Measuring the geographic distribution of maternal education in Africa

Thesis (Master's)--University of Washington, 2016-08

Beyond the income inequality hypothesis and human health: a worldwide exploration

OBJECTIVE: To analyze whether the relationship between income inequality and human health is mediated through social capital, and whether political regime determines differences in income inequality and social capital among countries. METHODS: Path analysis of cross sectional ecological data from 110 countries. Life expectancy at birth was the outcome variable, and income inequality (measured by the Gini coefficient), social capital (measured by the Corruption Perceptions Index or generalized trust), and political regime (measured by the Index of Freedom) were the predictor variables. Corruption Perceptions Index (an indirect indicator of social capital) was used to include more developing countries in the analysis. The correlation between Gini coefficient and predictor variables was calculated using Spearman's coefficients. The path analysis was designed to assess the effect of income inequality, social capital proxies and political regime on life expectancy. RESULTS: The path coefficients suggest that income inequality has a greater direct effect on life expectancy at birth than through social capital. Political regime acts on life expectancy at birth through income inequality. CONCLUSIONS: Income inequality and social capital have direct effects on life expectancy at birth. The "class/welfare regime model" can be useful for understanding social and health inequalities between countries, whereas the "income inequality hypothesis" which is only a partial approach is especially useful for analyzing differences within countries.

Inequalities in health: living conditions and infant mortality in Northeastern Brazil

OBJECTIVE To analyze the variation of infant mortality as per condition of life in the urban setting.METHODS Ecological study performed with data regarding registered deaths of children under the age of one who resided in Aracaju, SE, Northeastern Brazil, from 2001 to 2010. Infant mortality inequalities were assessed based on the spatial distribution of the Living Conditions Index for each neighborhood, classified into four strata. The average mortality rates of 2001-2005 and 2006-2010 were compared using the Student’s t-test.RESULTS Average infant mortality rates decreased from 25.3 during 2001-2005 to 17.7 deaths per 1,000 live births in 2006-2010. Despite the decrease in the rates in all the strata during that decade, inequality of infant mortality risks increased in neighborhoods with worse living conditions compared with that in areas with better living conditions.CONCLUSIONS Infant mortality rates in Aracaju showed a decline, but with important differences among neighborhoods. The assessment based on a living condition perspective can explain the differences in the risks of infant mortality rates in urban areas, highlighting health inequalities in infant mortality as a multidimensional issue.

Clustering medical tourism in Algarve: setting the first steps for the the health authority

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Renoncement aux soins: comment appréhender cette réalité en médecine de premier recours [Patients forgoing health care for economic reasons: how to identify this in a primary care setting?].

Although the performance of the Swiss health system is high, one out of ten patients in general practitioner's (GP) office declares having foregone care in the previous twelve months for economic reasons. Reasons for foregoing care are several and include a lack of knowledge of existing social aids in getting health insurance, unavailability of GPs and long waiting lists for various types of care. Although long term knowledge of patients or a psychosocial history of deprivation or poverty may help identify individuals at risk of foregoing care, many may remain undetected. We propose then a few instruments to help GPs to identify, in a simple and structured approach, patients at risk of forgoing care for economic reasons; these patients are frequently deprived and sometimes poor.

IPH gives evidence to NI Assembly Health Committee Inquiry into Obesity

IPH Chief Executive, Dr Jane Wilde gave evidence to the Northern Ireland Assembly Health Committee inquiry into obesity. Dr Wilde recommended the following: Supporting the Department of Health’s strategic approach based on an understanding of the nature and complexity of obesity. Urgent and short term action to coordinate current activities and ensure focus on the most vulnerable. Exploring new forms and incentives to promote cross departmental work. Setting intermediate outcomes and targets Building stronger links between research, policy and practice, for example asking the Health Committee to set up a round table of researchers and policy makers Working systematically and transparently to identify key areas for cooperation with UK, Ireland and Europe Drawing from IPH work and other research, Dr Wilde briefed the Health Committee on the extent and impact of obesity, reasons for rising levels of obesity and the need for a stronger strategic response. She highlighted the importance of cross government action, the responsibilities of those beyond the health sector and the need for stronger evidence-informed policy and practice.

The prevention of transmission of blood-borne diseases in the health-care setting

  The risk of transmission of blood-borne pathogens in the health-care setting has become a matter of increasing concern in Ireland in recent years. Health-care workers undertaking exposure-prone procedures are at risk of contracting blood-borne diseases from the patients they are treating and there is also a small risk that patients who are undergoing such procedures may become infected by the health-care workers who are treating them. An Advisory Group on the Transmission of Infectious Diseases in the Health-Care Setting was established in 1995 to advise the Minister for Health on the prevention of the transmission of such diseases. The Advisory Group published its report in 1997. It was realised at that time that this matter would need to be kept under review and a Standing Advisory Committee was established. Guidelines on this subject were published by the Advisory Committee in June1999. In the current document, these guidelines have been substantially revised in the light of recent information and technical developments and are now considered to be a Code of Practice in the area of prevention of the transmission of blood-borne pathogens in the health-care setting.    

Does income inequality cause health and social problems?

Key points• The literature shows general agreement about a correlation between income inequality and health/social problems. • There is less agreement about whether income inequality causes health and social problems independently of other factors, but some rigorous studies have found evidence of this. • The independent effect of income inequality on health/social problems shown in some studies looks small in statistical terms. But these studies cover whole populations, and hence a significant number of lives. • Some research suggests that inequality is particularly harmful beyond a certain threshold. Britain was below this threshold in the 1960s, 1970s and early 1980s, but rose past it in 1986–7 and has settled well above it since 1998–9. If the threshold is significant it could provide a target for policy. • Anxiety about status might explain income inequality’s effect on health and social problems. If so, inequality is harmful because it places people in a hierarchy which increases competition for status, causing stress and leading to poor health and other negative outcomes. • Not all research shows an independent effect of income inequality on health/social problems. Some highlights the role of individual income (poverty/material circumstances), culture/history, ethnicity and welfare state institutions/social policies. • The author concludes that there is a strong case for further research on income inequality and discussion of the policy implications.This resource was contributed by The National Documentation Centre on Drug Use.

Indicators of inequality: Classification and selection of ethnic health disparity indicators

Classification and selection of ethnic disparity health indicators in New Zealand

Gender inequality in health among elderly people in a combined framework of socioeconomic position, family characteristics and social support

This study analyses gender inequalities in health among elderly people in Catalonia (Spain) by adopting a conceptual framework that globally considers three dimensions of health determinants : socio-economic position, family characteristics and social support. Data came from the 2006 Catalonian Health Survey. For the purposes of this study a sub-sample of people aged 65–85 years with no paid job was selected (1,113 men and 1,484 women). The health outcomes analysed were self-perceived health status, poor mental health status and long-standing limiting illness. Multiple logistic regression models separated by sex were fitted and a hierarchical model was fitted in three steps. Health status among elderly women was poorer than among the men for the three outcomes analysed. Whereas living with disabled people was positively related to the three health outcomes and confidant social support was negatively associated with all of them in both sexes, there were gender differences in other social determinants of health. Our results emphasise the importance of using an integrated approach for the analysis of health inequalities among elderly people, simultaneously considering socio-economic position, family characteristics and social support, as well as different health indicators, in order fully to understand the social determinants of the health status of older men and women.

Wage inequality and unemployment with overeducation

A skill-biased change in technology can account at once for the changes observed in a number of important variables of the US labour market between 1970 and 1990. These include the increasing inequality in wages, both between and within education groups, and the increase in unemployment at all levels of education. In contrast, in previous literature this type of technology shock cannot account for all of these changes. The paper uses a matching model with a segmented labour market, an imperfect correlation between individual ability and education, and a fixed cost of setting up a job. The endogenous increase in overeducation is key to understand the response of unemployment to the technology shock.

Allowing for heterogeneity in the decomposition of measures of inequality in health

This paper shows how recently developed regression-based methods for the decomposition ofhealth inequality can be extended to incorporate heterogeneity in the responses of health to the explanatory variables. We illustrate our method with an application to the GHQ measure of psychological well-being taken from the British Household Panel Survey. The results suggest that there is an important degree of heterogeneity in the association of health to explanatory variables across birth cohorts and genders which, in turn, accounts for a substantial percentage of the inequality in observed health.