Healthcare systems in low- and middle-income countries face persistent pressure to achieve more
from constrained budgets. This study investigates the factors that explain variation in technical
efficiency across Kenya's health facilities by ownership type and service level. Using data from
the 2018 Kenya Health Service Delivery Indicators Survey, which covers 3,094 facilities across
all 47 counties, a two-stage analytical framework is applied. In the first stage, Data Envelopment
Analysis generates facility-level technical efficiency scores. In the second stage, truncated
regression with bootstrapping identifies the determinants of efficiency variation. Results indicate
that staff absenteeism is the most consistent predictor of inefficiency across dispensaries, health
centres, and hospitals, with effects most pronounced at hospital level. Private for-profit facilities
exhibit higher inefficiency than public counterparts across service levels, whereas private not-for
profit dispensaries demonstrate lower inefficiency. Urban location and extended operating hours
both depict lower inefficiency. Private for-profit health centres achieve the highest mean efficiency
score (0.82), while public dispensaries record the lowest (0.41). The findings yield actionable
implications for absenteeism management, ownership policy, and operational strategy in Kenya's
devolved health system.