From real-world individuals’ data to national health indicators: a pilot study in Gabon (Preprint)

BACKGROUND Effective health information systems support decision-making. In some sub-Saharan African countries, including Gabon, there is a problem with data quality. Indeed, the tools supporting the data collection process in health facilities are limited and tend to favour manual data processing. OBJECTIVE This study presents the conceptual approach of an information system model for health decision support in resource-limited countries and the results of the evaluation's model. METHODS The study was conducted in three phases. First, the design and development of a platform based on the analysis of the different processes of data production and indicator generation. Secondly, the implementation of the platform in the health structures in Gabon. Finally, an evaluation of the platform with users. RESULTS A total of 14 users were interviewed, with an average experience of 12 years in health data management. The results show that the use of the proposed model significantly improves the completeness, timeliness and accuracy of data compared to the traditional system. Respectively, 93% versus 12% (p CONCLUSIONS The proposed model contributes significantly to the improvement of health data quality in Gabon.