Abstract
The post-training follow-up of actors is undeniable for an effective and efficient implementation of community surveillance activities (SEBAC). We evaluated the supervision data from the three SEBAC health districts (Kadiolo, Kati and Kangaba). The variables analyzed are as follows: The percentage of CHWs mastering the case definitions: in Kati (100%), Kangaba (82.87%) and Kadiolo (71.97%). Next, knowledge of coding: at Kati 99.18%, Kadiolo 95.62% and Kangaba 84.08%. Regarding the number of notified cases: in Kadiolo 124 cases (36%), Kati 123 (35.8%) cases and Kangaba 97 cases (28.2%). Also, for the filling of the notification and score registers: at Kati 99.18% and 100%, Kadiolo 86.18% and 86.18% and Kangaba 82.12% and 80%. As for investigations, the three districts have a parity rate of 100%; for home visits, Kati has a rate of 100%, followed by Kadiolo 95.23% and Kangaba 92.80%. Also, for the number of CHWs having sent at least one SMS: Kati 100%, Kadiolo 98.52% and Kangaba 91.50%. Finally, for data completeness, Kangaba district has 85.68%, Kadiolo 71.56% and Kati 48.91%. Post-training supervision is an effective means for building capacity in the implementation of activities, correcting shortcomings, and a source of motivation for actors. Keywords: Supervision, community-based surveillance, post-training follow-up, SEBAC, CHW.
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