Global access to surgical care: a modelling study

Abstract

Background: More than 2 billion people are unable to receive surgical care based on operating theatre density alone. The vision of the Lancet Commission on Global Surgery is universal access to safe, affordable surgical and anaesthesia care when needed. We aimed to estimate the number of individuals worldwide without access to surgical services as defined by the Commission's vision.

Methods: We modelled access to surgical services in 196 countries with respect to four dimensions: timeliness, surgical capacity, safety, and affordability. We built a chance tree for each country to model the probability of surgical access with respect to each dimension, and from this we constructed a statistical model to estimate the proportion of the population in each country that does not have access to surgical services. We accounted for uncertainty with one-way sensitivity analyses, multiple imputation for missing data, and probabilistic sensitivity analysis.

Findings: At least 4·8 billion people (95% posterior credible interval 4·6-5·0 [67%, 64-70]) of the world's population do not have access to surgery. The proportion of the population without access varied widely when stratified by epidemiological region: greater than 95% of the population in south Asia and central, eastern, and western sub-Saharan Africa do not have access to care, whereas less than 5% of the population in Australasia, high-income North America, and western Europe lack access.

Interpretation: Most of the world's population does not have access to surgical care, and access is inequitably distributed. The near absence of access in many low-income and middle-income countries represents a crisis, and as the global health community continues to support the advancement of universal health coverage, increasing access to surgical services will play a central role in ensuring health care for all.

Funding: None.

Conflict of interest statement

Declaration of interests

We declare no competing interests.

Copyright © 2015 Alkire et al. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd.. All rights reserved.

Figures

Figure 1. Chance tree to assess global access to surgical care

Each chance node represents a dimension of access.

Figure 2

Posterior probability of global population without access to surgery

Figure 3. Proportion of population without access to surgery by Institute for Health Metrics and Evaluation global burden of disease super region

GBD=global burden of disease. Error bars=95% posterior credible interval.

Figure 4

Proportion of population without access to surgery by country (selective tree with baseline assumptions)