Global Burden of Disease (GBD) metrics are widely used within musculoskeletal (MSK) epidemiology as important indicators for population health monitoring and health policy decision-making. Yet, little is known about the primary data input studies that informed the GBD 2019 Study modelled prevalence estimates of MSK disorders.
This project involves a comprehensive review of the primary data input studies that underpin the GBD 2019 Study modelled prevalence estimates for three key MSK conditions— low back pain, neck pain, and knee osteoarthritis—in five countries (Australia, Brazil, Canada, Spain, Switzerland) from 1990 to 2019. In addition, we propose a pragmatic approach to assess the certainty of modelled epidemiologic estimates based on the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) Guidelines 30 – the GRADE approach to assessing the certainty of modelled epidemiologic estimates.
This study will help advance understanding of the primary studies informing GBD modelled metrics and stimulate the advancement of epidemiological studies of MSK disease burden.
Muñoz Laguna J, Puhan MA, Rodríguez Artalejo F, De Pauw R, Wyper GMA, Devleesschauwer B, Santos JV and Hincapié CA (2023) Certainty of the Global Burden of Disease 2019 modelled prevalence estimates for musculoskeletal conditions: a meta-epidemiological study. Int J Public Health 68:1605763. http://dx.doi.org/10.3389/ijph.2023.1605763