Health information is essential for health decision-making at all levels of the health pyramid. This study investigated the effect of training HMTs in tier three hospitals in Kiambu County and utilization of routine health information. The study design was interventional, employing a quasi-experimental research design that guided the study in the 12 tier-three hospitals. There was an intervention cluster and a control cluster, each with six hospitals. The study adopted a census technique, and all 240 HMT members were included. The study used both qualitative and qualitative data collection techniques. Data was analysed using Fisher’s exact test for the bi-variate analysis, logistics regression to ascertain the statistical relationships, Mann-Whitney U-test to test the difference in means at baseline and end-line, Difference in Difference technique was used to establish the average treatment effect of the intervention. The study used thematic content analysis to analyse qualitative data. The County Health Management Teams and the Sub County Health Management Teams participated in the Key Informant interviews. The results revealed a significant association between the training and the odds of good utilization (A.O. R=9.01, p=0.0001). Those who received training are 9 times more likely to utilize RHI. The study concludes that, designing HIS should be based on the users’ desired needs and that the intervention was highly effective in promoting the use of the RHI among HMTs. The study recommends that Kiambu County Department of Health should provide strategies for sustaining effective utilization RHI and should provide guidelines to ensure all HMTs are trained to enable them manage hospitals better. The study recommends that; further research be conducted in the lower-level health facilities to generate recommendations appropriate for the different levels of health care systems, similar studies should be replicated in other countries to compare results and enable the drawing of triangulated policy recommendations and a follow-up study be done to determine whether the increase in utilization translates into improved health outcomes or efficiencies within the health system.
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