Community-driven data revolution is feasible in developing countries: experiences from an integrated health information and surveillance system in Kenya

Over the period of the Millennium Development Goals (2000-15), it became clear that there was a pressing need and an increasing capacity for a ‘data revolution’ to inform the global health development agenda. In most developing countries, data on key indicators were collected through laborious and retrospective surveys that were as much as five years out-of-date, or through passive reporting systems that relied on routinely generated health facility data. Gaps in the primary data were filled by modelled estimates, which often relied on inadequate assumptions.