Uganda Public Health Fellowship Program, National Institute of Public Health, Kampala, Uganda.
Ministry of Health, Kampala, Uganda.
BMC Public Health. 2023 Apr 4;23(1):647. doi: 10.1186/s12889-023-15534-w.
Disease surveillance provides vital data for disease prevention and control programs. Incomplete and untimely data are common challenges in planning, monitoring, and evaluation of health sector performance, and health service delivery. Weekly surveillance data are sent from health facilities using mobile tracking (mTRAC) program, and synchronized into the District Health Information Software version 2 (DHIS2). The data are then merged into district, regional, and national level datasets. We described the completeness and timeliness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020-2021.
We abstracted data on completeness and timeliness of weekly reporting of epidemic-prone diseases from 146 districts of Uganda from the DHIS2.Timeliness is the proportion of all expected weekly reports that were submitted to DHIS2 by 12:00pm Monday of the following week. Completeness is the proportion of all expected weekly reports that were completely filled and submitted to DHIS2 by 12:00pm Wednesday of the following week. We determined the proportions and trends of completeness and timeliness of reporting at national level by year, health region, district, health facility level, and facility ownership.
National average reporting timeliness and completeness was 44% and 70% in 2020, and 49% and 75% in 2021. Eight of the 15 health regions achieved the target for completeness of ≥ 80%; Lango attained the highest (93%) in 2020, and Karamoja attained 96% in 2021. None of the regions achieved the timeliness target of ≥ 80% in either 2020 or 2021. Kampala District had the lowest completeness (38% and 32% in 2020 and 2021, respectively) and the lowest timeliness (19% in both 2020 and 2021). Referral hospitals and private owned health facilities did not attain any of the targets, and had the poorest reporting rates throughout 2020 and 2021.
Weekly surveillance reporting on epidemic prone diseases improved modestly over time, but timeliness of reporting was poor. Further investigations to identify barriers to reporting timeliness for surveillance data are needed to address the variations in reporting.
疾病监测为疾病预防和控制规划提供了重要数据。数据不完整和不及时是规划、监测和评估卫生部门绩效以及提供卫生服务的常见挑战。使用移动追踪(mTRAC)程序从卫生机构发送每周监测数据，并同步到地区卫生信息软件 2 版(DHIS2)。然后将数据合并到地区、区域和国家一级的数据集。我们描述了 2020-2021 年乌干达流行疾病每周监测数据报告的完整性和及时性。
我们从乌干达的 146 个地区的 DHIS2 中提取了关于流行疾病每周报告的完整性和及时性的数据。及时性是指所有预期的每周报告中，在下周周一中午 12 点之前提交给 DHIS2 的比例。完整性是指所有预期的每周报告中，在下周周三中午 12 点之前完全填写并提交给 DHIS2 的比例。我们按年份、卫生区、地区、卫生设施级别和设施所有权确定了报告的完整性和及时性的比例和趋势。
2020 年全国平均报告及时性和完整性分别为 44%和 70%，2021 年分别为 49%和 75%。15 个卫生区中有 8 个达到了完整性目标（≥80%）；2020 年，朗戈达到了最高水平（93%），2021 年，卡拉莫贾达到了 96%。在 2020 年或 2021 年，没有任何一个地区达到及时性目标（≥80%）。坎帕拉区的完整性最低（2020 年和 2021 年分别为 38%和 32%），及时性也最低（2020 年和 2021 年均为 19%）。转诊医院和私营医疗机构均未达到任何目标，且在 2020 年和 2021 年报告率都最差。
流行疾病的每周监测报告随着时间的推移略有改善，但报告的及时性仍然很差。需要进一步调查，以确定影响监测数据报告及时性的障碍，从而解决报告中的差异。
