Urban primary care networks (PCNs) in Kenya are pivotal for delivering comprehensive healthcare services to underserved urban populations. However, their effectiveness and efficiency have not been systematically evaluated. A mixed-methods design was employed, integrating quantitative data analysis from randomized controlled trials and qualitative insights through interviews. Statistical models were applied to analyse treatment efficacy and patient satisfaction scores. The quasi-experimental design revealed a significant improvement in patient adherence rates (65%) compared to baseline when PCNs implemented motivational interviewing techniques for chronic disease management. This study underscores the potential of tailored interventions within urban primary care networks, particularly those incorporating personalized communication strategies. Future research should focus on replicating findings across diverse geographical and socio-economic contexts in Kenya, while also exploring scalability and cost-effectiveness of these methods. primary care networks, clinical outcomes measurement, quasi-experimental design, motivational interviewing Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Kioni Mutua (Thu,) studied this question.