scholarly journals Equity reporting: a framework for putting knowledge mobilization and health equity at the core of population health status reporting

2018 ◽  
Vol 38 (3) ◽  
pp. 116-124 ◽  
Author(s):  
Lesley Ann Dyck ◽  
Susan Snelling ◽  
Val Morrison ◽  
Margaret Haworth-Brockman ◽  
Donna Atkinson
Keyword(s):  
Health Status ◽  
Population Health ◽  
Health Equity ◽  
Knowledge Mobilization ◽  
The Core

Environmental and Hygienic Assessment of Ambient Air Pollution in Oil-Producing and Oil-Refining Areas of the Republic of Bashkortostan and Population Health Status

2020 ◽  
pp. 26-32
Author(s):  
Z.B. Baktybaeva ◽  
R.A. Suleymanov ◽  
T.K. Valeev ◽  
N.R. Rahmatullin ◽  
E.G. Stepanov ◽  
...  
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Health Status ◽  
Nitrogen Dioxide ◽  
Population Health ◽  
Respiratory Diseases ◽  
Ambient Air ◽  
Oil Refining ◽  
Disease Rates ◽  
Total Suspended Particles

Introduction. High density of oil-producing and refining facilities in certain areas of Bashkortostan significantly affects the environment including ambient air quality in residential areas. Materials and methods. We analyzed concentrations of airborne toxicants (sulfur and nitrogen oxides, nitrogen and carbon oxides, hydrogen sulfide, ammonia, xylenes, toluene, phenol and total suspended particles) and population health status in the cities of Ufa, Sterlitamak, Salavat, Blagoveshchensk, and the Tuymazinsky District in 2007–2016. Pearson's correlation coefficients (r) were used to establish possible relationships between medico-demographic indicators and air pollution. Results. Republican fuel and energy enterprises contributed the most to local air pollution levels. Gross emissions from such enterprises as Bashneft-Ufaneftekhim and Bashneft-Navoil reached 43.69–49.77 thousand tons of pollutants per year. The levels of some air pollutants exceeded their maximum permissible concentrations. Elevated concentrations of ammonia, total suspended particles, nitrogen dioxide, and carbon monoxide were registered most frequently. High rates of congenital abnormalities, respiratory diseases in infants (aged 0-1), general mortality and morbidity of the population were observed in some oil-producing and refining areas. The correlation analysis proved the relationship between the concentration of carbon monoxide and general disease rates in adults based on hospital admissions (r = 0.898), general incidence rates in children (r = 0.957), and blood disease rates in infants (r = 0.821). Respiratory diseases in children correlated with nitrogen dioxide emission levels (r = 0.899). Conclusions. Further development of oil-producing, petrochemical and oil-refining industries should be carried out taking into account socio-economic living conditions of the population.

Social Well-Being of the Population of Russia During the Pandemic (Based on Sample Survey Data)

2021 ◽  
Vol 28 (4) ◽  
pp. 67-79
Author(s):  
L. A. Davletshina ◽  
N. A. Sadovnikova ◽  
A. V. Bezrukov ◽  
O. G. Lebedinskaya
Keyword(s):  
Health Status ◽  
Population Health ◽  
Age Distribution ◽  
Age Groups ◽  
Rank Correlation ◽  
Well Being ◽  
Russian Population ◽  
Sample Survey ◽  
The Social ◽  
The Relationship

The article present results of the authors’ study of the social well-being of the Russian population – an assessment of the population’s health and attitudes towards a healthy lifestyle amid viral pandemic, based on materials of the Rosstat sample surveys of 2019 and 2020 and data from the All-Russian survey conducted by the Russian Public Opinion Research Center (VCIOM) on 27 September 2020. The authors described the transformation of living conditions in the light of the complex epidemiological situation and the increase in coronavirus cases among the population. Changes in the health status of the Russian population were analyzed by individual age groups.The article assesses the strength of the relationship between the social well-being of the population by selected socio-demographic groups and the period of self-isolation, quarantine, or other restrictions imposed during the coronavirus pandemic in 2020. To solve this problem, demographic and socio-economic characteristics of respondents are presented, the distribution of responses according to the survey results is estimated, and the most signifcant factor characteristics are selected. Respondent replies were grouped according to the selected questions, including in the territorial context (by federal districts). To determine the strength of the relationship between the respondents' answers to the question and their gender or age distribution, the coefcients of mutual conjugacy and rank correlation coefcients were calculated and analyzed.Analysis of the changes in the social well-being of population for 2019–2020 and the assessment of the strength of the relationship between the discussed indicators (gender, wealth, territory of residence) revealed the parameters that form the differences. After comparing the health status of the Russian population as a whole and by age groups in 2019 and 2020 based on data of sample survey on population health status, the following points were identifed. With the expected assessment of the population health status in the age distribution (deterioration in the older ages and better health in the younger ones), it also remains unchanged that more than half of the respondents characterize their health status as «very good» and «good». Noteworthy is the fact that the assessment of the health status of the Russian population has improved during the year. It is evidenced from changes in the structure of respondent replies, even though population health status survey of 2020 was conducted in the middle of lockdown amid the continuing negative trends in coronavirus morbidity and mortality.

scholarly journals Health Equity of Rural Residents in Southwest China

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiao-Mei Li ◽  
Jing Kou ◽  
Zhen Yu ◽  
Yuan-Yuan Xiao ◽  
Qiong Meng ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Health Status ◽  
Chronic Diseases ◽  
Ethnic Minorities ◽  
Health Equity ◽  
Yunnan Province ◽  
Hospitalization Rate ◽  
Age Group ◽  
Rural Residents ◽  
Educational Levels

The Chinese government stresses healthcare reform to improve the health of all residents in urban and rural areas. However, much research showed that inequities still existed in health status and health services utilization in China, especially in economically disadvantaged areas. Southwest China's Yunnan Province is an ethnic frontier region with lagging economic development. This study analyzed health equity among rural residents with various socio-economic and demographic statuses in Yunnan Province. Research on this area concerns rural residents. Our study was based on a household study sample consisting of 27,395 participants from six counties in Yunnan. For all participants, data on demographic and socio-economic characteristics, and health status were collected. The chi-square test and logistic regression were used to analyze factors influencing health. The concentration index was used to evaluate health equity. For all respondents, the 2-week prevalence, the prevalence of chronic diseases, and the required hospitalization rate were 7.3, 12.8, and 9.2%, respectively. After adjusting the age proportion of the sixth population census of Yunnan Province, the 2-week prevalence was 7.1%, the prevalence of chronic disease was 10.7%, and the hospitalization rate was 8.4%. The concentration indexes (CIs) reflecting health equity among the respondents with different incomes and educational levels were negative. There was health inequity among respondents with different incomes and educational levels. The respondents with lower incomes and educational levels had worse health. The common influencing factors included gender, age, ethnicity, occupation, marriage status, and the number of family members. Females, the aged, ethnic minorities, farmers, and the divorced or widowed had worse health status than the control groups. Larger numbers of family members correlated with better health. The respondents with lower incomes or educational levels had higher chronic disease prevalences. The associations between the 2-week prevalence, required hospitalization rate, and age were U-shaped; the lowest age group and the highest age group had higher rates. In conclusion, more attention should be paid to females, the aged, ethnic minorities, farmers, the divorced or widowed, residents with low income and low educational level, and those with chronic diseases.

Unele aspecte a starii sanatatii populatiei în raioanele Orhei si Telenesti

2019 ◽  
Author(s):  
Nicolae Bodrug ◽  
Keyword(s):  
Health Status ◽  
Environmental Factors ◽  
Environmental Pollution ◽  
Population Health ◽  
Ecological Factors ◽  
Environmental Risks ◽  
Economic Situation ◽  
Medical Services ◽  
Human Biology

. Environmental pollution affects population health depending on the extension and the degree of exposure to environmental factors. In most cases it is difficult to obtain an accurate situation of exposure of population to harmful factors. Health status is determined by: human biology, ecological factors, the socio-economic situation of each person, and the quality of medical services. In according to regional peculiarities the interdependence of those factors could vary, but not significantly. The environmental risks are everywhere but diminishing them may improve the health status of the population.

The Role of Average Health Status

2016 ◽  
pp. 884-899
Author(s):  
Jordan Panayotov
Keyword(s):  
Health Status ◽  
Population Health ◽  
Gold Standard ◽  
Health Impact ◽  
Local Context ◽  
Policy Options ◽  
The Matrix ◽  
The Right ◽  
No Gold Standard ◽  
Average Health

Economic, social and environmental policies, programs and projects have impact on health. Health in All Policies (HiAP) aims to improve population health by taking into account these impacts. HiAP needs appropriate tools for assessing impacts on population health. When making choices between policy options, decision-makers rely on predictions from Health Impact Assessment. Currently there is no gold standard for establishing and assessing validity of predictions. This paper distinguishes between two levels of causal pathways regarding health impacts – specific and conditional, and proposes the Average Health Status – Health Inequalities Matrix as gold standard. The Matrix facilitates making the right choices at any level and local context, thus is useful for researchers, policy-makers and practitioners for designing, analysing and evaluating all kinds of policies. By allowing quick, reliable and inexpensive appraisal of different policy options the matrix makes feasible taking into account the impacts on population health and paves the way for institutionalizing of HiAP.

Conclusion

2019 ◽  
pp. 183-192
Author(s):  
Fran Baum
Keyword(s):  
Public Health ◽  
Human Health ◽  
Population Health ◽  
Health Equity ◽  
Good Governance ◽  
Well Being ◽  
Planetary Health ◽  
Essential Tool

This chapter distills the contents of the book into six central messages: (1) reducing inequities is the central, vital mechanism for building population health; (2) human health is intimately connected to planetary health and needs to be viewed as part of the broader ecosystem; (3) how we govern is vitally important to how healthy, sustainable and equitable we are: good governance is centrally concerned with the involvement of all sectors to promote health and reduce inequities; (4) regulation is a powerful and essential tool for public health; (5) new ways of measuring progress are important; (6) ubiquitous leadership is required for health, equity, and well-being. The chapter elaborates on each of these and then ends with a consideration of the importance of maintaining hope and acting with courage.

scholarly journals Comparison of Different Valuation Methods for Population Health Status Measured by the EQ-5D in Three European Countries

2009 ◽  
Vol 12 (5) ◽  
pp. 750-758 ◽  
Author(s):  
Sebastian Bernert ◽  
Ana Fernández ◽  
Josep Maria Haro ◽  
Hans-Helmut König ◽  
Jordi Alonso ◽  
...  
Keyword(s):  
Health Status ◽  
Population Health ◽  
European Countries ◽  
Valuation Methods
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