The state of available data on TB prevalence, programs, and their results differs from place to place. To ensure that data are reliable, all health information systems and studies need means of assessing and ensuring data quality.
In 2013, JSI began assessing the quality of the data collected on six key indicators related to HIV by performing data quality assessments at health facilities in Mozambique. These assessments evaluate data collected at the facility level and compare recorded data to data captured at the national level in order to determine discrepancies and improve overall data quality.
JSI has been working on an HMIS Scale-up Project with the Ethiopia’s Ministry of Health to develop and implement an electronic health management information system in the Ethiopia’s Southern Nations, Nationalities, and Peoples’ Region.
A new electronic logistics management information system (eLMIS) developed and implemented by the Zambian government with assistance from the USAID | DELIVER PROJECT is improving the quality and use of data for managing the supply of essential health commodities. JSI’s Mali Kambandu explains how the system has greatly improved efficiency and productivity at Zambia’s central medical store.
Promoting the use of data for decision making is all the rage across development sectors, particularly in health. While advocating for increased use of strategic information has great value in itself, it’s important to assess the quality of the routine data available: what value do you get from using information that’s of poor quality?