Methods for estimating economic benefits of surgical interventions in low-income and middle-income countries: a scoping review

Objectives Studies indicate that many types of surgical care are cost-effective compared with other health interventions in low-income and middle-income countries (LMICs). However, global health investments to support these interventions remain limited. This study undertakes a scoping review of research on the economic impact of surgical interventions in LMICs to determine the methodologies used in measuring economic benefits. Design The Arksey and O'Malley methodological framework for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist were used to review the data systematically. Online databases were used to identify papers published between 2005 and 2020, from which we selected 19 publications that quantitatively examined the economic benefits of surgical interventions in LMICs. Results Majority of publications (79%) reported the use of disability-adjusted life-years (DALYs) to assess economic impact. In comparison, 21% used other measures, such as the value of statistical life or cost-effectiveness ratios, or no measure at all. 31% were systematic or retrospective reviews of the literature on surgical procedures in LMICs, while 69% either directly assessed economic impact in a specific area or evaluated the need for surgical procedures in LMICs. All studies reviewed related to the economic impact of surgical procedures in LMICs, with most about paediatric surgical procedures or a specific surgical specialty. Conclusion To make informed policy decisions regarding global health investments, the economic impact must be accurately measured. Researchers employ a range of techniques to quantify the economic benefit of surgeries in LMICs, which limits understanding of overall economic value. We conclude that the literature would benefit from a careful selection of methods, incorporating age and disability weights based on the Global Burden of Disease weights, and converting DALYs to dollars using the value of statistical life approach and the human capital approach, reporting both estimates.