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BACKGROUND Every organization, especially healthcare-related ones, must have access to high-quality data. In reality, quality data enables any healthcare system to adhere to and analyze its specified objectives in order to meet the needs of its users. Therefore, it is essential that the processes used to generate these data are well-structured and effective. In so many sub-Saharan African nations, the data management processes are limited, resulting in a quality issue in the collected data in the healthcare sector (such as the low levels of completeness, low levels of accuracy, and low levels of responsiveness). This is becoming increasingly common, and it undermines the accuracy of the intervention decisions made by the management of any healthcare system. OBJECTIVE To evaluate the performance of Gabon's health information system, we conducted a study of the procedures used to collect high-quality data. METHODS This qualitative study followed a five-step methodology (identification of indicators in the data collection process, specification of data allowing the calculation of indicators, design of the data collection questionnaire, collection of data and health information system performance evaluation). We have opted to rely on the qualities (criteria) of three factors that contribute to data quality (data recording and storage, verification of data accuracy and data processing and analysis). RESULTS 58% of the structures do not appear to satisfy all the criteria that encourage the capture and storage of data, 53% do not appear to meet all the criteria that promote the verification of the data's accuracy, and 56% do not appear to meet all the criteria that promote good data processing and analysis. CONCLUSIONS Despite the fact that the characteristics employed to evaluate the quality of the data in our study are not exhaustive, they have the advantage of characterizing the performance level of the healthcare information system in Gabon. We notice from this study that Gabon's healthcare information system has constraints that prevent it from producing trustworthy data to support strategic decisions, and the results of this study may serve as a basis for considering the enhancement of the current health information system.

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.