Establish a connection to the data

[jm-rivera]

There are essentially 5 core indicators that we are interested in extracting:

che - total current health expenditure gghed, pvtd, ext - current health expenditure by source dis - current health expenditure by disease hc - current health expenditure by health care function hf - current health expenditure by financing scheme

full list

[nupur-parikh]

IHME has finally updated their health financing data up to 2020 and their health spending projections up to 2050. I'm going to have a read through the methodology tomorrow to make sure GHED is still the best dataset to be using. I know in past iterations of the IHME dataset they used GHED as their primary source, so will double check tomorrow.

Jorge--if you have time, would be really helpful to get your advice/opinion (if you have any) based on your experience with both databases

[jm-rivera]

Thanks @nupur-parikh, keep me posted. I had written some code earlier to deal with IHME data. So while not as easy to incorporate into this project as the GHED data, we could still explore it.

We had historically used IHME over GHED, but that may have been entirely to how user-friendly and accessible the data was through IHME compared to GHED. What would be helpful to understand is what IHME does to the GHED dataset that makes it different (or whether they just display the GHED indicators without additional modifications).