The UNICEF Mali office launched its mobile based Health Management Information System called SNISI in November 2014. The pilot has successfully run in the Mopti Region of Mali collecting weekly and monthly data on malaria, the integrated management of acute malnutrition (IMAM), reproductive health, EPI, bednet distribution, Trachomatous Trichiasis and other nationally notifiable diseases,
The dashboard is not publicly accessible but is open to partners on request. It was built locally in Mali by the programming team – Yeleman. The data entry is done on android phones with a purpose built java application and the SNISI dashboard is largely built with python and django. The dashboard is very data rich but works well on small screens of cell phones and large computers monitors.
For the IMAM program, the data comprehensively covers the activities of the three different types of sites URENAS – treating severe acute malnutrition (SAM) without complications, URENI – treating SAM with complications and URENAM – treating moderate acute malnutrition.
The tool collects data on cases treated from all age groups < 6m, 6-59m, 59m+ for SAM and the above age groups of children and pregnant and lactating women for moderate acute malnutrition. For IMAM, stocks data are collected on 14 different items with specific cells to enter, the initial stocks, quantity received, used and lost during program implementation. The stocks data are collected in the smallest unit, for example RUTF stocks are accounted for in sachets and not cartons. Tests for the consistency of the data are done on the phone during data collection to ensure data quality.
The dashboard provides analysis on how many reports were submitted in a timely, complete and accurate manner. A system of validation and auto-validation of reports functions to assure that data are of high quality. The dashboard produces automated monthly reports and weekly updates that are sent by via email.
The next steps with the SNISI tool are to expand its utilization across the country and further develop the mHealth tool for a pilot to improve maternal health in Sélingué health district Mali.