Abstract

Purpose: The world is approaching the sustainable development goals deadline, but many countries still do not produce the data required to track their indicators by disability. Integrating valid and relievable disability measurement tools into existing data platforms is key to ensuring that “no one is left behind.” In this paper, we aim to demonstrate that it is possible to gather valid data on disability for disaggregation using the WHO Functioning and Disability Disaggregation Tool.Materials and methods: Using representative data from India, Lao PDR, and Tajikistan collected through the Gallup World Poll, we estimated the likelihood of a positive sustainable development indicator by disability level. Logit regression was used, adjusted for age, sex, household size, number of children, marital status, urban or rural area, and country-fixed effects.Results: Our estimates showed a consistent disability gradient across all countries and indicators: the higher the level of disability, the lower the probability of having a positive outcome in barely any sustainable development goal.Conclusion: Our study demonstrates that it is not too late to generate sound and precise data about inequalities faced by persons with mild, moderate, or severe disability. This data is essential for reducing inequalities through evidence-based policymaking.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.