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1Everybody Counts
Everybody Counts
Learnings from data disaggregated by
disabilities (DDD) pilot project
Archana Bhambal
2Everybody Counts
…………………………………………………………………………………..........................
• Our vision is of a world where no
one is bli...
3Everybody Counts
…………………………………………………………………………………..........................
Why Disability Disaggregation Data
• WHO Globa...
4Everybody Counts
…………………………………………………………………………………..........................
Disability Disaggregation Pilot Project
Projec...
5Everybody Counts
…………………………………………………………………………………..........................
Pilot Projects
• New eye health programme
• Ur...
6Everybody Counts
…………………………………………………………………………………..........................
Washington Group
Introductory phrase: The next...
7Everybody Counts
…………………………………………………………………………………..........................
Patient exit interviews
Daily diary of data co...
8Everybody Counts
…………………………………………………………………………………..........................
• Data collected on over 20,000 patients above...
9Everybody Counts
…………………………………………………………………………………..........................
Useful lessons in SDG context
• Sensitisation ...
10Everybody Counts
…………………………………………………………………………………..........................
Further information:
http://www.sightsavers.o...
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Everybody Counts: Learnings from data disaggregated by disabilities (DDD) pilot project

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Presentation of the pilot project in Bhopal, including methodology, results and useful lessons in the SDG context.

Presented by Archana Bhambal (Area Director of Sightsavers, India) at the Vision 2020 12th Annual Conference in Pune, India, 4-5 June 2016. This presentation won the first prize in its track.

Published in: Government & Nonprofit
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Everybody Counts: Learnings from data disaggregated by disabilities (DDD) pilot project

  1. 1. 1Everybody Counts Everybody Counts Learnings from data disaggregated by disabilities (DDD) pilot project Archana Bhambal
  2. 2. 2Everybody Counts ………………………………………………………………………………….......................... • Our vision is of a world where no one is blind from avoidable causes and where visually impaired people participate equally in society. • We are an international organization working with partners in developing countries to eliminate avoidable blindness and promote equality of opportunity for disabled people Sightsavers Vision and Mission
  3. 3. 3Everybody Counts ………………………………………………………………………………….......................... Why Disability Disaggregation Data • WHO Global Action Plan 2014- 2019 talks about Universal Eye Health ‘A world in which nobody is needlessly visually impaired, where those with unavoidable vision loss can achieve their full potential, and where there is universal access to comprehensive eye care services’ • MDGs talked about ’universal’ Universal is incomplete without the inclusion of Persons with Disabilities (PWDs) • For SDGs – DDD is essential requirement for all development Programme
  4. 4. 4Everybody Counts ………………………………………………………………………………….......................... Disability Disaggregation Pilot Project Project Objectives: • To understand whether people with disabilities are accessing our services • To build the evidence base on how to disaggregate routine data by disability and share with others • To ultimately make Sightsavers projects more inclusive of people with disabilities.
  5. 5. 5Everybody Counts ………………………………………………………………………………….......................... Pilot Projects • New eye health programme • Urban slums (Hospital and Vision Centre) • Partners: local community development organisation and an eye hospital • India Census 2011: 2.1% prevalence of disability in MP (Q: ‘is X disabled?’) • Legal definition (medical certification) • Translate WG in to Hindi • Electronic tool (HMIS)
  6. 6. 6Everybody Counts ………………………………………………………………………………….......................... Washington Group Introductory phrase: The next questions ask about difficulties you may have doing certain activities because of a HEALTH PROBLEM. 1. Do you have difficulty seeing, even if wearing glasses? 2. Do you have difficulty hearing, even if using a hearing aid? 3. Do you have difficulty walking or climbing steps? 4. Do you have difficulty remembering or concentrating? 5. Do you have difficulty (with self-care such as) washing all over or dressing? 6. Using your usual (customary) language, do you have difficulty communicating, for example understanding or being understood? Response categories: a. No – no difficulty; b. Yes – some difficulty; c. Yes – a lot of difficulty and d. Cannot do at all The recommended Washington Group cut off is at least 1 c or d
  7. 7. 7Everybody Counts ………………………………………………………………………………….......................... Patient exit interviews Daily diary of data collectors Spot checks •Key actors and decision makers on disability Sensitisation •Washington Group (WG) questionnaire translated into Hindi Tool finalisation •On WG questionnaire and data collection Staff training •Quality control and process monitoring Data Collection •Integration in MIS and use for planning Inclusive Eye Health programmes Analysis Gather evidence about process and experiences of stakeholders Process
  8. 8. 8Everybody Counts ………………………………………………………………………………….......................... • Data collected on over 20,000 patients above age of 18 years in India; 51.9 percent were females 0.84% 8.5% 16.7% 0% 5% 10% 15% 20% when we ask them directly if they are disabled (as in the nationl census) when we exclude slight domain Project clients reporting severe or completely limiting difficulties in atleast one domain Results
  9. 9. 9Everybody Counts ………………………………………………………………………………….......................... Useful lessons in SDG context • Sensitisation and training ensure buy-in of the stakeholders • Different definitions of disability will give different results– comparability of the data will be key. • There is no single approach to data collection, it needs to be adapted to each context. • Integrate the questionnaire into existing practices to improve efficiency and reduce workload and cost. • Train people on how to analyse the data so they can use it for planning and decision making – ownership. • Developing a clear advocacy plan at the outset to make use of the data, engaging policymakers.
  10. 10. 10Everybody Counts ………………………………………………………………………………….......................... Further information: http://www.sightsavers.org/everybodycounts/ abhambal@sightsavers.org pthivillier@sightsavers.org Thank you!

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