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Global Need for Physical Rehabilitation: Systematic Analysis from the Global Burden of Disease Study 2017.

Tiago Silva JesusMichel D LandryHelen Hoenig
Published in: International journal of environmental research and public health (2019)
Background: To inform global health policies and resources planning, this paper analyzes evolving trends in physical rehabilitation needs, using data on Years Lived with Disability (YLDs) from the Global Burden of Disease Study (GBD) 2017. Methods: Secondary analysis of how YLDs from conditions likely benefiting from physical rehabilitation have evolved from 1990 to 2017, for the world and across countries of varying income levels. Linear regression analyses were used. Results: A 66.2% growth was found in estimated YLD Counts germane to physical rehabilitation: a significant and linear growth of more than 5.1 billion YLDs per year (99% CI: 4.8⁻5.4; r² = 0.99). Low-income countries more than doubled (111.5% growth) their YLD Counts likely benefiting from physical rehabilitation since 1990. YLD Rates per 100,000 people and the percentage of YLDs likley benefiting from physical rehabilitation also grew significantly over time, across locations (all p > 0.05). Finally, only in high-income countries did Age-standardized YLD Rates significantly decrease (p < 0.01; r² = 0.86). Conclusions: Physical rehabilitation needs have been growing significantly in absolute, per-capita and in percentage of total YLDs. This growth was found globally and across countries of varying income level. In absolute terms, growths were higher in lower income countries, wherein rehabilitation is under-resourced, thereby highlighting important unmet needs.
Keyphrases
  • physical activity
  • mental health
  • global health
  • multiple sclerosis
  • machine learning
  • deep learning
  • electronic health record
  • big data
  • artificial intelligence
  • neural network