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Data for PRS Monitoring: Institutional and Technical Challenges

Data for PRS Monitoring: Institutional and Technical Challenges. Institutional Preconditions. PRS strategy is in place and objectives have been clearly set Monitoring effort wasted – garbage in, garbage out Evaluation can reveal wasted effort Agreement on where monitoring should occur

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Data for PRS Monitoring: Institutional and Technical Challenges

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  1. Data for PRS Monitoring:Institutional and Technical Challenges

  2. Institutional Preconditions • PRS strategy is in place and objectives have been clearly set • Monitoring effort wasted – garbage in, garbage out • Evaluation can reveal wasted effort • Agreement on where monitoring should occur • are policies in place? • are inputs being provided? • are outputs being achieved? • are outcomes being realized? • Define specifics of what should be monitored and what should be evaluated

  3. Why “M” and “E”? Management perspective Oversight and Accountability • Decisions about future funding based on the results • Desired effects • Implementation • Assure public and stakeholders that money is spent appropriately • Ensure staff or contractor accountability Learning • Enhance learning among stakeholders Project/program perspective Design and Implementation • Feed back of results to improve implementation

  4. Some Definitions: “M” • A continuing function that uses • systematic collection of data • on specified indicators • Provides management with indications of • the extent of progress toward milestones and targets (results - MDGs) • achievement of outputs and outcomes • use of funds • Generally comprehensive for, and conducted by, business unit

  5. Some Definitions: “E” • A periodic function that uses • systematic assessment • of intended and unintended consequences • of a specific intervention • Provides management and the main stakeholders with indications of • quality, effectiveness, efficiency • attribution of effects to the intervention • key information for decision-making • Conducted by independent evaluators

  6. Defining the Scope • Purpose -- how to use M&E data? • Accountability? Planning? Learning? Better Implementation? Budgeting? • Prioritization – what data are important to collect? • Organization – who will collect data? • Periodicity – when? • Reporting – how the data be turned into usable information? • Costs – what are the cost implications for data collection and use? • Relevance, reliability, and validity of data– how will it be ensured? • Coordination of data– what are the mechanisms for interagency collaboration?

  7. Being “SMART” About Monitoring Indicators • Specific • Measurable • Achievable • Relevant • Timely Valid – measure what they set out to measure Reliable – different people/agencies must produce the same statistic Cost-Effective

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