Huda Fauzia Akhter, Mahmud Meftah Uddin, Islam Tanjeena Tahrin, Akter Salma, Kabir Sadia Fatema, Hossain Md Shahadat, Ashrafi Shah Ali Akbar, Uddin M Naser, Habib Farhana, Gibbons Sharon Kim, Owolabi Onikepe O
Maternal and Child Health Division, icddr,b, Dhaka, Bangladesh.
Health System and Population Studies Division, icddr,b, Dhaka, Bangladesh.
J Glob Health. 2024 Dec 6;14:04259. doi: 10.7189/jogh.14.04259.
An effective health management information system plays a pivotal role in evidence-based decision-making and strengthening health service delivery in a country. The Directorate General of Health Services and the Directorate General of Family Planning of Bangladesh have adopted digital health management information system platforms named district health information system and management information system, respectively. Despite its significance, health management information system data has numerous issues, such as missing values, inaccuracies, lack of internal consistency, and the presence of outliers. This study aims to assess the data quality of reproductive health indicators in the health management information system of the Directorate General of Health Services and the Directorate General of Family Planning.
The study examined two aspects of data quality: a) completeness of data, subdivided into completeness of facility reporting (report submission rate) and completeness of indicator data (presence of missing values); b) internal consistency of reported data, subdivided into presence of outliers, inter-indicator consistency, and consistency between reported data and original records (accuracy rate). The study utilised retrospective monthly data gathered from July 2021 to June 2022, covering 21 reproductive health indicators. Multi-stage cluster sampling was employed to select 112 health facilities for data collection, including 48 facilities from Directorate General of Health Services and 64 from Directorate General of Family Planning, representing various administrative levels across the country.
The report submission rate for Directorate General of Health Services facilities was 98%, while for the Directorate General of Family Planning facilities, it was 86%. However, 35% of data points were missing in the district health information system server of Directorate General of Health Services, whereas no missing values were observed in the management information system server of Directorate General of Family Planning. Less than 3% of outliers were detected in the server data of both directorates. Inter-indicator consistency was maintained at a high rate of 98% in health facilities under both directorates. The accuracy of reported data varied across indicators and facility types: Directorate General of Health Services facilities showed accuracy rates ranging between 75 and 92%, with an aggregated rate of 86%. Different tiers of the Directorate General of Family Planning facilities had accuracy rates ranging from 92 to 96%.
This research emphasises the significance of rectifying missing values, ensuring consistency, and improving reporting systems, with a particular focus on lower-tier health facilities, to enhance the validity and reliability of reproductive health data in Bangladesh.
一个有效的健康管理信息系统在一个国家基于证据的决策和加强卫生服务提供方面发挥着关键作用。孟加拉国卫生服务总局和计划生育总局分别采用了名为地区卫生信息系统和管理信息系统的数字健康管理信息系统平台。尽管其具有重要意义，但健康管理信息系统数据存在诸多问题，如缺失值、不准确、缺乏内部一致性以及存在异常值。本研究旨在评估卫生服务总局和计划生育总局健康管理信息系统中生殖健康指标的数据质量。
该研究考察了数据质量的两个方面：a）数据的完整性，细分为机构报告的完整性（报告提交率）和指标数据的完整性（缺失值的存在情况）；b）报告数据的内部一致性，细分为异常值的存在情况、指标间的一致性以及报告数据与原始记录之间的一致性（准确率）。该研究利用了从2021年7月至2022年6月收集的回顾性月度数据，涵盖21个生殖健康指标。采用多阶段整群抽样方法选择112个卫生机构进行数据收集，其中包括卫生服务总局的48个机构和计划生育总局的64个机构，代表了全国不同行政级别。
卫生服务总局机构的报告提交率为98%，而计划生育总局机构的报告提交率为86%。然而，卫生服务总局地区卫生信息系统服务器中有35%的数据点缺失，而计划生育总局管理信息系统服务器中未观察到缺失值。两个总局的服务器数据中检测到的异常值均不到3%。两个总局下属卫生机构的指标间一致性维持在较高的98%。报告数据的准确率因指标和机构类型而异：卫生服务总局机构的准确率在75%至92%之间，汇总率为86%。计划生育总局不同层级机构的准确率在92%至96%之间。
本研究强调纠正缺失值（确保一致性）和改进报告系统的重要性，尤其关注较低层级的卫生机构，以提高孟加拉国生殖健康数据的有效性和可靠性。
