This institution-based cross-sectional study was conducted among 544 health facilities at regional, zonal, district, and operational health facility levels of Ethiopia between July and September 2015. The objective of the survey was to assess the quality of the HMIS health facility data in Ethiopia at the Regional, Zonal, District, and operational health facility levels, using seven indicators. The data were collected using World Health Organization’s Data Quality Review tool.

The findings study showed the following. 

1. Private facilities are relatively less likely to report to the government reporting system than facilities managed by government authorities. Only 30 % of reported the ANC data matched with source documents in government facilities, which is much lesser than the figure for the other facilities not managed by the government.
2. Eight percent showed substantial over-reporting (greater than 10percent) and 11 percent had substantial underreporting (greater than 10 percent). Fourteen % of private-for-profit facilities made over-reporting (greater than 10percent) while 12 percent of public facilities made substantial under-reporting (greater than 10 percent) of data.
3. Compared with facilities managed by entities other than the government, larger proportions of public facilities made greater than 10 percent over (20 percent) or under (15 percent) reporting of Penta3 data. NGO/not-for-profit facilities made bigger proportions (14 percent) of more than 10 percent over-reporting while more than half of private-for-profit facilities (53 percent) under-report PMTCT services data into the next higher level of the reporting system. Four in ten facilities had FP data over-reporting followed by ANC and malaria data (23 percent). PMTCT data was the best-matched data among all indicators (88 percent) followed by TB data (76 percent).  At the district level, 16 percent of malaria data were over-reported (greater than 10 percent) followed by Penta 3 data (15 percent). About three fourth of the zones had ANC, delivery, PMTCT, malaria, and FP data matched with the source document. Only TB data had 100 percent matched with the source document.
4. Among all indicators, greater proportions of zones (13 percent) had PMTCT data overreported (greater than 10 percent)at the same time 7 percent of zones also made under-reporting (greater than 10 percent). At the regional level, 73 percent of ANC reports exactly match the source document. Eighty-two percent of Delivery, penta3, and malaria confirmed cases reports also matched with the source documents' findings. The highest concordance was seen in TB where all the data match each other (100 percent). It is, therefore, important to improve the quality and usefulness of relatively low-cost, pre-existing health data monitoring systems within Ethiopia.

• Ethiopia
• heath data quality
• data verification
• system assessment

no

Ethiopia Health Data quality review 2016 dataset is a cross-sectional study conducted among 544 health facilities selected by a random sampling method. The health facilities included governmental and private facilities. This study was assessed by World Health Organization’s Data Quality Review tool. The data verification and system assessment are done to know the level of different indicators such as maternal health (antenatal care first visit, and institutional deliveries), immunization (pentavalent/DTP third doses in children under one year),  HIV indicators (PMTCT coverage), tuberculosis (TB cases), malaria (confirmed malaria cases), and family planning (contraceptive acceptors) were assessed. Generally, this survey describes the quality of the HMIS health facility data in Ethiopia at the Regional, Zonal, District, and operational health facility levels, using seven indicators.

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