Applying the Three Delays Model to Understand Care Pathway Barriers among Low-Birth-Weight Neonates in a Kenyan Referral Hospital

Abstract Background. Outcomes for low-birth-weight (LBW) neonates depend not only on biology but on the timeliness of the care pathway. The Three Delays Model--deciding to seek care (Delay 1), reaching the hospital (Delay 2), and receiving adequate care after arrival (Delay 3)--offers a validated lens for locating where that pathway fails. We applied the model to characterise care-pathway barriers affecting LBW neonates admitted to a Kenyan county referral hospital and to relate them to severe adverse outcomes. Methods. Facility-based mixed-methods cross-sectional study of 169 LBW neonate-mother pairs admitted to the newborn unit of Kericho County Referral Hospital, complemented by nine key-informant interviews with providers. Delay indicators were derived for each of the three delays, with denominators defined explicitly. Descriptive statistics summarised each indicator; associations with severe adverse outcome were tested with the chi-square or Fisher exact test (kept descriptive, not modelled). Provider interviews were analysed thematically and coded directly to the three delays; quantitative and qualitative findings were integrated in a delay-structured joint matrix. Results. A severe adverse outcome occurred in 136/169 neonates (80.5%). Pathway barriers clustered before arrival: decision-to-seek-care delay >6 h in 13.6%, a transport-access problem in 32.5%, and residence >10 km from a facility in 34.3%; nearly half (49.1%) were referred/outborn, and among referred neonates 26.5% arrived without a referral note. After arrival, care began within 30 minutes in 66.3%. Referral/outborn status was associated with higher odds of a severe outcome (crude OR 2.25, 95% CI 1.01-5.00; p = 0.043), as was essential drug/feed shortage (OR 2.26, 95% CI 1.04-4.90; p = 0.036). Paradoxically, decision delay, transport problems, and any pathway delay were each associated with a lower proportion of severe outcomes (all p < 0.01); these inverse associations most plausibly reflect confounding by indication and reverse causation--the sickest neonates were prioritised for rapid transfer and care--and should not be read as protective effects of delay. Provider narratives, coded to the three delays, described caregiver danger-sign recognition gaps, transport and referral-coordination barriers (cold, poorly documented arrivals), and first-hour stabilisation, staffing, warm-chain, supply, and monitoring constraints. Conclusions. Barriers for the smallest neonates accumulate along the pre-hospital pathway, and referral status signals more than a transport category--it marks accumulated vulnerability from delayed decision-making, transport constraints, incomplete pre-referral stabilisation, and facility-response gaps. Reducing severe outcomes requires shortening specific, identifiable delays, especially strengthening referral coordination and the fragile first hour after arrival, rather than reproducing a full determinants model.