Fig 1.
Visual Diagram of study design, data collection and products for assessing whether appreciative inquiry will reduce false positive leprosy diagnosis in Bihar, India (2016–2018).
Fig 2.
Map of Bihar State showing 4 districts involved in the study to assess whether appreciative inquiry will reduce false positive leprosy diagnosis in Bihar, India (2017–2018).
(Source for India admin shape files– http://diva-gis.org/download) free and open source. Software used to create Fig 2 –QGIS (previously known as Quantum GIS) is a free and open source cross platform desktop geographic information system (GIS) application that supports viewing, editing and analysis of geospatial data).
Table 1.
Classification, treatment regimen & treatment outcomes for leprosy as per national leprosy eradication programme in India.
Fig 3.
Validation of leprosy cases detected during 2016 and 2018 by DFIT in 8 blocks of 4 districts of Bihar, India 2016–2018.
Table 2.
Characteristics of the patients diagnosed during Leprosy case detection campaign (LCDC) and cases validated by DFIT in 8 blocks of 4 districts in Bihar, India (2016–2018).
Table 3.
Results and themes derived from appreciative inquiry prior to leprosy case detection campaign in Bihar, India (November 2017).
Table 4.
Association of appreciative inquiry and patient characteristics with false positive diagnosis of leprosy during Leprosy case detection campaign in Bihar, India (2016–2018).