RESUMO
In rural sub-Saharan Africa, preventable delays in accessing emergency care remain a dominant factor in maternal and neonatal deaths. The MOMENTUM study is a pragmatic cohort investigation designed to measure the "Three Delays", i.e. delays in recognizing need for care (Type 1), reaching care (Type 2), and receiving care (Type 3) within a remote island health system on Lake Victoria, Kenya. The study utilizes an adaptive methodology to provide actionable data for a locally-directed "Health Navigation" intervention. We present analysis of 56 maternal and neonatal emergency cases occurring between January 2019 and February 2020. The mean Total Delay Interval (Type 1-3) reported was 39.3 ± 32.3hours. Notably, 18 cases in this cohort resulted in a neonatal (n = 16) or maternal death (n = 2). Sub-analysis indicates significant delay interval reductions associated with involvement of a "Health Navigator" in emergency care coordination for Type 2 Delay Intervals (0.5 ± 0.3 vs. 1.2 ± 1.1 hrs., p = 0.002) and Type 3 Delay Intervals (17.9 ± 14.1 vs. 32.9 ± 33.7 hrs., p = 0.030). Prolonged delays, complex barriers, and high mortality highlight the fraught nature of maternal emergencies in this remote setting. We discuss practical considerations for application of the Three Delays model, and avenues for further investigation.
Assuntos
Lagos , Morte Materna , Feminino , Humanos , Recém-Nascido , Quênia , Mortalidade Materna , População RuralRESUMO
Despite worldwide improvements in maternal and infant mortality, mothers and babies in remote, low-resource communities remain disproportionately vulnerable to adverse health outcomes. In these settings, delays in accessing emergency care are a major driver of poor outcomes. The 'Three Delays' model is now widely utilised to conceptualise these delays. However, in out-of-hospital contexts, operational and methodological constraints present major obstacles in practically quantifying the 'Three Delays'. Here, we describe a novel protocol for the MOMENTUM study (Monitoring of Maternal Emergency Navigation and Triage on Mfangano), a 12-month cohort design to assess delays during obstetric and neonatal emergencies within the remote villages of Mfangano Island Division, Lake Victoria, Kenya. This study also evaluates the preliminary impact of a community-based intervention called the 'Mfangano Health Navigation' programme. Utilising participatory case audits and contextually specific chronological reference strategies, this study combines quantitative tools with deeper-digging qualitative inquiry. This pragmatic design was developed to empower local research staff and study participants themselves as assets in unravelling the complex socio-economic, cultural, and logistical dynamics that contribute to delays, while providing real-time feedback for locally driven intervention. We present our methods as an adaptive framework for researchers grappling with similar challenges across fragmented, rural health landscapes.