Background: Estimating the burden of rheumatic diseases (RDs) requires proper evaluation of its lethal and nonlethal consequences. In Colombia, it is possible to find local data and Global Burden of Disease (GBD) reports that collect information from varied contexts and apply complex statistical models, but no on-site estimations are available.
Methods: This was a descriptive study on the burden of RD based on occurrence and mortality data in the general population during 2015, including information and prevalence estimations from the Community Oriented Program for the Control of Rheumatic Diseases (COPCORD) study. Disability-adjusted life years (DALYs) were estimated by combining measures of years of life lost (YLL) and years lived with disability (YLDs). For disability weight estimations among cases, different COPCORD responses were mapped using flowcharts to show the severity distribution according to GBD. All model parameters and results were validated through an expert consensus panel.
Results: Low back pain (LBP) was the RD with the greatest burden of disease, costing 606.05 (95% CI 502.76-716.58) DALYs per 100,000 inhabitants, followed by osteoarthritis (292.11; 95% CI 205.76-386.85) and rheumatoid arthritis (192.46, 95% CI 109.7-239.69).
Conclusions: The burden of RD is as high in Colombia as in other countries of the region. The results offer an interesting tool for optimizing healthcare system design as well as for planning the distribution of human and economic resources to achieve early diagnosis and adequate care of these diseases.
Keywords: Burden of disease; Colombia; Low back pain; Osteoarthritis; Rheumatoid arthritis.
© 2022. The Author(s).