Key result
Perioperative mortality measurement in LMICs remains limited by heterogeneous definitions and unstandardized national reporting.
Why the study?
The perioperative mortality rate is a core surgical indicator, but comparing surgical safety across settings depends on how it is defined, measured, and adjusted for case-mix.
Standardized definitions and locally derived risk-adjustment models are needed to improve the comparability and utility of perioperative mortality rates in low- and middle-income countries.
Inconsistent POMR definitions and adjustments limit valid surgical safety comparisons in LMICs; leaves open standardized measurement approaches.
Objective The perioperative mortality rate (POMR) is one of the core indicators endorsed by the Lancet Commission on Global Surgery, yet its value for comparing surgical safety across settings depends on how it is defined, measured and adjusted for differences in case-mix. This scoping review mapped the literature on the measurement and risk adjustment of POMR in low- and middle-income countries (LMICs), and identified the resulting evidence gaps. Methods The review followed the Arksey and O’Malley framework with the Levac refinements and was reported in accordance with the PRISMA extension for Scoping Reviews. Five electronic databases (MEDLINE via PubMed, Embase via Ovid, Scopus, the Cochrane Library and Web of Science) were searched from inception, supplemented by citation searching and grey literature, with no date or language restriction. Eligible sources reported the definition, measurement, reporting or risk adjustment of POMR in adult or paediatric surgical populations in one or more LMICs. Records were deduplicated in Rayyan. Two reviewers independently screened titles/abstracts and full texts, with inter-rater agreement quantified using Cohen’s kappa; disagreements were resolved by discussion with a third reviewer. Data were charted on a standardised form and synthesised narratively. Results Of 1,812 records identified across five databases (PubMed 894, Scopus 461, Embase via Ovid 365, Web of Science 73, Cochrane Library 19), 978 duplicates were removed, leaving 834 unique records. Title and abstract screening excluded 798 records (κ = 0.786, substantial agreement), leaving 36 reports for full-text assessment. Twenty-nine sources met the inclusion criteria (κ = 0.906, almost perfect agreement); seven were excluded, most commonly for high-income-only data without disaggregated LMIC results or for representing an overlapping cohort already captured by a more complete source. Four recurring themes emerged: heterogeneous numerator, denominator, and follow-up definitions that limited comparability; predominance of crude, in-hospital estimates with sparse and unevenly reported case-mix adjustment; feasibility of parsimonious, locally derived risk-adjustment models built on routinely available variables; and persistently uncommon standardised national reporting of POMR, even where indicator collection was otherwise feasible.
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Afolabi et al. (2026) conducted a review in Perioperative mortality (n=29). Measurement and risk adjustment of perioperative mortality rate was evaluated on Measurement and risk adjustment methods for POMR. The measurement of perioperative mortality rate in low- and middle-income countries is limited by heterogeneous definitions, a predominance of crude in-hospital estimates, and a lack of standardized national reporting.
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