PEPFAR established Data for Accountability, Transparency and Impact Monitoring (DATIM), to help save the
lives of those suffering from HIV/AIDS around the world by collecting AIDS data to analyze PEPFAR program
effectiveness and efficiency and to help improve accountability and decision making. DATIM is the PEPFAR-
specific version of Kenya Health Information System (KHIS) in Kenya. KHIS is customized from DHIS2, an
open-source software platform for reporting, analysis and dissemination of data for all health programs, developed
by the Health Information Systems Program, University of Oslo and is used to collect data at all levels required for;
site level reporting at the facility and community level as well as aggregations at the subnational and national levels
in Kenya.
Although the data that feeds DATIM and KHIS come from the same source document in the facilities, the same
data in both platforms is different. The assumption is that the errors occur in transmission and collation.
The need for concordance between the data in KHIS and DATIM to eventually have one central source of
information on HIV, led to the roll-out of Data Alignment Activities (DAA) at the national level, county level
especially HIV prevalent counties such as Homabay, Kisumu, Siaya, Migori and Busia among others and at the
institutional level. The main focus for the data alignment activity is to strengthen the government system for
reporting Health Information Systems (HIS) in such a way that it becomes the single source of information both
for government, partners and donors.
HealthIT supports the Ministry of Health’s National AIDS and STI Control Programme (NASCOP) to compare
data reported in DATIM and the data in Kenya Health Information System (KHIS) through the data alignment
activities.
According to PEPFAR, the data alignment activity is meant to provide a comprehensive view of national programs
to understand the full HIV landscape to help define targeted interventions in both the long-term where the activity
is meant to derive PEPFAR data directly from Ministry of Health (MOH) systems to reduce duplicative data entry
and parallel reporting structures, thereby strengthening MOH systems to effectively monitor and maintain
epidemic control and facilitate systems interoperability and in the short-term where countries will use the data to
identify reporting challenges, with the goal to improve reporting processes, data quality, and program efficiencies.
