Litcius/Paper detail

Using timeliness metrics for household contact tracing and TB preventive therapy in the private sector, India

Pruthu Thekkur, Rajeswaran Thiagesan, Divya Nair, N Karunakaran, Mohammed Khogali, Rony Zachariah, Selma Dar Berger, Srinath Satyanarayana, A. M. V. Kumar, Aaron F. Bochner, Aaron McClelland, Ramya Ananthakrishnan, Anthony Harries

2024The International Journal of Tuberculosis and Lung Disease11 citationsDOI

Abstract

<sec id="st1"><title>BACKGROUND</title>Although screening of household contacts (HHCs) of TB patients and provision of TB preventive therapy (TPT) is a key intervention to end the TB epidemic, their implementation globally is dismal. We assessed whether introducing a ‘7-1-7’ timeliness metric was workable for implementing HHC screening among index patients with pulmonary TB diagnosed by private providers in Chennai, India, between November 2022 and March 2023.</sec><sec id="st2"><title>METHODS</title>This was an explanatory mixed-methods study (quantitative-cohort and qualitative-descriptive).</sec><sec id="st3"><title>RESULTS</title>There were 263 index patients with 556 HHCs. In 90% of index patients, HHCs were line-listed within 7 days of anti-TB treatment initiation. Screening outcomes were ascertained in 48% of HHCs within 1 day of line-listing. Start of anti-TB treatment, TPT or a decision to receive neither was achieved in 57% of HHC within 7 days of screening. Overall, 24% of screened HHCs in the ‘7-1-7’ period started TPT compared with 16% in a historical control ( P < 0.01). Barriers to achieving ‘7-1-7’ included HHC reluctance for evaluation or TPT, refusal of private providers to prescribe TPT and reliance on facility-based screening of HHCs instead of home visits by health workers for screening.</sec><sec id="st4"><title>CONCLUSIONS</title>Introduction of a timeliness metric is a workable intervention that adds structure to HHC screening and timely management.</sec>

Topics & Concepts

Private sectorTracingContact tracingBusinessEconomic growthMedicineEconomicsComputer scienceCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)PathologyDiseaseOperating systemHIV, Drug Use, Sexual RiskData-Driven Disease SurveillanceCOVID-19 epidemiological studies