Department of Health, Physical Education & Recreation, Faculty of Science and Technology Education, College of Education Studies, University of Cape Coast, Cape Coast, Ghana.
BMC Health Serv Res. 2022 Aug 30;22(1):1102. doi: 10.1186/s12913-022-08449-6.
The demand for quality maternal and child health (MCH) data is critical for tracking progress towards attainment of the Sustainable Development Goal 3. However, MCH cannot be adequately monitored where health data are inaccurate, incomplete, untimely, or inconsistent. Thus, this study assessed the level of MCH data quality.
A facility-based cross-sectional study design was adopted, including a review of MCH service records. It was a stand-alone study involving 13 healthcare facilities of different levels that provided MCH services in the Cape Coast Metropolis. Data quality was assessed using the dimensions of accuracy, timeliness, completeness, and consistency. Health facilities registers were counted, collated, and compared with data on aggregate monthly forms, and a web-based data collation and reporting system, District Health Information System (DHIS2). The aggregate monthly forms were also compared with data in the DHIS2. Eight MCH variables were selected to assess data accuracy and consistency and two monthly reports were used to assess completeness and timeliness. Percentages and verification factor were estimated in the SPSS version 22 package.
Data accuracy were recorded between the data sources: Registers and Forms, 102.1% (95% CI = 97.5%-106.7%); Registers and DHIS2, 102.4% (95% CI = 94.4%-110.4%); and Forms and DHIS2, 100.1% (95% CI = 96.4%-103.9%). Across the eight MCH variables, data were 93.2% (95% CI = 82.9%-103.5%) complete in Registers, 91.0% (95% CI = 79.5%-102.5%) in the Forms, and 94.9% (95% CI = 89.9%-99.9%) in DHIS2 database. On the average, 87.2% (95% CI = 80.5%-93.9%) of the facilities submitted their Monthly Midwife's Returns reports on time, and Monthly Vaccination Report was 94% (95% CI = 89.3%-97.3%). The overall average data consistency was 93% (95% CI = 84%-102%).
Given the WHO standard for data quality, the level of MCH data quality in the health care facilities at the Cape Coast Metropolis, available through the DHIS2 is complete, reported on timely manner, consistent, and reflect accurately what exist in facility's source document. Although there is evidence that data quality is good, there is still room for improvement in the quality of the data.
对妇幼健康（MCH）数据质量的需求对于跟踪实现可持续发展目标 3 的进展至关重要。然而，如果卫生数据不准确、不完整、不及时或不一致，MCH 就无法得到充分监测。因此，本研究评估了 MCH 数据质量的水平。
采用基于设施的横断面研究设计，包括对 MCH 服务记录的审查。这是一项独立的研究，涉及 13 家不同级别提供 MCH 服务的医疗保健机构，位于开普敦都会区。使用准确性、及时性、完整性和一致性维度评估数据质量。对卫生设施登记簿进行计数、整理，并与汇总月度表格和基于网络的数据整理和报告系统（District Health Information System，DHIS2）的数据进行比较。还将汇总月度表格与 DHIS2 中的数据进行比较。选择了 8 个 MCH 变量来评估数据的准确性和一致性，并使用两份月度报告来评估完整性和及时性。在 SPSS 版本 22 包中估计了百分比和验证因子。
在数据来源之间记录了数据准确性：登记簿和表格之间为 102.1%（95%置信区间=97.5%-106.7%）；登记簿和 DHIS2 之间为 102.4%（95%置信区间=94.4%-110.4%）；表格和 DHIS2 之间为 100.1%（95%置信区间=96.4%-103.9%）。在八个 MCH 变量中，登记簿中数据的完整性为 93.2%（95%置信区间=82.9%-103.5%），表格中为 91.0%（95%置信区间=79.5%-102.5%），DHIS2 数据库中为 94.9%（95%置信区间=89.9%-99.9%）。平均而言，87.2%（95%置信区间=80.5%-93.9%）的设施按时提交月度助产士报告，月度疫苗接种报告为 94%（95%置信区间=89.3%-97.3%）。整体数据一致性平均为 93%（95%置信区间=84%-102%）。
根据世卫组织的数据质量标准，开普敦都会区医疗保健机构通过 DHIS2 获得的 MCH 数据质量水平完整、及时报告、一致且准确反映了设施原始文件中的内容。尽管有证据表明数据质量良好，但数据质量仍有改进的空间。
