Should active case-finding projects increase the number of tuberculosis cases notified at national level?

Community health care workers in pursuit of TB: Discourses and dilemmas

Community-led tuberculosis (TB) active case finding is widely promoted, heavily funded, but many efforts fail to meet expectations. The underlying reasons why TB symptom screening programs underperform are poorly understood. This study examines Nigerian stakeholders' insights to characterize the mechanisms, enabling structures and influences that lead programs to succeed or fail. Eight focus group discussions were held with Community Health Workers (CWs) from four models of community-based TB screening and referral. In-depth interviews were conducted with 2 State TB program managers, 8 Community based organizations (CBOs), and 6 state TB and Leprosy Local Government supervisors. Transcripts were coded using Framework Analysis to assess how divergent understandings of CWs' roles, expectations, as well as design, political and structural factors contributed to the observed underperformance. Altruism, religious faith, passion, and commitment to the health and well-being of their communities were reasons CWs gave for starting TB symptom screening and referral. Yet politicized or donor-driven CWs' selection processes at times yielded implementers without a firm grounding in TB or the social, cultural, and physical terrain. CWs encountered suspicion, stigma, and hostility in both health facilities and communities. As the interface between the TB program and communities, CWs often bore the brunt of frustrations with inadequate TB services and CBO/iNGO collaboration. Some CWs expended their own social and financial capital to cover gaps in the active case finding (ACF) programs and public health services or curtailed their screening activities. Effective community-led TB active case finding is challenging to design, implement and sustain. Contrary to conventional wisdom, CWs did not experience it as inherently empowering. Sustainable, supportive models that combine meaningful engagement for communities with effective program stewardship and governance are needed. Crucially effective and successful implementation of community-based TB screening and referral requires a functional public health system to which to refer.

Optimizing community screening for tuberculosis: Spatial analysis of localized case finding from door-to-door screening for TB in an urban district of Ho Chi Minh City, Viet Nam

BACKGROUND

Tuberculosis (TB) is the deadliest infectious disease globally. Current case finding approaches may miss many people with TB or detect them too late.

DATA AND METHODS

This study was a retrospective, spatial analysis of routine TB surveillance and cadastral data in Go Vap district, Ho Chi Minh City. We geocoded TB notifications from 2011 to 2015 and calculated theoretical yields of simulated door-to-door screening in three concentric catchment areas (50m, 100m, 200m) and three notification window scenarios (one, two and four quarters) for each index case. We calculated average yields, compared them to published reference values and fit a GEE (Generalized Estimating Equation) linear regression model onto the data.

RESULTS

The sample included 3,046 TB patients. Adjusted theoretical yields in 50m, 100m and 200m catchment areas were 0.32% (95%CI: 0.27,0.37), 0.21% (95%CI: 0.14,0.29) and 0.17% (95%CI: 0.09,0.25), respectively, in the baseline notification window scenario. Theoretical yields in the 50m-catchment area for all notification window scenarios were significantly higher than a reference yield from literature. Yield was positively associated with treatment failure index cases (beta = 0.12, p = 0.001) and short-term inter-province migrants (beta = 0.06, p = 0.022), while greater distance to the DTU (beta = -0.02, p<0.001) was associated with lower yield.

CONCLUSIONS

This study is an example of inter-departmental collaboration and application of repurposed cadastral data to progress towards the end TB objectives. The results from Go Vap showed that the use of spatial analysis may be able to identify areas where targeted active case finding in Vietnam can help improve TB case detection.