Summary
This study describes the development and implementation of a provider-driven electronic data collection tool for prospective perioperative monitoring in a Kenyan tertiary hospital, capturing 8,419 of 11,875 surgical cases between January 2014 and September 2015. The tool successfully identified significant mortality risk differences across procedure types, with general surgery, neurosurgery, and emergency procedures showing substantially higher 7-day mortality (3.65%, 2.41%, and 3.63% respectively) compared with caesarean delivery (0.53%). The work demonstrates a scalable solution for improving perioperative data quality and safety surveillance in low- and middle-income healthcare settings.
UK applicability
Whilst UK perioperative data systems are more mature, this methodology may inform improvements to real-time safety surveillance in resource-constrained clinical settings and provides a model for asynchronous electronic reporting that could support international healthcare quality networks. The findings on procedure-specific mortality risks are clinically relevant globally but reflect Kenya's specific case mix and healthcare infrastructure.
Key measures
7-day perioperative mortality rate (primary outcome); procedure type; data capture rates (quarterly range 26–93%); odds ratios for mortality by surgical category; comparison of electronically captured versus manually collected cases
Outcomes reported
The study measured perioperative mortality rates at 7 days post-operation and compared mortality risk across different surgical procedure types in a Kenyan tertiary referral hospital. Electronic data capture rates and case completeness were also assessed.
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