TECHNICAL Review: M&E Strategy and Indicators DR HARRIET KIVUMBI, PUBLIC HEALTH SPECIALIST, ACCESS-SMC.

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Presentation transcript:

TECHNICAL Review: M&E Strategy and Indicators DR HARRIET KIVUMBI, PUBLIC HEALTH SPECIALIST, ACCESS-SMC

Presentation outline: M&E strategy components 1.Indicators: core donor indicators for reporting and other extra indicators 2.Roles and responsibilities (data flow and reporting responsibilities; donor reporting calendar and requirements 3.Data quality processes and approaches; 4.Data utilization and dissemination 5.Recommended tools - card, tally sheet, register, EOC report 6.Evaluative studies & protocols 7.Communication and publishing plan

M&E strategy purpose & principles I. Maintain systematic processes for SMC data collection and management II. Create opportunities to generate and use quality data for reporting and decision making Built on existing systems Capacity strengthening indicator harmonization Strengthen routine LMIS Easy to use tools for HW at all levels of health system Generate scientific evidence Measure core and additional indicators

Core IndicatorsSourceWho?Qtr Percentage coverage of eligible children who received full course of SMC in project sites according to national policies Household surveys LSHTM4 Production volumes by manufacturers of pre-qualified SP+AQ products Market researchMMV1,2,3, 4 Updated listing of manufacturers of quality assured SP+AQ Market researchMMV1&4 Updated listing of sources of prequalified APIMarket researchMMV1&4 Number of supported countries with drug efficacy studies completed Project ReportsLSHTM4 List of new and alternative products developedMarket researchMMV1&4 Volume of quality assured SP+AQ delivered to countries Orders & procurement rpt MC1&4

Core IndicatorsSourceWho?Qtr Value of SMC treatments delivered by countryOrders and procurement MC1&4 Median lead time in days from date of order to date of delivery in country Orders and procurement MC4 Median duration in days of stock out at national stores at central level during SMC implementation months Project Reports MSH1&4 Number of treatments administered to eligible children per cycle LMISMC/CR S 4 Proportion of SAE (Serious Adverse Events) potentially related to SMC administration that were effectively managed by country by site Project Reports LSHTM4 Median price of quality assured SMC products (ex works) by source Procurement reports MC4

Core IndicatorsSourceWho?Qtr Cost per child reached with SMC per annum in supported countries Costing survey MSH4 Cost per dose delivered by country by type of delivery (fixed point, house to house) Costing survey MSH4 Financial gaps in each supported country identified and reported Gap analysis MSH4 Percentage funding for procurement for SMC products and delivery in supported countries by each funder/donor other than UNITAID Gap analysis MSH4 Transition funding for SMC per country by amount and timing of transition reported Project Reports MC/CRS country IP 4

Reporting requirements DateCut off Quarterly Partner report due Bi-annual donor report on core indicators Q131-Mar30-Apr 28-Feb Q230-Jun31-Jul Q330-Sep30-Oct 31-Aug Q431-Dec30-Jan OtherEnd of cycle reportsReal time data or same week Monthly updatesEnd of month

Data utilization and information dissemination plan: Results dissemination Guided by the ACCESS-SMC Communications and Publications Framework Communication and advocacy, to enable mobilization of additional resources for SMC from donor and host government to ensure SMC coverage for all 25 million eligible children Share learning and experience to increase awareness on safety, feasibility, long-term efficacy and cost-effectiveness of at-scale SMC delivery

Data utilization and information dissemination plan- Modelling SMC-Calc a user-friendly, customizable tool modelling the effects of increased SMC coverage in combination with other malaria control interventions on malaria morbidity: MC Costing model for SMC delivery, based on different implementation strategies, which will be used in costing annual operational plan: MSH SMC product demand forecasting and quantification, as defined by MMV

Data Quality Assurance QA for project monitoring data by CHW :Country teams to develop a data quality assurance (DQA) plan including CHW data validation exercises and feedback on discrepancies QA for Evaluation data : Detailed Standard operating procedures for QA will be developed and used across the project countries. Data screen preparation: centrally coordinated, with a data manager to coordinate studies in consultation with the statistician and M&E responsible persons. Data entry validation to assess completeness and consistency of data entered each day (data manager or data clerk doing double entries to cross check validity

Data Ownership and Sharing Data sharing among ACCESS-SMC partners and wider access to both routine and survey/research data will be essential in promoting successful collaboration efforts and increasing ability to demonstrate project results (and overall value for money) to donors and other stakeholders. MC working with Technical Committee on the policy (1) facilitate data sharing within the partnership, (2) facilitate data sharing between ACCESS-SMC and other partners, organizations and research consortia, and (3) make the ACCESS-SMC data widely available to the scientific community as required by the funders of the project.

Progress with M&E strategy implementation PROGRESS Strategy developed and shared 1 year of reporting using varied tools and mechanisms based on country needs QUESTIONS AND COMMENTS  DQA, how far have countries invested in DQA?  Indicators and reporting schedule, your feedback and comments

Thank you Merci Shukran