Litcius/Paper detail

Adapting active case-finding for TB during the COVID-19 pandemic in Yogyakarta, Indonesia

Geoff Chan, Rina Triasih, Betty Weri Yolanda Nababan, Philipp du Cros, Nova Wilks, Stephanie Main, Garry Huang, Dian-Er Lin, Stephen M. Graham, Suman Majumdar, Mirjam I. Bakker, Amera Khan, F. A. Khan, Bintari Dwihardiani

2021Public Health Action28 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PandemicMedicineCoronavirus disease 2019 (COVID-19)MalariaTransmission (telecommunications)Case findingEnvironmental healthMedical emergencyTuberculosisImmunologyInfectious disease (medical specialty)Computer sciencePathologyDiseaseTelecommunicationsTuberculosis Research and EpidemiologyPneumonia and Respiratory InfectionsCOVID-19 diagnosis using AI