The facility-based cross-sectional study was conducted in 629 health facilities, 365 Woreda/districts, 63 zones, and nine regional and two city administrative council health bureaus of Ethiopia between July 1, to September 30, 2017. The objective of the study was to generate reliable and regular information on data qualities in the health facilities in Ethiopia. A locally customized and pretested WHO Data Quality Assessment (DQA) questionnaire was used, all data entry and editing programs were written using the CSPro software application, and the data analysis was done using STATA. The finding from this survey revealed the following.

1. The system assessment component showed that; thirty-eight, 34, and 41 percent of facilities had trained staff on data collection and compilation, written guidelines on reporting, and routine processes for checking the quality of reports, respectively.  Ninety-one percent of facilities report to the government system and 65 percent documented supervisory visits in the last six months. Fifty percent of facilities had clear instructions on how to complete reporting forms. The proportion of all service assessment indicators increased as the health unit level increased.
2. The data verification also showed that health facilities had discrepancies in their reported and source document. The verification factor for most of the indicators at the health facility level shows that the figures in the source documents were lower than the figures reported to the next administrative level. The higher the administrative level the better the Data verification factor.
3. Data showed that at the facility and Woreda level there was no marked difference in the actual percentage of system assessment indicators from 2016. At the Zonal level Data management and reporting and supportive supervision and information use, indicator components of system assessment had shown an improvement in the actual percentage of findings. Regional system assessment findings had also shown an increased actual percentage for all indicators since 2016.

The result of the current survey and the comparison with the previous shows that there was still low data quality at the health facility level, emphasizing the need to work hard on the lower level of the health system/health facilities to improve the quality of health-related data in the country.

• Data quality
• data management
• data reporting
• Data verification

No

The 2018 Ethiopia DQR system assessment & data verification dataset is a cross-sectional study conducted in 629 health facilities, 365 Woreda/districts, 63 zones, and nine regional and two city administrative council health bureaus conducted from July 1, 2017, to September 30, 2017. The dataset captures information on data quality by using the locally customized World Health Organization’s Data Quality Review tool. It comprises system assessment and data verification. Data verification includes the selected seven indicators (Antenatal Care first visit, Institutional deliveries, Pentavalent/DTP third dose in children under one year, PMTCT coverage, TB cases, Confirmed malaria cases, and Family planning), whereas the system assessment includes the proportion of trained staff responsible for data collection and compilation, written guidelines on reporting, and routine process for checking the quality of reports were assessed.  It also assessed the status of the data management system at all levels of the health system, determine the discrepancy between the source document and the next reporting level for selected indicators, and monitor the performance and the capacity to produce good quality data over time.

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