scholarly journals The Role of Average Health Status - Health Inequalities Matrix for Assessing Impacts on Population Health in Health in All Policies

2015 ◽  
Vol 5 (1) ◽  
pp. 1-15
Author(s):  
Jordan Panayotov
Keyword(s):  
Health Status ◽  
Population Health ◽  
Health Inequalities ◽  
Gold Standard ◽  
Local Context ◽  
Health In All Policies ◽  
Policy Options ◽  
Causal Pathways ◽  
The Matrix ◽  
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.

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.

The Role of Health Inequalities and Assessing Impacts on Population Health

2015 ◽  
Vol 5 (1) ◽  
pp. 68-74
Author(s):  
Shahid Muhammad
Keyword(s):  
Population Health ◽  
Health Inequalities ◽  
Social Care ◽  
Health In All Policies ◽  
Missed Opportunities ◽  
Department Of Health ◽  
Health And Social Care ◽  
Average Health ◽  
Missed Opportunity

In ‘today's' world, technology advances are pacing and surrounding all areas of health and social care. Whilst the ‘age of technology' has its certainties, health professionals are still identifying missed opportunities in diagnosis for specific diseases and this has its own burden and impact on over budgeting and healthcare. There now seems to be charade in allocating the appropriate funds in those sectors that require more man-power than technology. In turn health has now become more about through-put then compassion (Barnett et al. 2012; Department of Health 2012; Luxford and Sutton 2014; Muhammad et al. 2015). Here, the author briefly explores the role of average health status – Health Inequalities (or Panayotov Matrix) for Assessing Impacts on Population Health and Health in All Policies (HiAP) in the ‘age of technology' and missed opportunity in diagnoses, providing a Chronic Kidney Disease (CKD) example.

Health Status of Senior Citizens: A Cross-sectional study

2020 ◽  
Vol 11 (01) ◽  
Author(s):  
Priyanka Beniwal ◽  
Chandrakala Singh
Keyword(s):  
Health Status ◽  
Senior Citizens ◽  
Total Sample ◽  
Cross Sectional Study ◽  
Age Group ◽  
Poor Health Status ◽  
Cross Sectional ◽  
Males And Females ◽  
The Individual ◽  
Average Health

Aging is a series of processes that begin with life and continue throughout the lifecycle. It represents the closing period in the lifespan, a time when the individual looks back on life, lives on past accomplishments and begins to finish off his life course. It represents the accumulation of changes in person over time. The study aims to investigate the health status of senior citizens. The present study was carried out in Hisar and Sirsa district of Haryana state. A total of 400 elderly equally representing both males and females of age group 65-70 years were selected randomly for the study. Modified inventory developed by Khan and Lal (2011) was used to assess health status of senior citizens. The results of the study elucidated that health status of senior citizens depicted that 54.25 per cent of the total respondents had average health status followed by good (25.25%) and poor health status (20.50%). The most common health problems reported by the senior citizens were joint pains, back pains, blood pressure, and chest pain etc. Gender wise comparison of total sample further pointed out that females were poor in their health against males.

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.

The Impact of Income-Based Policies on Population Health and Health Inequalities in Scotland: A Modelling Study

2019 ◽  
Author(s):  
Elizabeth Richardson ◽  
Lynda Fenton ◽  
Jane Parkinson ◽  
Andrew Pulford ◽  
Martin Taulbut ◽  
...  
Keyword(s):  
Population Health ◽  
Health Inequalities ◽  
The Impact ◽  
Health And Health Inequalities ◽  
Modelling Study

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.

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.

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