Accurate geospatial data, especially settlement data, can help determine challenges community health workers face in service delivery (e.g. barriers to movement, distance of health facilities from communities, households/settlements that are too remote, etc.); DDPI’s hopes to use this information to improve its capacity to deploy health workers.
GRID3 is participating in a geospatial working group that is led by DPPI and tasked with developing digital maps of all settlements; these maps include important infrastructure, such as health facilities. The group also includes representatives of Statistics Sierra Leone, the Directorate of Primary Health Care, the Directorate of Health Services and Emergencies, Macro-Eyes, University of Sierra Leone, UNICEF, and the University of Geneva.
GRID3 gathered existing settlement point data (including census cartography data, health facility data, school census data, and water point data) from the Ministry of Health and Sanitation, Statistics Sierra Leone, the Ministry of Basic and Senior Secondary Education, the Ministry of Water Resources, OpenStreetMap, UNICEF, Hellen Keller, Concern International, WHO, and the Institute for Governance Reform. Records of community health workers provided by the Ministry (and de-identified to exclude names and other personal data) were then matched by GRID3 to the geographic coordinates of those settlement point data. This step made it easier to visualise the current distribution of community health workers and where additional data need to be collected in order to completely georeference the community health worker dataset.
Results from the data matching indicate around 60% of settlements were matched with community health workers, meaning their geocoordinates can be found through existing datasets. For the remaining 40%, community health workers will use a mobile application to collect the coordinates for these settlements. GRID3, in collaboration with Premise and members of DPPI’s geospatial working group, will support the consolidation, cleaning, and standardisation of newly collected data, resulting in a comprehensive dataset of placenames highlighting where community health workers in Sierra Leone operate.