Diongue Fatoumata Binetou, Faye Adama, Loucoubar Cheikh, Sougou Ndèye Marème, Sy Ibrahima, Tall Adama, Ndiaye Youssoupha, Sarr Samba Cor
Institute of Health and Development (ISED), Cheikh Anta Diop University, Dakar, Senegal.
Institut Pasteur de Dakar (IPD), Dakar, Senegal.
BMC Public Health. 2025 Jan 27;25(1):337. doi: 10.1186/s12889-024-21241-x.
In Senegal, the Routine Health Information System (RHIS) captures the majority of data from the Ministry of Health and Social Action (MHSA) public structures and very little health data from the private sector and other ministerial departments. Quality data strengthens the validity and reliability of research results. Common areas of data quality include accuracy, completeness, consistency, credibility, and timeliness. The work aims to assess the quality of routine maternal, child, and adolescent health data in Senegal.
A mixed quantitative and qualitative design was chosen in four health districts, including Thiès, Mbour, Kédougou, and Saraya. The study included functional health structures that produce maternal, child, and adolescent health data. For the quantitative part, a descriptive and analytical study was carried out. Lot Quality Assurance Sampling (LQAS) was used as the sampling method. Data were collected using Performance of Routine Information Systems Management (PRISM) data collection tools and the ODK application and analyzed (univariate and bivariate) using R and Stata with an alpha risk of 5%. The following data quality indicators (accuracy, completeness, and promptness) were estimated. An exploratory case study and purposive sampling supported the qualitative part by implementing individual interviews.
The study showed an accuracy ratio of 1 in the intervention districts, a difference in the control districts, and a disparity in the transmission of guidelines between districts (inter- and intra-region). The average level of completeness was 0.64 (+/- 0.44) for all regions combined, with no significant difference between districts. The promptness rate for Kédougou, Saraya, Thiès, and Mbour districts was 81%, 75.9%, 72.2%, and 86.7%, respectively. Between 40% and 60% of facilities in each district carried out self-assessments. Data collection tools were considered to be numerous. A large number of tools were easy to use. The recording space was appreciated. On the other hand, the length of the forms was little or not appreciated by the providers. Few of the providers in the 4 districts had been trained to record data in DHIS2.
Assessment of data quality in the districts studied shows shortcomings in terms of completeness and timeliness. Many factors influence the SMEA data quality situation, including knowledge or application of RHIS policies, standards, and protocols, perception of the importance of RHIS, ease of use of data collection tools, training of providers, and diversity of data production sources.
在塞内加尔，常规卫生信息系统（RHIS）收集了大部分来自卫生和社会行动部（MHSA）公共机构的数据，而来自私营部门和其他部委的数据极少。高质量的数据可增强研究结果的有效性和可靠性。数据质量的常见方面包括准确性、完整性、一致性、可信度和及时性。这项工作旨在评估塞内加尔常规孕产妇、儿童和青少年卫生数据的质量。
在包括捷斯、姆布尔、凯杜古和萨拉亚在内的四个卫生区采用了定量与定性相结合的设计。该研究包括产生孕产妇、儿童和青少年卫生数据的功能性卫生机构。对于定量部分，进行了描述性和分析性研究。采用批质量保证抽样（LQAS）作为抽样方法。使用常规信息系统管理绩效（PRISM）数据收集工具和ODK应用程序收集数据，并使用R和Stata进行分析（单变量和双变量分析），α风险为5%。估计了以下数据质量指标（准确性、完整性和及时性）。一项探索性案例研究和目的抽样通过开展个人访谈为定性部分提供了支持。
研究表明，干预区的准确率为1，对照区存在差异，且各地区（区域间和区域内）在指南传播方面存在差距。所有地区综合起来的平均完整性水平为0.64（±0.44），各地区之间无显著差异。凯杜古、萨拉亚、捷斯和姆布尔地区的及时性率分别为81%、75.9%、72.2%和86.7%。每个地区40%至60%的机构进行了自我评估。数据收集工具被认为数量众多。大量工具易于使用。记录空间受到好评。另一方面，表格长度很少或未得到提供者的认可。这4个地区中很少有提供者接受过在DHIS2中记录数据的培训。
在所研究地区的数据质量评估显示在完整性和及时性方面存在不足。许多因素影响着SMEA数据质量状况，包括对RHIS政策、标准和协议的了解或应用、对RHIS重要性的认识、数据收集工具的易用性、提供者的培训以及数据生产来源的多样性。
