Dear Triin,

Tomorrow I will send all needed information and revised chapters.

With best regards, keti

Dear Keti and Mamuka,

Please find attached the revised version of chapter 6 and 7. I’d be very grateful if you could have a quick look and let be know by Wednesday if you have any comments.

Keti – have you had time to have a look on the data request below and do you think it would be also possible to get these number by Wednesday? Then we could move forward with the finalization of the report.

Best

Triin

Dear Keti and Mamuka,

Thanks a million for finding time for a call. It was so nice to meet you and it was very helpful for me.

Keti, here are 3 tables as agreed (see below). Let me know if something is unclear or it would be easier to provide data in some other format. I also attach the file with figures and Fig d is made based on the NHA 2017 data tables. It would be great if you could have a look if it looks correct.

Many thanks again!

Best

Triin

Table 1: UHC Program beneficiaries:

Table 2: People covered with private insurance:

Table3: Total inflation and medical inflation

Dear Triin,

I hope you are doing well. Thursday or Friday afternoon is convenient for me.

With best regards, Keti

Dear Keti and Mamuka,

Hope you’re doing well!

As Sarah indicated in her email, I’m currently reviewing the report and it would be great if we could have a call next week to discuss some questions and also potential policy messages. Would next Thursday or Friday afternoon work for you?

Have a good weekend,

Triin

Dear Sarah,

Thank you for your support. Mamuka and me will discuss the capabilities of the database and we will get back to you soon.

With best regards, Keti

Dear Keti and Mamuka

Thanks to you both for updating the analysis to include the 2017 and 2018 data.

In follow up to Jorge’s email, it would be great if we could disaggregate households with catastrophic health spending using socioeconomic factors in addition to household consumption quintiles.

In other countries, we have used:

·         urban-rural

·         household structure (eg single person household, household with no children, household with children, household with x children etc)

·         age / gender of the head of the household

·         household economic activity or sources of income (eg employed, unemployed, pensioner, social beneficiary etc)

·         health insurance status (eg with voluntary health insurance or not, type of entitlement to publicly financed health care etc)

You will know what the household budget survey in Georgia permits us to look at.

I also copy Triin, who is currently reviewing the report, in case she has ideas of the types of categories it might be good to capture in Georgia.

When you do the analysis, it is good to produce two types of analysis: a) the breakdown of all households with catastrophic health spending by category and b) the incidence of catastrophic health spending within different categories.

With thanks and best wishes

Sarah