an urban setting of Lima, Peru can be highly cost-effective, even including costs to seek out contacts and perform an Xpert/MTB RIF test. ACF including Xpert MTB/RIF was not cost-effective if TB cases detected had high rates of default from treatment or poor outcomes.


2021 ◽  
Vol 11 (2) ◽  
pp. 41-49
Author(s):  
G. Chan ◽  
R. Triasih ◽  
B. Nababan ◽  
P. du Cros ◽  
N. Wilks ◽  
...  

The COVID-19 pandemic and response measures, including lockdowns and the reorientation of health services, have disrupted essential health services for other diseases, including TB, HIV and malaria. For TB, reductions in case detection due to the COVID-19 pandemic are projected to result in increased TB transmission, morbidity and mortality. Active case-finding (ACF) for TB using community-based approaches is a potential strategy to offset reductions in TB detection by obviating the need for patients to seek care at a health facility. A number of approaches can be used to conduct TB ACF safely and screen designated target populations while managing the risks of SARS-CoV-2 transmission for staff, individuals and the community. We present a framework of options for and experience of adapting TB ACF services in response to the challenges of COVID-19 in our programme in Yogyakarta, Indonesia. Key changes have included revised prioritisation of target populations focusing on household contacts, reducing case-finding throughput, implementation of additional infection control measures and precautions, and integration of COVID-19 screening among those being screened for TB. Our approach could inform other programmes seeking to adapt TB ACF services to mitigate the negative impact of COVID-19 on TB case detection.


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