From: Ketevan Goginashvili
Date: June 16, 2020 at 16:38:21 GMT+4
To: "HABICHT, Triin" , "mamnadar@gmail.com"
Subject: RE:  [EXT] Re: Georgia FP report: disaggregated analysis for catastrophic spending



Dear Triin,

 

Tomorrow I will send all needed information and revised chapters.

 

With best regards, keti

 

From: HABICHT, Triin [mailto:habichtt@who.int]
Sent: 15 June, 2020 21:04
To: Ketevan Goginashvili ; mamnadar@gmail.com
Subject: FW: [EXT] Re: Georgia FP report: disaggregated analysis for catastrophic spending

 

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

 

From: HABICHT, Triin
Sent: Thursday, June 11, 2020 2:55 PM
To: Ketevan Goginashvili <kgoginashvili@moh.gov.ge>; mamnadar@gmail.com
Subject: RE: [EXT] Re: Georgia FP report: disaggregated analysis for catastrophic spending

 

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:

Population group	Population
Target group
Age group: Pensioners, children aged 0-5 years, students, people registered as disabled
Veterans
Low-income households (70,000-10,000 points) and children aged 6-18 years
Income groups: other individuals below pension age but scoring over 10,000 points on the social assistance scale
Monthly income under 1000 GEL (417 US$)
Annual income under 40,000 GEL (16,667 US$) and monthly income over 1000 GEL (417 US$)
Annual income over 40,000 GEL
Not covered by UHCP
Total population

 

 

Table 2: People covered with private insurance:

	Population
Total population covered with private insurance
Population with private insurance who are also beneficiaries of the UHC Program

 

 

Table3: Total inflation and medical inflation

	2013	2014	2015	2016	2017	2018
Total inflation (%)	2.4	2.0	4.9	1.8	6.7	1.5
Medical inflation (%)	1.5	6.7	10.5	2.1	8.1	2.9
Outpatient care
Inpatient care
Medicines

 

 

 

From: Ketevan Goginashvili <kgoginashvili@moh.gov.ge>
Sent: Monday, June 8, 2020 1:03 PM
To: HABICHT, Triin <habichtt@who.int>; mamnadar@gmail.com
Subject: RE: [EXT] Re: Georgia FP report: disaggregated analysis for catastrophic spending

 

Dear Triin,

 

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

 

With best regards, Keti

 

From: HABICHT, Triin [mailto:habichtt@who.int]
Sent: 5 June, 2020 17:02
To: Ketevan Goginashvili <kgoginashvili@moh.gov.ge>; mamnadar@gmail.com
Subject: RE: [EXT] Re: Georgia FP report: disaggregated analysis for catastrophic spending

 

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

 

From: Ketevan Goginashvili <kgoginashvili@moh.gov.ge>
Sent: Thursday, June 4, 2020 2:08 AM
To: THOMSON, Sarah <thomsons@who.int>; 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

 

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