An evaluation protocol of ‘Replicability Model’ project for detection and treatment of leprosy and related disability in Chhattisgarh, India

Joydeepa Darlong, Karthikeyan Govindasamy, Onaedo Ilozumba, Sopna Choudhury, Anjali Shrivastva, Frances Griffiths, Samuel Watson, Jo Sartori and Richard Lilford

PLOS ONE, 2023, vol. 18, issue 10, 1-11

Abstract: Introduction: People affected by leprosy are at increased risk of impairments and deformities from peripheral nerve damage. This mostly occurs if diagnosis and treatment is delayed and contributes to continued transmission within the community. Champa district of Chhattisgarh state in India is an endemic area with the highest national annual case detection and disability rates for leprosy. The Replicability Model is a system strengthening intervention implemented by the Leprosy Mission Trust India in Champa that aims to promote early diagnosis and treatment of leprosy, improve on-going management of the effects of leprosy and improve welfare for the people affected by leprosy. This protocol presents a plan to describe the overall implementation of the Replicability Model and describe the barriers and facilitators encountered in the process. We will also quantify the effect of the program on one of its key aims- early leprosy diagnosis. Methods: The replicability model will be implemented over four years, and the work described in this protocol will be conducted in the same timeframe. We have two Work Packages (WPs). In WP1, we will conduct a process evaluation. This will include three methods i) observations of replicability model implementation teams’ monthly meetings ii) key informant interviews (n = 10) and interviews with stakeholders (n = 30) iii) observations of key actors (n = 15). Our purpose is to describe the implementation process and identify barriers and facilitators to successful implementation. WP2 will be a quantitative study to track existing and new cases of leprosy using routinely collected data. If the intervention is successful, we expect to see an increase in cases (with a higher proportion detected at an early clinical stage) followed by a decrease in total cases. Conclusion: This study will enable us to improve and disseminate the Replicability Model by identifying factors that promote success. It will also identify its effectiveness in fulfilling one of its aims: reducing the incidence of leprosy by finding and tracking cases at an earlier stage in the disease.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0275763

DOI: 10.1371/journal.pone.0275763

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