Training on data collection 1
- 1. Data collection Tools Training BY SAMINU LEWI (DATABASE OFFICER )
- 3. Basics of Monitoring & Evaluation
- 4. Monitoring Evaluation Defining Monitoring and Evaluation
- 5. What is Monitoring? • The continuous and systematic collection, analysis and reporting of data about project progress. • It is used to track changes in program performance over time. • Monitoring can be used to determine if activities need adjustments during interventions to improve desired outcomes.
- 6. What is Evaluation? • Evaluation measures how well the project activities have achieved the project’s objectives and how much changes in outcomes can be directly linked to a project’s interventions. • Measures the IMPACT (the difference in the outcome of interest between having or not having the program or intervention. • Correctional look at progress against target.
- 7. • Monitoring & Evaluation (M&E) together is the process by which data are collected and analyzed to provide strategic information(quality data) to policy makers and others for use in program planning and project management. • Logical framework (as sometimes called logframe) is a project matrix that makes a brief presentation of impact, effect, output and activities along with verifiable indicators, means of verification and assumptions. It provides an at-a-glance view of the project plan for managers and a basis for M&E needs and purposes. Essential components of M&E systems are as follows; Selection of indicators Collection of data based on indicators Analysis of data Presenting the information, and Using the information to improve the work Monitoring & Evaluation (M&E)
- 8. The Soup Analogy??? need to be ready to taste the soup while you cook …… What kind of Monitoring would that be ??????
- 9. Importance of M&E • M&E helps managers to make informed decisions regarding on-going programs o Facilitates effective and efficient use of resources o Determines whether a program is right on track and where changes need to be considered o Provides insight to the quality of services • M&E help stakeholders conclude whether the program is successful or not • M&E preserves institutional memory • Serves as a means of accountability to donors and other stakeholders.
- 10. Features of M&E • Defines project to be monitored and evaluated • Defines and harmonizes indicators to be used in assessing Inputs, Processes, Outputs, Outcomes and Impact of the project activities • Creates and update data collection tools (DCTs) to collect the required information • Collects data on the defined indicators • Defines information flow i.e. reporting processes/data flow o From service providers, supervisors, research team and program staff o To all persons who require it at the LGA, state & national levels) • Collates, analyses and disseminates information from project activities for reporting.
- 13. Definition of terms • Data are raw facts and statistics collected for reference or analysis. • Quantitative data deals with numbers and things you can measure objectively: dimensions such as height, width, and length. Temperature and humidity. Prices. Area and volume. • Qualitative data deals with characteristics and descriptors that can't be easily measured, but can be observed subjectively—such as smells, tastes, textures, attractiveness, and color. • Broadly speaking, when you measure something and give it a number value, you create quantitative data. When you classify or judge something, you create qualitative data. So far, so good. But this is just the highest level of data: there are also different types of quantitative and qualitative data. • An indicator is a means of measuring actual results against planned or expected results in terms of quantity, quality and timeliness. In other words an indicator is an evidence that helps us to measure progress towards achieving results.
- 14. Definition of terms cont’d • Data Management is a process that includes the collection, Collation, analysis, dissemination and use of project/program data for planning and implementing services. • Data-flow is the movement of data through a system • A Data flow diagram is a graphically representation the flow of data in an organization’s information system. • A service flow diagram
- 15. Registrar 1 Waiting area Consultation MHPSS SRH Pharmacy Registrar 2 EPI Screener MdM Clinic Service Flow Chart
- 16. PHC daily reporting form MUAC screening daily reporting form Immunization daily reporting form ANC, PNC, FP daily reporting form M&E Supervisor Data Management officers Mobilizers’ weekly reporting forms Field Coordinator collect Medical Supervisor Reports summary of daily clinic activities Give reports Stores and backup data weekly Upload data weekly collect collect collect collect Data Flow Chart
- 17. Let’s try to design the service flow chart of your PHCs………