Abstract:
Background: District Health Information System is an integrated, open-source and web-based platform for
health data collection, validation, analysis, and presentation of aggregated and individual data. It improves
health service delivery by strengthening the health management information system. It is a newly implemented
platform which is essential for the improvement of data quality and evidence-based decision making. This
evaluation tries to indicate major strengths, weakness and the way forward for the implementation of District
Health Information System.
Objective: To evaluate the implementation status of District Health Information System and associated factors
in Public Health Institutions of Kaffa Zone, Southwest Ethiopia, 2022.
Method: Institution based single case study design was conducted with both quantitative and qualitative data
collection method. The dimensions of evaluation were availability adherence and compliance. The study
populations were institutions, health workers and documents with purposive sampling technique. Quantitative
data were collected by self-administered questionnaire, document review and resource inventory and analyzed
by using SPSS version 26.0. The qualitative data from direct observation and key informant interview was
analyzed manually through thematic analysis with respective dimensions.
Result: A total of seventeen health institutions and one hundred twenty six performance monitoring team
members were participated in the evaluation. About 56.3% of health institutions had assigned specific units for
the program. Non functionality of computers in two health centers, failure of the online system in three health
centers and inadequate budget in fifteen health institutions were the major findings with respect to resource
availability. Although majority of the participants (86.5%) were trained for the system, gaps were identified
which is related with the training content and approach. An observation illustrates strength in using routine data
entry apps but significant challenges were observed in utilization of system based data for informed decision
making. Previous knowledge on HMIS, computer skill and User friendliness of the tool were significantly
associated with implementation of the system. An overall evaluation result of 55.4% scored and judged as fair
according to agreed judgment parameter.
Conclusion: This evaluation demonstrated gaps related with non-comprehensive training method, low report
timeliness and completeness which is below the national target and poor practice of exercising system data for
analysis and informed decision making in contributed for fair implementation status in the study area. Possible
recommendations suggested were maintaining nonfunctional computers and internet access, adequate budget
allocation, integrating practical training approach and regular supportive supervision in line with the program.