Geographical targeting of active case finding for tuberculosis in Pakistan using hotspots identified by artificial intelligence software (SPOT-TB): study protocol for a pragmatic stepped wedge cluster randomised control trial.

ABSTRACT:

Introduction

Pakistan has significantly strengthened its capacity for active case finding (ACF) for tuberculosis (TB) that is being implemented at scale in the country. However, yields of ACF have been lower than expected, raising concerns on its effectiveness in the programmatic setting. Distribution of TB in communities is likely to be spatially heterogeneous and targeting of ACF in areas with higher TB prevalence may help improve yields. The primary aim of SPOT-TB is to investigate whether a policy change to use a geographically targeted approach towards ACF supported by an artificial intelligence (AI) software, MATCH-AI, can improve yields in Pakistan.

Methods and analysis

SPOT-TB will use a pragmatic, stepped wedge cluster randomised design. A total of 30 mobile X-ray u

SUBMITTER: Zaidi SMA 

PROVIDER: S-EPMC11243128 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature