Abstract
Community-driven data revolution is feasible in developing countries: experiences from an integrated health information and surveillance system in Kenya
Highlights
In many Low and Middle Income Countries (LMICs), health information and civil and vital statistics systems are underdeveloped
On the other hand, planning for health service delivery is informed by facility based surveys such as the Service Availability and Readiness Assessments, and Service Provision Assessments
The engagement of community health volunteers (CHVs) in this program has enhanced their retention, increased contact with community and lead to enhancement of efforts in household and community-level health promotion and education and subsequently improvements in community health indicators
Summary
In many Low and Middle Income Countries (LMICs), health information and civil and vital statistics systems are underdeveloped. In rural and remote geographies that bear a disproportionately higher burden of poor health outcomes, obtaining credible data can be even more difficult due to constraints associated with extreme poverty, illiteracy, insecurity, poor infrastructure and skewed distribution of human and material resources. This lack of health information undermines evidence informed policy-making, program design, implementation, monitoring and service delivery,[5] further exacerbating inequalities. To address the problem of poor civil registration systems in LMICs, governments and other stakeholders typically develop localized surveillance programs These systems capture data from sample populations, which are used centrally to inform policy and programs. Data from well-developed public health surveillance systems have been used to determine
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