Dear Jorge Alejandro,

Disaggregation by rural and urban is available, by age we need For age/gender, also household economic activity we need additional data from Geostat.

Also we will check availability to send you data base.

With best regards, Keti

From: GARCIA, Jorge Alejandro [mailto:jogarcia@who.int]
Sent: 17 June, 2020 12:31
To: Ketevan Goginashvili ; THOMSON, Sarah ; mamnadar@gmail.com
Cc: HABICHT, Triin
Subject: Re: [EXT] Re: Georgia FP report: disaggregated analysis for catastrophic spending

Dear Ketevan and Mamuka,

I wanted to follow-up on this email. Have you been able to check the available socioeconomic variables for disaggregating the FP analysis for Georgia?

If needed, I could help with the analysis if I had the access to the data

Best wishes,

Jorge Alejandro

_________________________________________________________

Jorge Alejandro García Ramírez

Medical Doctor, MSc Health Policy, Planning and Financing

Consultant at the WHO Barcelona Office for Health Systems Strengthening

Barcelona, Spain

Web: http://www.euro.who.int/en/health-topics/Health-systems/health-systems-financing

LinkedIn: https://www.linkedin.com/in/jorgegarciamd

From: Ketevan Goginashvili <kgoginashvili@moh.gov.ge>
Sent: Thursday, June 4, 2020 2:08 AM
To: THOMSON, Sarah <thomsons@who.int>; mamnadar@gmail.com <mamnadar@gmail.com>
Cc: GARCIA, Jorge Alejandro <jogarcia@who.int>; HABICHT, Triin <habichtt@who.int>
Subject: [EXT] Re: Georgia FP report: disaggregated analysis for catastrophic spending

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

From: Sarah THOMSON <thomsons@who.int>
Date: Wednesday, June 3, 2020 at 16:04
To: Ketevan Goginashvili <kgoginashvili@moh.gov.ge>, Mamuka Nadareishvili <mamnadar@gmail.com>
Cc: Jorge GARCIA <jogarcia@who.int>, Triin HABICHT <habichtt@who.int>
Subject: RE: Georgia FP report: disaggregated analysis for catastrophic spending

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

From: GARCIA, Jorge Alejandro
Sent: Wednesday, 3 June 2020 12:36
To: Ketevan Goginashvili <kgoginashvili@moh.gov.ge>; mamnadar@gmail.com; THOMSON, Sarah <thomsons@who.int>
Subject: Georgia FP report: disaggregated analysis for catastrophic spending

Dear Ketevan and Mamuka

As commented before, I have been working with Sarah on updating the FP figures for the Georgia country report. I managed to produce new figures (attached) and we were wondering if you could help us with something:

Would you be able to produce Fig. 21 (in the excel file) to break down the cata households by socioeconomic variables eg urban rural, age structure, any other variable available? This would really add value to the analysis and the report. See an example of the intended figure in Fig 19 of this report for Moldova

Do you have the microdata available? which socioeconomic variables for disaggregation would be available?

Thanks in advance for your answer, have a good day