Integrating Geospatial Data and Measures of Disability and Wealth to Assess Inequalities in an Eye Health Survey: An Example from the Indian Sunderbans

Soumya Mohanty, Emma Jolley, Mohanty Rn, Sandeep Buttan and Elena Schmidt
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Soumya Mohanty: Monitoring Evaluation Research and Learning, Sightsavers India 110020, India
Emma Jolley: Research, Sightsavers, Haywards Heath RH16 3BW, UK
Mohanty Rn: India Directorate Sightsavers India 110020, India
Sandeep Buttan: Programme Development and Innovation Team, Sightsavers India 110020, India
Elena Schmidt: Programme Development, Evidence and Research, Sightsavers, Haywards Heath RH16 3BW, UK

IJERPH, 2019, vol. 16, issue 23, 1-11

Abstract: The Sunderbans are a group of delta islands that straddle the border between India and Bangladesh. For people living on the Indian side, health services are scarce and the terrain makes access to what is available difficult. In 2018, the international non-governmental organisation Sightsavers and their partners conducted a population-based survey of visual impairment and coverage of cataract and spectacle services, supplemented with tools to measure equity in eye health by wealth, disability, and geographical location. Two-stage cluster sampling was undertaken to randomly select 3868 individuals aged 40+ years, of whom 3410 were examined. Results were calculated using standard statistical processes and geospatial approaches were used to visualise the data. The age–sex adjusted prevalence of blindness was 0.8%, with higher prevalence among women (1.1%). Cataract Surgical Coverage for eyes at visual acuity (VA) 3/60 was 86.3%. The study did not find any association between visual impairment and wealth, however there were significant differences by additional (non-visual) disabilities at all levels of visual impairment. Geospatial mapping highlighted blocks where higher prevalence of visual impairment was identified. Integrating additional tools in population-based surveys is critical for measuring eye health inequalities and identifying population groups and locations that are at risk of being left behind.

Keywords: Blindness; visual impairment; cataract surgical coverage; GIS and spatial analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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