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. 2015 Jan;39(1):62-9.
doi: 10.1007/s00268-014-2544-9.

Injury, disability and access to care in Rwanda: results of a nationwide cross-sectional population study

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Injury, disability and access to care in Rwanda: results of a nationwide cross-sectional population study

Robin T Petroze et al. World J Surg. 2015 Jan.

Abstract

Background: Disparities in access to quality injury care are a growing concern worldwide, with over 90 % of global injury-related morbidity and mortality occurring in low-income countries. We describe the use of a survey tool that evaluates the prevalence of surgical conditions at the population level, with a focus on the burden of traumatic injuries, subsequent disabilities, and barriers to injury care in Rwanda.

Methods: The Surgeons OverSeas Assessment of Surgical Need (SOSAS) tool is a cross-sectional, cluster-based population survey designed to measure conditions that may necessitate surgical consultation or intervention. Questions are structured anatomically and designed around a representative spectrum of surgical conditions. Households in Rwanda were sampled using two-stage cluster sampling, and interviews were conducted over a one-month period in 52 villages nationwide, with representation of all 30 administrative districts. Injury-related results were descriptively analyzed and population-weighted by age and gender.

Results: A total of 1,627 households (3,175 individuals) were sampled; 1,185 lifetime injury-related surgical conditions were reported, with 38 % resulting in some form of perceived disability. Of the population, 27.4 % had ever had a serious injury-related condition, with 2.8 % having an injury-related condition at the time of interview. Over 30 % of household deaths in the previous year may have been surgically treatable, but only 4 % were injury-related.

Conclusions: Determining accurate injury and disability burden is crucial to health system planning in low-income countries. SOSAS is a useful survey for determining injury epidemiology at the community level, which can in turn help to plan prevention efforts and optimize provision of care.

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