scholarly journals Main demographic indicators and their infl uence on the health state of the population of Russia

2021 ◽  
Author(s):  
О.А. Бадов
Keyword(s):  
Health Care ◽  
Health Status ◽  
Health Care System ◽  
Social Indicators ◽  
Federal District ◽  
Health State ◽  
North Caucasus ◽  
Demographic Indicators ◽  
Territorial Differentiation ◽  
Care System

Важнейшим фактором, влияющим на состояние здоровья населения, является демографический. В связи с этим, исследование показателей естественного движения насе- ления, динамики численности и многих других являются основополагающими при определе- нии перспектив развития системы здравоохранения и многих других социальных объектов и услуг, так или иначе связанных с населением и поддержанием его здоровья на должном уров- не. Особый интерес представляют исследования динамики рождаемости и смертности за сравнительно большие промежутки времени, включающие в себя какие-либо события, так или иначе повлиявшие на рождаемость и смертность населения. В настоящей статье исследуется территориальная дифференциация рождаемости и смертности населения России в период 2005-2018 гг. Поскольку статья имеет полимасштаб- ный характер: демографические элементы рассматриваются по федеральным округам Рос- сии, ее регионам и, отдельно, по регионам Северо-Кавказского ФО. С целью возможности сопоставления регионов с различными географическо-социальными по- казателями (площадь, численность населения и т.д.) были применены относительные пока- затели (число рождений и смертей за год на 1000 жителей). Результатом исследований явилось выявление территориальной дифференциации основных демографических показателей населения России за 2005-2018 гг. и определение особенностей их влияния на состояние здоровья людей и структуру системы здравоохранения. The most important factor infl uencing the health status of the population is demographic factor. In this regard, the study of indicators of the vital movement of the population, population dynamics and many others are fundamental in determining the prospects for the development of the health care system and many other social facilities and services, one way or another related to the population and maintaining its health at the proper level. Of particular interest are studies of the dynamics of fertility and mortality over relatively long periods of time, including any events that somehow infl uenced the birth and mortality of the population. This article examines the territorial differentiation of the birth and death rates of the population of Russia in 2005-2018. Since the article is of a poly-scale nature, demographic elements are considered for the federal districts of Russia, its regions and, separately, for the regions of the North Caucasus Federal District. In order to be able to compare regions with different geographical and social indicators (area, population, etc.), relative indicators were used (the number of births and deaths per year per 1000 inhabitants). The result of the research was the identifi cation of territorial differentiation of the main demographic indicators of the population of Russia for 2005-2018 and determining the characteristics of their impact on the health status of people and the structure of the health care system.

scholarly journals CONDITION AND PROBLEMS OF FINANCIAL SUPPORT OF THE RUSSIAN HEALTHCARE SYSTEM

2021 ◽  
Vol 10 (34) ◽  
Author(s):  
E.V REPRINTSEVA ◽  
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Russian Federation ◽  
Financial Support ◽  
Federal District ◽  
Public Confidence ◽  
North Caucasus ◽  
Modern Material ◽  
The Russian Federation ◽  
Care System

The current health care system in Russia has a number of unresolved problems associated with a lack of financial support for the industry, which negatively affects the effectiveness of medical activities, the quality and availability of medical services [3]. The imperfection of the model of financial support for the industry, combined with underfunding and the lack of clear control over the rationality of the use of funds, became the reasons for the existing problems - the lack of a modern material and technical base, staff shortages, accompanied by ineffective healthcare and, as a result, a decrease in public confidence in the industry. In the course of the study, the current state and problems of financial support of the health care system of the Russian Federation, associated with the socio-economic differentiation of regions of the country by the level of development, were considered, the existing trends and their causes were identified. It has been established that a steady trend towards a reduction in budgetary expenditures aimed at financing the health care sector continues today. If in 2013 the volume of funding was 1.25 trillion. rubles, then to decreased to 950.7 billion rubles. The assessment of the financing of the regions of the Russian Federation in the context of the grouping by federal districts showed a widespread reduction in budgetary spending on health care, however, to the greatest extent - in the regions of the North Caucasus Federal District and the Siberian Federal District, and to the least - in the Central Federal District and the Northwestern Federal District. This indicates that there is a direct relationship between the level of socio-economic development of a subject and the volume of budgetary spending on health care.

scholarly journals ECONOMETRIC MODEL OF LITHUANIAN HEALTH CARE SYSTEM INDICATORS / LIETUVOS SVEIKATOS PRIEŽIŪROS SISTEMOS RODIKLIŲ EKONOMETRINIS MODELIS

2014 ◽  
Vol 6 (1) ◽  
pp. 33-40
Author(s):  
Viktorija Stasytytė ◽  
Alina Rauktytė
Keyword(s):  
Health Care ◽  
Health Status ◽  
Health Care System ◽  
Econometric Model ◽  
Adequate Model ◽  
Vector Auto Regression ◽  
The Given ◽  
Care Costs ◽  
Auto Regression ◽  
Care System

The article deals with relation between Lithuanian health status,gross domestic product (GDP) and health care costs. The mainpurpose of this analysis was to estimate an adequate model,which would be able to reveal the relation between quality ofLithuanian health care system and its elements. Also, trends ofthese variables are included in the analysis. The methods ofstatistical and econometric analysis, such as PCA, deaggregationprocedure and others were employed. It was concluded that thefirst order vector auto regression model (VECM(1)) adequatelyexplains the given data. Forecast of the variables was performedon the basis of the aforementioned model. Nagrinėjamas sąryšis tarp Lietuvos visuomenės sveikatingumo, bendrojo vidaus produkto (BVP) ir išlaidų, skiriamųsveikatos priežiūrai. Pagrindinis tikslas – sudaryti adekvatų modelį, atskleidžiantį sveikatos priežiūros sistemos kokybėsbei ją lemiančių veiksnių abipusį sąryšį ir tendencijas Lietuvoje. Tyrimo metu taikyti statistiniai bei ekonometriniai analizėsmetodai, įskaitant pagrindinių komponenčių analizę (PCA) bei deagregavimo procedūrą. Buvo prieita prie išvados, kad turimusduomenis adekvačiai aprašo pirmosios eilės vektorinės autoregresijos modelis (VECM(1)). Remiantis sudarytu modeliu atliktosmodelio kintamųjų reikšmių prognozės.

scholarly journals Straggle in health care system for improving health status: what is vital in this challenge?

2020 ◽  
Vol 7 (3) ◽  
pp. 883-883
Author(s):  
Mostafa Mostafazadeh‐Bora ◽  
Mohsen Shahriari
Keyword(s):  
Health Care ◽  
Health Status ◽  
Health Care System ◽  
Care System

Health in Australia today: Health status, the health-care system and the place of public health

2020 ◽  
pp. 38-60
Author(s):  
Vivian Lin ◽  
James Smith ◽  
Sally Fawkes ◽  
Priscilla Robinson ◽  
Sandy Gifford
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Status ◽  
Health Care System ◽  
Care System

A review on children and adolescents’ mental health indicators: Towards a valid mental health assessment in Hungarian youth

2021 ◽  
Vol 25 (4) ◽  
pp. 357-383
Author(s):  
Beáta Erika Nagy ◽  
◽  
Karolina Eszter Kovács ◽  
Tamás Varga ◽  
Péter Boris ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Health Status ◽  
Health Care System ◽  
Health Indicators ◽  
Mental Health Status ◽  
Care Providers ◽  
Effective Prevention ◽  
International Trends ◽  
Care System

The application of appropriate qualitative and quantitative indicators of youth’s mental health is vital for the entire health care system, including the individuals, health care providers, and health policy. These can enable both researchers and policymakers to carry out comparisons across time, interindividual differences and culture. In our scoping review, we aimed to identify psychological, social and systemrelated indicators that can provide direct and indirect information regarding Hungarian youth’s mental health status. Additionally, we focused on providing a model regarding mental health evaluation measures, comparable to the international models. To determine the indicators of mental health, international and Hungarian literature was reviewed through primary and secondary sources. During the analysis, the following databases were searched: ERIC, Google Scholar, MedLine, Pubmed, ResearchGate and Science Direct. A total of 76 papers met the criteria, containing 38 Hungarian studies and 38 international ones. The review revealed that, similar to the international trends, the Hungarian assessment of positive (e.g., satisfaction with life, aspiration index, social support, coping skills, health-preserving behavior), negative (e.g., emotional symptoms, social difficulties, sadness, depression, anxiety) and other mental health indicators (e.g., alcohol abuse, drug-related disorders, suicide, bullying,) can be measured by standardized, validated tests. The indicators identified in the current review can support professionals and policymakers to systematically improve the quality of health care. With the use of appropriate indicators, more accurate results concerning the current mental health status of the children and youth can be provided, which would enable more effective prevention and intervention in the health care system and related domains.

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