Abstract

BackgroundThere is a dearth of comparative effectiveness research examining the implementation of different strategies for active tuberculosis (TB) case finding, particularly in rural settings, which represent 60% of the population of sub-Saharan Africa.Methods and findingsWe conducted a pragmatic, cluster-randomized comparative effectiveness trial of two TB case finding strategies (facility-based screening and contact tracing) in 56 public primary care clinics in two largely rural districts of Limpopo Province, South Africa. In the facility-based screening arm, sputum Xpert MTB/RIF was performed on all patients presenting (for any reason) with TB symptoms to 28 study clinics, and no contact tracing was performed. In the contact-tracing arm, contacts of patients with active TB were identified (via household tracing in 14 clinics and using small monetary incentives in the other 14 clinics), screened for TB symptoms, and offered Xpert MTB/RIF testing. The primary outcome was the number of newly identified patients with TB started on treatment. The analysis used multivariable Poisson regression adjusted for historical clinic-level TB case volumes and district. The trial was registered with ClinicalTrials.gov (NCT02808507). From July 18, 2017, to January 17, 2019, a total of 3,755 individuals started TB treatment across 56 study clinics in the 18-month period. Clinic characteristics and clinic-level averages of patient characteristics were similar across the two arms: 40/56 (71%) clinics were in a rural location, 2,136/3,655 (58%) patients were male, and 2,243 (61%) were HIV positive. The treatment initiation ratio comparing the yield of TB patients started on treatment in the facility-based arm compared to that from the contact-tracing arm was 1.04 (95% confidence interval [CI] 0.83–1.30, p = 0. 73). In the contact-tracing arm, 1,677 contacts of 788 new TB index patients were screened, yielding 12 new patients with TB. Prespecified subgroup analyses resulted in similar results, with estimated treatment initiation ratios of 0.96 (95% CI 0.64–1.27; p = 0.78) and 1.23 (95% CI 0.87–1.59; p = 0.29) among historically smaller and historically larger clinics, respectively. This ratio was 1.02 (95% CI 0.66–1.37; p = 0.93) and 1.08 (95% CI 0.74–1.42; p = 0.68) in the Vhembe and Waterberg districts, respectively. The estimated treatment initiation ratio was unchanged in sensitivity analyses excluding 24 records whose TB registration numbers could not be verified (1.03, 95% CI 0.82–1.29; p = 0.78) and excluding transfers-in (1.02, 95% CI 0.80–1.29; p = 0.71). Study limitations include the possibility of imbalance on cluster size owing to changes in catchment population over time and the inability to distinguish the independent effects of the two contact investigation strategies.ConclusionsContact tracing based on symptom screening and Xpert MTB/RIF testing did not increase the rate of treatment initiation for TB relative to the less resource-intensive approach of facility-based screening in this rural sub-Saharan setting.Trial registrationClinicalTrials.gov NCT02808507.

Highlights

  • Tuberculosis (TB) is the world’s leading infectious disease killer, causing 10 million new cases and 1.3 million deaths in 2017 [1]

  • Contact tracing based on symptom screening and Xpert MTB/RIF testing did not increase the rate of treatment initiation for TB relative to the less resource-intensive approach of facility-based screening in this rural sub-Saharan setting

  • In the contact-tracing arm, 89% were primary health clinic (PHC) compared to 64% in the facility-based screening arm

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Summary

Introduction

Tuberculosis (TB) is the world’s leading infectious disease killer, causing 10 million new cases and 1.3 million deaths in 2017 [1]. Evidence from a recent study in across 70 districts in Vietnam demonstrates that household contact tracing is effective in identifying more patients with TB compared to passive case finding even in rural settings (which made up nearly half the study area), but this study involved intensive human resource and diagnostic efforts, including the use of TB culture [3]. It remains unclear whether active case finding strategies, including household contact tracing, will result in increased case detection when implemented as part of routine care or whether resources are better directed to augment case finding within health facilities. There is a dearth of comparative effectiveness research examining the implementation of different strategies for active tuberculosis (TB) case finding, in rural settings, which represent 60% of the population of sub-Saharan Africa

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