Data Quality in Namibia’s Key Population Case Management Program: An Assessment

The program is implemented by the Ministry of Health and Social Services, in collaboration with the Society for Family Health and other stakeholders. The program's data quality assessment was conducted in 2019 to evaluate the accuracy, completeness, and reliability of the data collected. The assessment used a combination of routine data quality assessment results, completeness, reliability, intrasystem accuracy matching summary, intersystem accuracy summary, and 90-90-90 estimates. The results showed that the program data had varying levels of quality, with some indicators showing high completeness and reliability, while others had significant gaps and inaccuracies. The assessment found that the completeness of program data varied by region, with some regions showing high completeness for certain indicators, while others had significant gaps. For example, Table 3 shows a summary table of completeness for selected indicators, by region, which indicates that the completeness of data for HIV testing and counseling services varied significantly across regions. The reliability of program data was also assessed, and the results showed that some indicators had high reliability, while others had significant errors. For example, Table 1 shows a sample of records sampled and cross-checked for reliability, which indicates that the reliability of data for key population case management clients who tested HIV positive and knew their status varied significantly across regions. The assessment also evaluated the accuracy of program data by comparing it with data from other sources, such as the Electronic Dispensing Tool and the Electronic Patient Management System. The results showed that the accuracy of program data varied significantly across indicators and regions. The implications of these findings for the 90-90-90 targets are significant, as the program's data quality has a direct impact on the accuracy of these targets. The assessment recommends that the program develop a protocol for measuring and reporting 90-90-90 targets, and that data quality and triangulation be prioritized to ensure accurate and reliable data. The assessment also highlights the importance of data quality and triangulation in improving the program's effectiveness and efficiency. The results of the assessment provide valuable insights for program managers and policymakers, and highlight the need for continued investment in data quality and triangulation to ensure that the program achieves its goals and targets. The program's data quality assessment tool, which is outlined in Appendix B, provides a framework for assessing data quality and identifying areas for improvement. The tool includes indicators for completeness, reliability, accuracy, and triangulation, and provides a comprehensive framework for evaluating data quality. Overall, the data quality assessment of Namibia's Key Population Case Management Program highlights the importance of data quality and triangulation in improving program effectiveness and efficiency. The assessment provides valuable insights for program managers and policymakers, and highlights the need for continued investment in data quality and triangulation to ensure that the program achieves its goals and targets.