Development of a quantitative methodology for identifying population groups willing to support the introduction of drug insurance and financial stability assessment of this insurance type in Kazakhstan

 

Project's IRN: AP09259811

Priority: Research in the field of Social Sciences and Humanities

Sub-priority: Fundamental, applied, interdisciplinary research in the field of social sciences: Current problems of social modernization: demography, migration, quality of human resources, quality of life and social inequality, problems of employment and unemployment, scientific organization, rationing and labor safety

Implementation period: 2021-2023 (36 months)

Customer: State Institution “Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan”

Research advisor: Doctor of Economics, Associate Professor L.S. Spankulova

 

  • Relevance and idea of the project:

The current demographic situation is fraught with problems. The main ones are low birth rates, aging of the population, a large gap in the average life expectancy of the population, and a high level of divorce. Each of these indicators worsens the health indicators of the population. Currently, during the COVID-19 Pandemic, a deterioration in public health is inevitable in the country.

 

The Kazakhstani health care system provides access to free medical care for the population. However, the low level of health of citizens and low efficiency in the use of health care resources require the introduction of new methods of payment for medical care: voluntary medical insurance on terms of co-financing.

 

Willingness to pay is a very important factor in assessing the acceptability of a new strategy in practice. Despite the growing need to define “willingness to pay”, there is currently no quantitative methodology for determining “willingness to pay”.

 

In the case when the introduction of new insurance technologies does not require additional costs, but on the contrary reduces costs, it is obvious that this new strategy is cost-effective. But in the case when it is necessary to spend additional funds to achieve benefits from a new strategy, such results are insufficient to identify the acceptability of this technology, since they do not allow assessing the willingness to pay for this technology.

 

According to the calculations of the World Health Organization, it was found that Kazakhstan is inferior to almost all European countries in terms of the value of "willingness to pay" for new medical technologies. This fact should be taken into account when introducing drug insurance and assessing the financial sustainability of this type of insurance.

 

Currently, cost-effectiveness analysis and cost-benefit analysis are used for the economic assessment of new technologies. A willingness to pay analysis can be used to assess the willingness of the population to pay for co-operative health insurance. Depending on the country, the “willingness to pay threshold” may differ.

 

From the point of view of the above-mentioned features of the situation related to the study of public health in Kazakhstan, we consider topical research directions, first of all, those that will allow studying the problems of health insurance at the institutional level in order to develop economic policy measures in this area.

 

  • Project goal:

The goal of this project is to develop a quantitative methodology for identifying population groups willing to support the introduction of drug insurance and financial stability assessment of this type of insurance.

 

  • Expected and achieved results:

– for 2021:

  • analysis of the current state of the Kazakhstani market of voluntary medical insurance and compulsory medical insurance;
  • development of quantitative tools to identify socio-economic characteristics of groups supporting these reforms and opponents of the reform.

 

– for 2022:

  • conducting an online survey among the community on social networks and other platforms;
  • construction of a regression model with sampling by J. Heckman.

 

– for 2023:

  • development of a database for calculations in order to build a panel regression model;
  • construction of a panel regression model for assessing the willingness to pay for cooperative health insurance.

 

  • Research team members:

 

Research advisor

Spankulova, Lazat Seitkaziyevna

 

Doctor of Economics, Associate Professor, Al-Farabi Kazakh National University

 

Areas of Expertise: mathematical methods of economic analysis; economics of social sectors; economics, politics and management in health care; economics of innovation; spatial economics; population and development; population and health, etc.

 

Achievements:

– The Best Researcher - 2021 (MES RK);

– The Best University Teacher - 2010 (MES RK).

 

No.

Full name of the project executor

Position in the project

Academic degree, academic title

Author ID in Scopus

Researcher ID Web of Science

ORCID ID

Google Scholar

1

Spankulova, Lazat S.

Research advisor, Chief Research Fellow

Doctor of Economics, Associate Professor

55985135800

AAR-6610-2020

0000-0002-1865-4681

profile

2

Nuruly, Yeldar

Responsible executor, Research Fellow

PhD student

57198426770

V-7078-2017

0000-0002-9321-2285

profile

3

Mukhamediyev, Bulat M.

Chief Research Fellow

Doctor of Economics, Professor

56069126000

P-5157-2014

0000-0002-1490-302X

profile

4

Kerimbayev, Rashid K.

Senior Research Fellow

Candidate of Physical and Mathematical Sciences

-

-

0000-0003-4615-741X

-

5

Panzabekova, Axana Zh.

Leading Research Fellow

Candidate of Economic Sciences

56107145200

N-8052-2017

0000-0002-6389-9637

profile

6

Tentekova, Raushan K.

Senior Research Fellow

Candidate of Technical Sciences

-

-

-

-

7

Kerimbayev, Azamat R.

Senior Research Fellow

PhD

56646411700

C-4758-2015

0000-0001-6125-2728

-

8

Karatayev, Marat A.

Research Fellow

PhD, Associate Professor

55097340200

-

0000-0002-2760-6323

-

9

Kongyrbay, Adilet R.

Research Fellow

PhD candidat

57195993817

D-7293-2015

0000-0003-1326-0410

-

 

Foreign project consultant

 

Ariun Ishdorj

 

Ph.D., Associate Professor, Texas A&M University, College Station, Texas, USA

 

Areas of Expertise: heath economics, applied and Bayesian econometrics, consumer behavior, demand analysis, assistance programs

Profile: https://agecon.tamu.edu/faculty-staff/faculty/ishdorj-ariun/ 

CV: Ariun Ishdorj CV.pdf

Author ID Scopus: 25825161500

ORCID ID: 0000-0003-0926-4697 

Google Scholar: profile

 

 

Publications for 2021:

  1. Spankulova L.S., Nuruly Y., Kerimbayev A.R., Aimakhanova A.S. The Impact of Socio-Economic Factors on the Willingness of the Population to Maintain and Accumulate Health Capital. Economics: the strategy and practice. 2021;16(3):177-191. (In Russ.) https://doi.org/10.51176/1997-9967-2021-3-177-191
  2. Spankulova L.S., Chulanova Z.K., Kerimbayev A.R. Voluntary health insurance market in Kazakhstan: analysis and development prospects // Modern Management Technology. – 2021. – №3 (96). (In Russ.) URL: https://sovman.ru/article/9604/
  3. Spankulova L.S., Kerimbayev R.K. Multi-Different Benefit Function and Arrow-Pratt Dimension // News of the Khoja Akhmet Yassawi Kazakh-Turkish International University (Mathematics, physics, computer science series). – 2021. – No. 1(16). – P. 39-42. (In Kaz.) Спанкулова-Туркестан.pdf
  4. Kerimbayev R.K. Local nilpotence of polynomial map // News of the Khoja Akhmet Yassawi Kazakh-Turkish International University (Mathematics, physics, computer science series). – 2021. – No. 1(16). – P. 43-45. (In Kaz.) Керимбаев РК-Туркестан.pdf

 

Protected documents for 2021:

  1. Certificate of entry of information into the state register of rights to objects protected by copyright (type of copyright object: database). No. 18563 dated June 9, 2021. “Unified register of voluntary medical insurance and compulsory medical insurance programs in the Republic of Kazakhstan” / Spankulova L.S., Kerimbayev A.R., Nuruly Ye., Kerimbayev R.K. Certificate.pdf
  2. Certificate of entry of information into the state register of rights to objects protected by copyright (type of copyright object: composite work) / No. 19039 dated June 28, 2021. “Unified data archive containing the results of a sociological survey on the topic “Development of a quantitative methodology for identifying population groups willing to support the introduction of drug insurance and financial stability assessment of this insurance type in Kazakhstan”” / Spankulova L.S., Kerimbayev A.R., Nuruly Ye., Kerimbayev R.K. Certificate.pdf

 

Reports to ISPC for 2021:

  1. Spankulova L.S. Socio-economic inequality and public health // Materials of the International scientific and practical conferences “Quality of life: socio-economic priorities and main directions of population welfare growth”. – Almaty: Institute of Economics, SC MES RK, 2021. – P. 31-37. Конф.-ИЭ.pdf
  2. Spankulova L.S., Nuruly E. Methods of declared preferences: conditional assessment of non-market resources on the example of medical insurance // IX International Conference on Education and Research in Tourism and Hospitality. – 18-19 November, 2021.
  3. Spankulova L.S. Development of a quantitative methodology for identifying population groups willing to support the introduction of drug insurance and financial stability assessment of this insurance type in Kazakhstan // International scientific and practical online conference, as part of the celebration of the 30th anniversary of Independence of the Republic of Kazakhstan “Science and education in the modern world: challenges of the XXI century”. – November 12-13, 2021.
  4. Spankulova L.S. Institutional innovations in health insurance: a conditional assessment of non-market resources on the example of drug provision // Materials of the III International Scientific and Practical Conference “Science & Business-2021”. – Almaty: Kazakh University, November 17, 2021. – P. 83-89.