Enhancing data tracking for evidence based programming

Transcription

1 Enhancing data tracking for evidence based programming

2 Describing the needs and funding for ACTs and RDTs in Africa 350,000, ,000, ,000, ,000, ,000,000 Need funded Gaps 100,000,000 50,000,000 0 RDTs ACTs RDTs ACTs

3 Scaling up RDTs and ACTs Countries identified need for RDTs: 42% increase in required number of RDTs from % increase in reported number financed from Indicates positive trend, continued rapid scale up of RDTs Diagnosis is still falling short of universal coverage targets Countries identified need for ACTs: Leveling off in identified requirements for ACTs from Leveling off in identified financing for ACTs from This likely reflects an increase in coverage of health facilities, iccm and private sector coupled with decreasing consumption as a result of increased vector control and parasitological diagnosis

4 Implications: Need for Improved Routine Monitoring Improved data for routine monitoring will: Improve quantification of need Avoid stock outs or over-consumption Support all levels of management decision making Allow monitoring of implementation against targets Facility District / Programmatic National / International Example: SMS For Life Example: Stock / Case data used in HMIS / LMIS for management Example: ALMA Scorecard

5 ALMA Scorecard for Accountability and Action With the support of RBM partners 2011, ALMA 13 May, 2011 DRAFT Policy Financial control Commodities financed Implementation Impact Tracer indicators for maternal and child health Country Angola ND ND Benin ND Botswana ND ND ND ND Burkina Faso ND Burundi ND ND Cameroon ND Cape Verde 2 2 ND ND 4.0 ND ND ND ND 3 61 ND ND 99 Central African Republic ND Chad ND Comoros 2 3 ND ND ND 25 ND ND 83 Congo ND ND Cote d'ivoire ND ND Djibouti ND ND DRC ND Equatorial Guinea ND Eritrea Ethiopia Gabon ND ND Gambia Ghana ND Guinea ND Guinea Bissau Kenya ND Liberia ND 3 2 ND ND Madagascar Malawi ND Mali ND Mauritania ND ND Mozambique ND Namibia ND ND ND ND 83 Niger ND Nigeria ND Rwanda Sao Tome and Principe ND 2 ND ND nd 98 Senegal ND Sierra Leone ND Somalia ND 1 1 ND ND ND South Africa ND ND NA NA Sudan ND Swaziland ND Tanzania Togo ND Uganda ND Zambia ND ND Zimbabwe ND Data Source Removal of tariffs on antimalaria commodities (# of tariff-free commodities) Oral Artemisinin Based Monotherapy Ban status Community case management Pneumonia Pneumoni a Malaria Malaria World Bank rating on public sector mgmt and institutions 2009 (CPIA Cluster D) LLIN financing 2011 projection (% of need) Public sector RDT financing 2011 projection (% of need) Public sector ACT financing 2011 projection (% of need) Operational ITN coverage (% of at risk population) MTAP WHO-GMP and RBM Roadmap 2011 RBM Roadmap 2011 RBM Roadmap 2011 RBM Harmonisation marketing_of_oral_art orldbank.org/ida/res ( ( ( working group/ emisinin_monotherapi 2015mnch.org ources/ org/) org/) org/) Alliance for malaria es /3878 prevention /ICP R_2009_Alpha_Table 1.pdf Reduced malaria deaths by >50% by 2009 (vs 2000) PMTCT coverage 2009 (% pregnant HIV pts receiving ARVs) % deliveries Exclusive DPT3 vaccination assisted by skilled breastfeeding (% among mo. birth attendant children < 6 months) olds WHO WMR ine.org/ devaluation.org/ rightsite/sowc/statistic rightsite/sowc/statistic s.php s.php Produced by WHO on behalf of ALMA and RBM Partners Target achieved on track Progress but more effort required Not on track No data/data to be obtained

6 Requirements for enhanced data Wave 1 collection Wave 2 Wave 3 Metric cluster (examples) Actionable metrics based on currently available data RDTs RDT financing 2011 projection (% funding secured for universal coverage of the public sector) ACTs ACT financing 2011 projection (% funding secured for universal coverage of the public sector) Data sources RBM roadmaps Metrics improved using better data sources RDT Stockouts, at national and health facility level) ACT Stockouts, at national and health facility level) SMS Stock Data SMS Case Mgt Info National Volumes Data LMIS Addition of /switch to newer metrics that best track progress of antimalaria efforts % of suspected cases receiving a malaria diagnostic % of confirmed cases receiving treatment with appropriate and effective antimalarial drugs. HMIS 6

7 Conclusions Need for increased funding and emphasis on data collection to inform programming and enhance accountability Innovative methodologies to increase availability of data SMS etc Enhanced data improves accountability and promotes efficient use of resources We are seeing results! E.g. impact on malaria deaths in Zanzibar, Zambia etc