It seems like this should be normalized by total population. If a country only had one depressed dude, and he was untreated, I would say this is a small gap, but the map as it is would suggest it was the largest possible gap. Conversely, if every single person in the country was depressed, and only 33% were treated, this map would suggest the gap was very small.
The IHME have published a new global indicator for depression treatment gaps—the ‘minimally adequate treatment rate’.
It’s defined using country-level treatment gap data, and then extrapolated to missing countries using Bayesian meta-regression (combined with other GBD data; there’s already a critique paper on this methodology FWIW).
It seems like this should be normalized by total population. If a country only had one depressed dude, and he was untreated, I would say this is a small gap, but the map as it is would suggest it was the largest possible gap. Conversely, if every single person in the country was depressed, and only 33% were treated, this map would suggest the gap was very small.
It’s in Table 3. I do agree this should be visualised as well.