A quasi-experimental assessment of the effectiveness of the Community Health Strategy on health outcomes in Kenya

BACKGROUND Despite focused health policies and reform agenda, Kenya has challenges in improving households' situation in poverty and ill health; interventions to address the Millennium Development Goals in maternal and child health, such as focused antenatal care and immunization of children, are yet to achieve success. Research has shown that addressing the demand side is critical in improving health outcomes. This paper presents a model for health systems performance improvement using a strategy that bridges the interface between the community and the health system. METHODS The study employed quasi-experimental design, using pre- and post-intervention surveys in intervention and control sites. The intervention was the implementation of all components of the Kenyan Community Health Strategy, guided by policy. The two year intervention (2011 and 2012) saw the strategy introduced to selected district health management teams, service providers, and communities through a series of three-day training workshops that were held three times during the intervention period. RESULTS A number of health indicators, such as health facility delivery, antenatal care, water treatment, latrine use, and insecticide treated nets, improved in the intervention sites compared to non-interventions sites. The difference between intervention and control sites was statistically significant (p<0.0001) for antenatal care, health facility delivery, water treatment, latrine use, use of insecticide treated nets, presence of clinic card, and measles vaccination. Degree of improvement across the various indicators measured differed by socio-demographic contexts. The changes were greatest in the rural agrarian sites, compared to peri-urban and nomadic sites. CONCLUSION The study showed that most of the components of the strategy were implemented and sustained in different socio-demographic contexts, while participatory community planning based on household information drives improvement of health indicators.