Ainur Amirova

Women’s participation and the nature of assistance in the provision of social policies, especially in healthcare related to socially significant diseases, is becoming more prominent. The aim of this study is to develop proposals for streamlining the palliative care system in Kazakhstan based on the analysis of the influence of women volunteers on the process of public administration. The paper interviewed two groups of respondents: volunteers and workers (medical institutions and charity organizations employees). Atlas.ti software was used to analyze and construct specific feedback on the data received. The coding results revealed that women volunteers act as an intermediary between the state administration and the palliative care system. In addition, it was determined that the prominent participants in developing the palliative care system are hospitals and charitable foundations. In general, the contribution of women volunteers to financial assistance, organization of training and master classes for doctors in the field of oncology, and provision of additional beds for patients and consultations was revealed. Further, the state’s main shortcomings in organizing palliative care were identified: poor regional budgeting system, weak legislative system, and inadequate financing of hospitals. The findings imply that women volunteers should be given a higher status and included in the public administration structure, especially for different representations of the needs of minorities.

Acknowledgments
This study is funded by the Science Committee of the Ministry of science and higher education of the Republic of Kazakhstan (Grant “Priorities and mechanisms against rural women of Kazakhstan unequal access to the resources” No. AP14869297).

Higher education institutions are the core of the nation’s vocational education. This study aims to analyze the features of higher education institutions and their functioning in all Kazakhstan regions, allowing equal access to high-quality and necessary education. The data were collected from official statistical data by the Statistical Bureau of Kazakhstan and other official statistics for 2002–2021. The collected data were processed, and multivariate regression equations for each Kazakhstan region were constructed using the EViwes10 Atlas.ti software to illustrate the algorithm and hierarchy of the educational system of Kazakhstan. The regression results showed that in some regions, the relationships are differentiated, and the correlation values indicate a significant relationship between the indicators. In particular, Akmola, Karaganda, Kostanay, North Kazakhstan, Astana city, and Almaty city demonstrated strong relationships between the indicators. 11 out of 17 created models were excluded from the evaluation process due to the absence or low connection with the dependent factor, the lack of statistical significance of the coefficients, and the low level of reliability of the models obtained. In turn, within particular regions, the degree of such a relationship was weak. Moreover, there are grounds to assert the need to stimulate public policy and implement systemic measures to create favorable conditions to strengthen educational potential.

Acknowledgment
This study is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant “Strategy for the development of regional potential of Kazakhstan: Assessment of socio-cultural and economic potentials, development of a roadmap, models and scenarios of development” No. BR18574240).