Reliable and recent data about the study community is a key contributor to the success of an intervention.
Data provides prior knowledge of the community and possible areas of collaboration with other exisiting projects, if any exist.
In our Vihiga project, results of the baseline survey informed us of the current situation (exisiting nutritional gaps). The results were also shared with the communities and it is from these findings that the communties based their deliberations and came up with possible ways of tackling the problems found.
For scaling up of the project in Turkana and Ethiopia, we will utilize agrinutrition data collected earlier in both areas.
Data collection in the mid and end will help determine the effectiveness or otherwise of the intervention
- Selection of a representative sample
- Accuracy in data collection, entry and analysis
- Simplified dissemination of research findings to enable uderstanding by the community hence relevant intervention.
- It is important to carry out a diagnostic study before any intervention plans in order to establish exisiting gaps
- Our use of mixed methods in data collection helped in data verification
- It is important to invest in the whole research process-data collection, cleaning and analysis for accurate representative results.