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JMP and data reconciliation

JMP and data reconciliation. Workshop on Millennium Development Goals Monitoring 14-16 January 2009, Bangkok. Rifat Hossain Public Health and Environment World Health Organization. Rolf Luyendijk Statistics and Monitoring United Nations Children's Fund. This presentation covers….

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JMP and data reconciliation

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  1. JMP and data reconciliation Workshop on Millennium Development Goals Monitoring 14-16 January 2009, Bangkok Rifat Hossain Public Health and Environment World Health Organization Rolf Luyendijk Statistics and Monitoring United Nations Children's Fund

  2. This presentation covers… • What is JMP • How JMP estimates • Methodologies • JMP challenges • Multiple data sources • JMP's approach to reconcile • The ladder • JMP's reconciliation efforts

  3. JMP Monitors… MDG 7 Target 7c: • Halve, by 2015, the proportion of people without sustainable access to safe drinking water and basic sanitation Indicators: • Proportion of the population that has access to an improved drinking water source (urban and rural)‏ • Proportion of population that has access to an improvedsanitation facility (urban and rural)‏ uses uses

  4. JMP definitions of improved/unimproved Drinking Water Sanitation • Piped into dwelling, plot or yard • Public tap/standpipe • Tube well/borehole • Protected dug well • Protected spring • Rainwater collection • Flush/pour flush to: • piped sewer system • septic tank • pit latrine • Ventilated improved pit (VIP) latrine • Pit latrine with slab • Composting toilet IMPROVED • Unprotected dug well • Unprotected spring • Cart with small tank/drum • Tanker truck • Surface water (river, dam, lake, pond, stream, canal, irrigation canal)‏ • Bottled water (unless 2nd Improved source) • Flush/Pour flush to elsewhere • Pit latrine without slab/open pit • Bucket • Hanging toilet/hanging latrine • Shared sanitation of any type • No facilities, bush or field UN-IMPROVED

  5. Coverage distribution Reported data Survey data

  6. JMP uses National survey/census because… • More objective and reliable • Some facilities fallen out of order • Avoid double counting by not considering upgrading of improved facilities • Allows for analyses • Disaggregated into wealth quintiles • Comparable across countries • Monitor trends over time

  7. JMP cookbook ! 2 Years max. 4 Years max. 4 Years < 5 Years NO REGRESSION LINE ! 8 Years > 5 Years REGRESSION LINE ! 6 Years max. 6 Years max. 2 Years max. Coverage (%) • - 2 data points scenario - ≤ 4 year apart - > 5 years extrapolation Year

  8. How JMP estimates x X X X X NFHS03 X X Estimated coverage 1990: 52% (new baseline) 2002: 75% 2006: 82% Estimated coverage 2003 ≠ NFHS03 Estimated coverage 1990: 50% 2002: 77%

  9. A bold step… • Joint Monitoring Programme • Between WHO and UNICEF • …and Country X

  10. A complex sector • Data needs of a wide range of stakeholders • Multiple stakeholders with varying methodologies • Multiple data sources = Confusion • Reconciliation needed to bolster mutual cooperation and confidence building to strengthen national monitoring

  11. Major reasons for discrepancies • Differing sources of data • NSO – user based data • Sector – provider based data • Differing methodologies • Even with user based data • Countries sometimes use single data point • Differing population estimates • Most recent census vs. UNPD estimates • Differing definitions of urban/rural • NSO and Sectors not always agree • Differing definitions

  12. Reconciliation through dialogue/cooperation/coordination • Key players • National • NSO • Sectoral ministries • International (IHSN etc.) • Reconciliation • Development of framework and guidelines • Help implement the framework • JMP as a player • JMP as an honest broker

  13. Framework for reconciliation • Fill data gaps (with NSOs, sectors, regional bodies, other int. orgs) • Liaise with National authorities (in collaboration with regional bodies) • NSO as national data clearing house • Liaise with other international organizations • For greater synergy • Explain methodologies • Website • Workshops • National stakeholders' meeting • Promote the use of standardized data collection tools

  14. Framework for reconciliation (cont'd) • Data reconciliation • Consultation with national bodies • JMP website • Wiki style portal • Etc. • Reconcile sectoral and statistical datasets? • Agree on a single set of datasets • Construct a single ladder (possible?) • Show discrepancies through this ladder

  15. Improved sanitation facilities Piped water in dwelling, plot or yard Shared sanitation facilities Other improved drinking water sources Unimproved sanitation facilities Unimproved drinking water sources Open defecation JMP2008: The ladder approach… Sanitation (4 rungs) Water (3 rungs) • Moving from Improved/Unimproved dichotomy to a more refined situation Improved as per MDG

  16. Reconciliation with a more refined Ladder MDGDefinition • With access • Sewer connection • Septic tank • VIP/improved pit • Without access • Shared facilities • Unimproved facilities • Open defecation

  17. Comparing JMP and national definitions (after closing data gaps) MDGDefinition • With access • Sewer connection • Septic tank • VIP/improved pit • Without access • Shared facilities • Unimproved facilities • Open defecation

  18. Comparing JMP and national definitions (after closing data gaps) MDGDefinition • With access • Sewer connection • Septic tank • VIP/improved pit • Without access • Shared facilities • Unimproved facilities • Open defecation National Definition • With Access • Sewer connection • Septic tank • VIP/improved pit • Shared facilities • Unimproved facilities 52% 80% Differences due to differing definitions • Without Access • Open defecation

  19. Bangladesh puzzle Disaggregation and ladder • Flush/pour flush to: • piped sewer system • septic tank • pit latrine • Ventilated improved pit (VIP) latrine • Pit latrine with slab • Composting toilet IMPROVED • Flush/Pour flush to elsewhere • Pit latrine without slab/open pit • Bucket • Hanging toilet/hanging latrine • Shared sanitation of any type • No facilities, bush or field 48% UN-IMPROVED

  20. Can we agree on the ladder?

  21. JMP's Reconciliation efforts • Campaign to fill data gaps • Through workshops, • Cooperation with NSOs • Major International data gathering/disseminating institutions (IPUMS etc.) • Through workshops (capacity building, stat+sector) • Past workshops • Anglophone Western Africa (Abuja, September 2007) • Gambia, Ghana, Liberia, Nigeria, Sierra Leone • Anglophone Eastern Africa (Nairobi, November 2007) • Ethiopia, Kenya, Rwanda, Zambia, Zimbabwe • South Asia (Kathmandu, August 2008) • Bangladesh, Bhutan, Nepal (multiple data sources) • Central America (Santo Domingo, November 2008) • Dominican Republic, Guatemala, Honduras, Nicaragua, Panama • Francophone Africa (Bamako, December 2008) • Benin, Burkina Faso, Madagascar, Mali, Senegal

  22. JMP's Reconciliation efforts (cont'd) • Through workshops (capacity building, stat+sector) • Planned activities/workshops • Follow-up to past workshops • South-east Asia (Jakarta, April 2009) • India (June 2009) • East Asia (to be decided) • Through national stakeholders meetings • Follow-up to workshops (involving all actors) • Bangladesh, Nepal

  23. JMP's Reconciliation efforts (cont'd) • Through communication with country authorities • Senegal, Madagascar • Presentation in Stockholm • India • Through coordination with international organizations • Use of core questions through IHSN • UNSD pilot project • Reconciliation efforts by regional commissions • Joint workshops…

  24. Thank you!www.wssinfo.org

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