Assessing the effectiveness of a semi-annual monitoring model for data analysis and use in routine immunisation in Benin
Lamidhi Salami, Yolaine Glele Ahanhanzo Hessou, Jean Pierre de Lamalle, Alphonse Biaou, Moussiliou Noël Paraïso
Abstract
Routine immunisation programmes generate large volumes of data, yet their effective analysis and use for decision-making remain limited at the operational level. For over three decades, Benin has institutionalized a semi-annual monitoring system to assess effectiveness, quality, and develop problem resolution plans (PRPs). This study evaluated its effectiveness in fostering data analysis and use within vaccination services. A descriptive cross-sectional study using mixed methods was conducted from January to June 2025 in eleven health centers across four departments. Data collected via direct observation, semi-structured interviews (n = 38), and document review underwent descriptive and qualitative analysis. Input availability and service accessibility remained optimal (100%). Variability persisted in utilisation, continuity, and quality, with recurrent over-coverage rates. During self-monitoring, technical tasks were frequently performed, whereas in-depth analysis and PRP development were limited (9.09%). Although 90.9% of centers had PRPs, their quality was mostly acceptable, with low innovation and weak follow-up mechanisms. Community participation was irregular. Nevertheless, 81.82% of managers perceived PRPs as contributing to improved vaccination performance. Semi-annual monitoring remains functional and relevant; however, strengthening analytical capacity, digital tools, follow-up mechanisms, and community engagement is essential to institutionalise a sustainable culture of data use for decision-making.
DOI:
http://doi.org/10.11591/ijphs.v15i2.26936
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International Journal of Public Health Science (IJPHS) p-ISSN: 2252-8806, e-ISSN: 2620-4126
This journal is published by the Intelektual Pustaka Media Utama (IPMU) in collaboration with Institute of Advanced Engineering and Science (IAES) .
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