Koumamba Aimé Patrice, Ngoungou Edgard Brice, Engohang-Ndong Jean, Ibinga Euloge, Ondzigue Mbenga Raymond, Diallo Gayo
Centre de recherche sur la santé des populations de Bordeaux, Institut national de la santé et de la recherche médicale 1219, Université de Bordeaux, Bordeaux, France.
Research Unit in Epidemiology of Chronic Diseases and Environmental Health, University of Health Sciences, Libreville, Gabon.
JMIR Form Res. 2022 Oct 7;6(10):e35176. doi: 10.2196/35176.
Achieving health goals requires informed decision-making supported by transparent, reliable, and relevant health information. This helps decision makers, such as health managers, to better understand the functioning of their health system and improve their ability to respond quickly to health demands. To achieve this, the health system needs to be supported by a digitized decision-making information system. In Sub-Saharan African countries, inadequate digital infrastructure, including limited internet connectivity and insufficient access to appropriate computer software, makes it difficult to collect, process, and analyze data for health statistics. The processing of data is done manually in this case; however, this situation affects the quality of the health statistics produced and compromises the quality of health intervention choices in these countries.
This study aimed to describe the conceptual approach of a data production and dissemination platform model proposed and implemented in Gabon. More precisely, it aimed to present the approach applied for the multidimensional analysis of the data production and dissemination process in the existing information system and present the results of an evaluation of the proposed model implemented in a real context.
The research was carried out in 3 phases. First, a platform was designed and developed based on the examination of the various data production and indicator generation procedures. Then, the platform was implemented in chosen health facilities in Gabon. Finally, a platform evaluation was carried out with actual end users.
A total of 14 users with 12 years of average experience in health data management were interviewed. The results show that the use of the proposed model significantly improved the completeness, timeliness, and accuracy of data compared with the traditional system (93% vs 12%, P<.001; 96% vs 18%, P<.001; and 100% vs 18%, P<.001; respectively).
The proposed model contributes significantly to the improvement of health data quality in Gabon.
实现健康目标需要在透明、可靠且相关的健康信息支持下做出明智的决策。这有助于诸如卫生管理人员等决策者更好地理解其卫生系统的运作情况，并提高他们快速响应卫生需求的能力。为实现这一目标，卫生系统需要一个数字化决策信息系统的支持。在撒哈拉以南非洲国家，数字基础设施不足，包括互联网连接有限以及获取适当计算机软件的机会不足，这使得难以收集、处理和分析用于卫生统计的数据。在这种情况下，数据处理是手动完成的；然而，这种情况影响了所产生的卫生统计数据的质量，并损害了这些国家卫生干预选择的质量。
本研究旨在描述在加蓬提出并实施的数据生产与传播平台模型的概念方法。更确切地说，它旨在介绍在现有信息系统中对数据生产与传播过程进行多维度分析所采用的方法，并展示在实际环境中实施的拟议模型的评估结果。
该研究分三个阶段进行。首先，基于对各种数据生产和指标生成程序的审查，设计并开发了一个平台。然后，在加蓬选定的卫生设施中实施该平台。最后，与实际终端用户一起对该平台进行评估。
共采访了14名在卫生数据管理方面平均有12年经验的用户。结果表明，与传统系统相比，使用所提出模型显著提高了数据的完整性、及时性和准确性（分别为93%对12%，P<.001；9６%对18%，P<.001；100%对18%，P<.001）。
所提出的模型对加蓬卫生数据质量的提高有显著贡献。
