Oladoyin Victoria, Adedini Sunday, Ijadunola Kayode, Ogunwemimo Hassan, Folorunso Olubunmi, Chukwu Elizabeth, Okoli Ugo, Adoghe Anthony, Oyeniyi Samuel, Adetiloye Oniyire, Fatusi Adesegun
Department of Community Medicine, Faculty of Clinical Sciences, University of Medical Sciences, Ondo City, Nigeria.
Department of Demography and Social Statistics, Faculty of Social Sciences, Federal University Oye Ekiti, Oye Ekiti, Nigeria.
PLoS One. 2025 Jan 30;20(1):e0318010. doi: 10.1371/journal.pone.0318010. eCollection 2025.
Nigeria's reproductive, maternal, newborn, child, and adolescent health indicators have remained unsatisfactory in the face of poor-quality healthcare services. Nigeria initiated the reproductive, maternal, newborn, child, and adolescent, elderly + nutrition (RMNCAEH+N) quality of care (QoC) agenda to address the challenge. The health management information system (HMIS) is integral to the agenda but there is sparse evidence on its performance so far. This study assessed the performance of routine HMIS for RMNCAEH+N QoC in Ondo and Ekiti States.
This paper described the review of health facility records and health facility survey components of a multi-component study which employed a mixed-method research design. Using the routine health information system performance diagnostic tool, service data captured for over one year were critically reviewed in randomly selected sample of 169 public health facilities (Ondo:117; Ekiti:52) and information was obtained from facility heads or designates. Performance of routine HMIS for RMNCAEH+N QoC in terms of data collection, data quality, and data use were analysed using univariate and bivariate statistics.
Results show that 67.3% of health facilities in Ekiti and 88.9% of facilities in Ondo had all required HMIS tools for selected RMNCAEH+N services (p<0.001). Data accuracy was 70.1% for Ondo and 40.4% for Ekiti (p <0.001); 82.9% of facilities in Ondo and 44.2% in Ekiti had complete data (p <0.001); almost all facilities (Ondo: 99.1%; Ekiti: 96.2%, p = 0.224) demonstrated data consistency; and, 82.9% of facilities in Ondo and 94.2% of facilities in Ekiti demonstrated timeliness in data submission (p = 0.048). Also, 70.1% (Ondo) and 78% (Ekiti) of facilities had quality improvement (QI) teams (p = 0.338); 53.5% (Ondo) and 77.1% (Ekiti) of QI teams regularly extracted data, calculated, and visualised prioritized indicators (p = 0.007); while 72.1% (Ondo) and 79.2% (Ekiti) regularly reviewed data and used it to make QI decisions (p = 0.367).
Routine RMNCAEH+N QoC data management system in Ondo and Ekiti States vary in terms of the status of reporting forms, data quality, and data use for decision-making, and there were specific performance gaps. The routine RMNCAEH+N QoC data management system in Ondo and Ekiti States needs improvement and findings from this study can serve as the basis for evidence-based advocacy for the required efforts and investment toward improved performance.
面对低质量的医疗服务，尼日利亚的生殖、孕产妇、新生儿、儿童及青少年健康指标仍不尽人意。尼日利亚启动了生殖、孕产妇、新生儿、儿童及青少年、老年人 + 营养（RMNCAEH+N）护理质量（QoC）议程以应对这一挑战。健康管理信息系统（HMIS）是该议程的重要组成部分，但目前关于其性能的证据稀少。本研究评估了翁多州和埃基蒂州RMNCAEH+N QoC常规HMIS的性能。
本文描述了对一项采用混合方法研究设计的多组分研究中的医疗机构记录审查和医疗机构调查部分。使用常规健康信息系统性能诊断工具，对在169家随机抽取的公共卫生机构（翁多：117家；埃基蒂：52家）中收集的超过一年的服务数据进行严格审查，并从机构负责人或指定人员处获取信息。使用单变量和双变量统计分析RMNCAEH+N QoC常规HMIS在数据收集、数据质量和数据使用方面的性能。
结果显示，埃基蒂州67.3%的医疗机构和翁多州88.9%的医疗机构拥有选定的RMNCAEH+N服务所需的所有HMIS工具（p<0.001）。翁多州的数据准确性为70.1%，埃基蒂州为40.4%（p<0.001）；翁多州82.9%的医疗机构和埃基蒂州44.2%的医疗机构拥有完整数据（p<0.001）；几乎所有机构（翁多：99.1%；埃基蒂：96.2%，p = 0.224）数据一致；翁多州82.9%的医疗机构和埃基蒂州94.2%的医疗机构数据提交及时（p = 0.048）。此外，翁多州70.1%和埃基蒂州78%的医疗机构有质量改进（QI）团队（p = 0.338）；53.5%（翁多）和77.1%（埃基蒂）的QI团队定期提取数据、计算并可视化优先指标（p = 0.007）；而72.1%（翁多）和79.2%（埃基蒂）的团队定期审查数据并用于做出QI决策（p = 0.367）。
翁多州和埃基蒂州的RMNCAEH+N QoC常规数据管理系统在报告表格状态、数据质量和决策数据使用方面存在差异，且存在特定的性能差距。翁多州和埃基蒂州的RMNCAEH+N QoC常规数据管理系统需要改进，本研究结果可作为基于证据进行宣传的依据，以推动为提高性能所需的努力和投资。
