Article 5W6TP Study Highlights Worldwide Disparities in Treatment Rates for Major Depressive Disorder

Study Highlights Worldwide Disparities in Treatment Rates for Major Depressive Disorder

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martyb
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upstart writes:

Study highlights worldwide disparities in treatment rates for major depressive disorder: Meta-analysis suggests need for scaling up treatment for this severe depression in some low and lower-middle income countries:

In recent years, national and global initiatives have made increasing efforts to address the tremendous burden posed by major depressive disorder. However, treatment rates remain low. Analyses that combine results from studies on depression treatment from different regions can help identify opportunities for improvement. However, many such analyses do not adequately account for variations in study methods that make results from different studies difficult to compare.

To provide further clarity, Ferrari and colleagues conducted an updated analysis of 149 studies on treatment for major depressive disorder conducted in 84 countries between 2000 and 2021. Applying a statistical method known as Bayesian meta-regression analysis, they combined the studies to examine treatment rates around the world.

The findings of this meta-analysis suggest that treatment rates remain low worldwide, and it highlights disparities in treatment between countries with different resource levels. In particular, use of mental health services by people with major depressive disorder is estimated to be 33 percent in high-income countries and just eight percent in low and lower-middle income countries.

Rates of treatment considered to be minimally sufficient for treating major depressive disorder are lower, estimated at 23 percent for high-income countries and 3 percent in low and lower-middle income countries.

Journal Reference:
Modhurima Moitra, Damian Santomauro, Pamela Y. Collins, et al. The global gap in treatment coverage for major depressive disorder in 84 countries from 2000-2019: A systematic review and Bayesian meta-regression analysis, PLOS Medicine (DOI: 10.1371/journal.pmed.1003901)

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