scholarly journals Health Care System and the Health Status in Lao Cai, Vietnam

2012 ◽  
Vol 6 (3) ◽  
pp. 95-106 ◽  
Author(s):  
Tae-Hyung Yoon
Keyword(s):  
Health Care ◽  
Health Status ◽  
Health Care System ◽  
Lao Cai ◽  
Care System

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 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.

scholarly journals Strategies for post-conflict development of the Health Systems in Somalia: lessons from selected countries

2021 ◽  
Author(s):  
Maye Omar
Keyword(s):  
Health Care ◽  
Health Status ◽  
Health System ◽  
Health Systems ◽  
Health Care System ◽  
Health Sector ◽  
World Health ◽  
Post Conflict ◽  
The World ◽  
Care System

Until the beginning of 1991, Somalia had a reasonable health care system with a good number of tertiary hospitals in Mogadishu and Hargeisa, some regional hospitals, district hospitals, clinics, child and mother health centres (CMH) and out-patient dispensaries. However, the conflict resulting from the civil war has destroyed the public health care system which existed in the country. Somalia was not alone in having conflicts. The total number of conflicts in the world in 2017 was 49, many of them have now entered post-conflict phases, where open warfare has come to an end. There is growing evidence that conflict has a devastating impact on health systems and the health status of the population. In Somalia, the post-conflict phase provides a unique window of opportunity for health sector development and reform. At this juncture, health systems in Somalia face the double burden of a flawed pre-conflict health system, characterised by deficiencies and inequities, and the long-term impact of conflict on the health status of the population and its resultant strain on the health system. This review article analyses the framework for the rehabilitation of health systems in post-conflict countries. Such knowledge can be applied in the rehabilitation and development of health systems in Somalia along the lines of the World Health Organization’s health system building blocks. The impact of conflict on the health status of the population as well as the health system can be catastrophic and be felt for years after the State has entered the post-conflict phase, but also provides an opportunity for reforms of the affected State’s health sector.

A New Planning Methodology to Assess the Impact of the Health Care System on Health Status

Medical Care ◽  
1978 ◽  
Vol 16 (12) ◽  
pp. 1027-1035 ◽  
Author(s):  
Arnold I. Kisch ◽  
L Jeff Harris ◽  
Emmett Keeler ◽  
David E. Drew ◽  
Marie E. Michnich ◽  
...  
Keyword(s):  
Health Care ◽  
Health Status ◽  
Health Care System ◽  
Planning Methodology ◽  
The Impact ◽  
Care System
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