Reducing social inequalities in health: public health, community health or health promotion?

While the Consortium on 'Community Health Promotion' is suggesting a definition of this new concept to qualify health practices, this article questions the relevance of introducing such a concept since no one has yet succeeded in really differentiating the three existing processes: public health, community health, and health promotion. Based on a literature review and an analysis of the range of practices, these three concepts can be distinguished in terms of their processes and their goals. Public health and community health share a common objective, to improve the health of the population. In order to achieve this objective, public health uses a technocratic process whereas community health uses a participatory one. Health promotion, on the other hand, aims to reduce social inequalities in health through an empowerment process. However, this is only a theoretical definition since, in practice, health promotion professionals tend to easily forget this objective. Three arguments should incite health promoters to become the leading voices in the fight against social inequalities in health. The first two arguments are based on the ineffectiveness of the approaches that characterize public health and community health, which focus on the health system and health education, to reduce social inequalities in health. The third argument in favour of health promotion is more political in nature because there is not sufficient evidence of its effectiveness since the work in this area is relatively recent. Those responsible for health promotion must engage in planning to reduce social inequalities in health and must ensure they have the means to assess the effectiveness of any actions taken.     

Is social capital the key to inequalities in health?

There has been vigorous debate between the "social capital" and "neomaterialist" interpretations of the epidemiological evidence regarding socioeconomic determinants of health. We argue that levels of income inequality, social capital, and health in a community may all be consequences of more macrolevel social and economic processes that influence health across the life course. We discuss the many reasons for the prominence of social capital theory, and the potential drawbacks to making social capital a major focus of social policy. Intervening in communities to increase their levels of social capital may be ineffective, create resentment, and overload community resources, and to take such an approach may be to "blame the victim" at the community level while ignoring the health effects of macrolevel social and economic policies.     

Two patterns of social inequalities in mortality in Barcelona, Spain?

BACKGROUND: The aims of this study were to describe social inequalities in mortality amongst Basic Health Areas in Barcelona Spain and to analyze the patterns of social inequalities in health. METHODS: This is an ecological study of all deaths of residents in Barcelona in 1989-93. The unit of analysis was the Basic Health Area. Socio-economic and mortality indicators (overall mortality and the main causes of death) were studied. Relative risk estimates between socio-economic and mortality indicators were calculated through Poisson regression models. RESULTS: An unequal socioeconomical and mortality distribution was observed between areas. The following variables were found to be associated with lower socio-economic conditions: overall mortality (RR = 1,48, males), specific mortality: malignant neoplasm of trachea, bronchus and lung (RR = 1, 64, males), chronic liver disease and cirrhosis (RR = 2,33, males), AIDS (RR = 3,42, males and females), drug overdose (RR = 5,18, males and females), tuberculosis (RR = 6,3, males and females), pneumonia, bronchitis, emphysema and asthma (RR = 1,41, males), and external causes (RR = 2,29, males). The increase in risk with deteriorating socioeconomic situation was linear for cirrhosis and bronchitis, emphysema and asthma, and close to linearity for malignant neoplasm of trachea, bronchus and lung. For AIDS, drug overdose, and tuberculosis, the increase in risk was not linear, being much higher for those areas with higher levels of unemployment. CONCLUSIONS: All causes of death that have been found to be associated with social inequalities are related with life-styles (smoking, excessive alcohol consumption and parenteral drug use). There are two patterns of social inequalities in health: AIDS, drug overdose and tuberculosis stand out as pathologies associated to extreme unfavourable socioeconomic situation, for which it is likely that there are some conditions favouring health problems associated with margination.     

Mapping the determinants of health inequalities in social space: can Bourdieu help us?

Considerable research effort has been devoted to describing and explaining, at a variety of spatial scales, geographical inequalities in health outcomes within the developed world. Following Bourdieu, we argue that structures of the social world may be revealed in different kinds of 'social' space. We outline the relational thinking that underlies these ideas. We then 'map', using correspondence analysis (on which Bourdieu himself drew), the structure of social space according to the differential availability of some forms of capital, across four study areas in north-west England. We use logistic regression analysis to explain variation in psychological morbidity (GHQ-score) and then portray the significant predictors of morbidity using multiple correspondence analysis. The area of residence of the survey respondents is used to associate them with particular locations in these social spaces.     

Contrasting children and women’s health and the determinants of health in a small-sized city

Contrasts that exist in urban infrastructure and accessibility of public health and social services between suburban and urban districts of mega-cities have been well defined. There has been less research in small-sized cities (population under 500,000). This cross-sectional study was done on 1,728 ever-married reproductive-aged women living in Manisa, Turkey, in the year 2000. The probability proportion to size cluster sampling approach was used in the sample selection. Data were collected for women and 7,016 inhabitants of the interviewed households. The data were collected from the women by face to face interviews. Suburban areas (illegally occupied public land called “Gecekondu” dwellings) in Manisa differ from other urban regions (legal settlements of the city) on socioeconomic factors including household occupancy, adult literacy, social class, rates of religious marriages, unemployment, health insurance coverage, migration, cultural segregation, and social status of women. Some traditional practices were also highly prevalent in gecekondu families, where poverty is more common. Although gross fertility rate (GFR), total fertility rate (TFR), and percent decrease of the TFR were higher for gecekondu women than urban women, total wanted fertility rate (TWFR) was lower. In urban neighborhoods, prevalence of contraceptive use was higher, and the infant and child mortality rates were lower; however, when rates were adjusted for mother’s age, education and number of births, the differences turned out to be nonsignificant. Women living in urban areas receive better antenatal care, child immunization services, and professional health delivery assistance and services in a health facility; these services are very scarce in gecekondu districts. Health status of gecekondu populations can be improved by social and economic support and by making health services more available and accessible, especially maternity and child health services.     

Do social relations explain health inequalities? Evidence from a longitudinal survey in a changing eastern German region

Objectives

This study explores the contribution of social relations to explain inequalities in self-rated health in a changing north-eastern German region. So far, there are only few studies that analysed the mediating effects of social relations in a longitudinal design.

Methods

We used data from the Study of Health in Pomerania (SHIP) consisting of 3,300 randomly selected men and women at baseline (2001), and at the 5-year follow-up (2006). Indicators of social inequality were education, equivalent household income and occupational status. Social relations were estimated by the Social Integration Index (SII) and the perceived instrumental and emotional support. Self-rated general health was assessed at both waves of data collection.

Results

Depending on the indicators used, social relations explain up to 35% of the inequalities in self-rated health. Changes in odds ratios are slightly more pronounced when education and income are used as inequality indicator and when adjusting for the SII.

Conclusions

Overall findings suggest that social relations are an important explanatory factor for health inequalities in a deprived German region.     

Do NHS clinicians and members of the public share the same views about reducing inequalities in health?

Decisions about how to allocate resources in health care are as much about social value judgements as they are about getting the medical facts right. In this context, it is important to compare the social preferences of members of the general public with those of National Health Service (NHS) staff involved in service delivery. A questionnaire eliciting peoples' preferences over maximising life expectancy and reducing inequalities in life expectancy between the highest and lowest social classes was completed by 271 members of the UK public and 220 NHS clinicians. The two samples have different preferences with the general public showing a greater willingness than clinicians to sacrifice total health for a more equal distribution of health. These differences may highlight tensions between what the public wants and what clinicians want, and should be subject to further investigation.     

Ignoring social factors in clinical decision rules: a contribution to health inequalities?

Much work has been published on health inequalities and thehealth-care system. Ignoring the fact that it is risky to summarizea literature review in a single sentence, I would suggest thatmost publications on this subject have focused on the conditionsof primary access to care. Far fewer papers have investigatedthe next step: what happens when patients have had a first contactwith the health-care system. While data are more sparse, they     

Does reporting behaviour bias the measurement of social inequalities in self-rated health in Indonesia? An anchoring vignette analysis

Purpose

Studies on self-rated health outcomes are fraught with problems when individuals’ reporting behaviour is systematically biased by demographic, socio-economic, or cultural factors. Analysing the data drawn from the Indonesia Family Life Survey 2007, this paper aims to investigate the extent of differential health reporting behaviour by demographic and socio-economic status among Indonesians aged 40 and older (\(N = 3735\)).

Methods

Interpersonal heterogeneity in reporting style is identified by asking respondents to rate a number of vignettes that describe varying levels of health status in targeted health domains (mobility, pain, cognition, sleep, depression, and breathing) using the same ordinal response scale that is applied to the self-report health question. A compound hierarchical ordered probit model is fitted to obtain health differences by demographic and socio-economic status. The obtained regression coefficients are then compared to the standard ordered probit model.

Results

We find that Indonesians with more education tend to rate a given health status in each domain more negatively than their less-educated counterparts. Allowing for such differential reporting behaviour results in relatively stronger positive education effects.

Conclusion

There is a need to correct for differential reporting behaviour using vignettes when analysing self-rated health measures in older adults in Indonesia. Unless such an adjustment is made, the salutary effect of education will be underestimated.

     

Combining a job and children: contrasting the health of married and divorced women in the Netherlands?

The research question of this paper is whether the combination of paid employment and taking care of children promotes or damages the health of married and divorced women in the Netherlands. To answer this question, data are used from 936 women aged 30-54 years who were either living with a partner (N = 431) or divorced and living alone 505). The findings show that combining a job outside the home and childcare does not harm women's health, irrespective of the length of the working week and the age of the children. In fact, some work-childcare combinations are associated with better health. This is true for both married and divorced women and especially holds true in the case of a part-time job and having older children. Two effects are responsible for the findings: enjoying good health enables mothers to work outside the home (selection effect) and working outside the home promotes mothers' health (health effect).     

Beyond ‘beer,fags, egg and chips’? Exploring lay understandings of social inequalities in health

This paper seeks to contribute to the limited body of work that has directly explored lay understandings of the causes of health inequalities. Using both quantitative and qualitative methodology, the views of people living in contrasting socio-economic neighbourhoods are compared. The findings support previous research in suggesting that lay theories about causality in relation to health inequalities, like lay concepts of health and illness in general, are multi-factorial. The findings, however, also illustrate how the ways in which questions about health and illness are asked shape people's responses. In the survey reported on here people had no problem offering explanations for health inequalities and, in response to a question asking specifically about area differences in health experience, people living in disadvantaged areas 'constructed' explanations which included, but went beyond, individualistic factors to encompass structural explanations that gave prominence to aspects of 'place'. In contrast, within the context of in-depth interviews, people living in disadvantaged areas were reluctant to accept the existence of health inequalities highlighting the moral dilemmas such questions pose for people living in poor material circumstances. While resisting the notion of health inequalities, however, in in-depth interviews the same people provided vivid accounts of the way in which inequalities in material circumstances have an adverse impact upon health. The paper highlights ways in which different methodologies provide different and not necessarily complementary understandings of lay perspectives on the causes of inequalities in health.     

Do standard measures of deprivation reflect health inequalities in older people?

The objective of the study is to examine the relationship between different deprivation indicators and both self-rated health and emergency admission rates of older people to determine which indicators best predict the health of people in this age group. The method employed an ecological study design using data from all 100 neighbourhoods in Sheffield in 2004 and analysing relationships in three age groups 50-64, 65-74 and over 75 years. Analysis was performed using Pearson correlation coefficient. For people aged 50-64 years, receipt of income support was the best predictor of poor self-reported health (R=0.85). For people aged 64-75 years, lack of formal educational qualifications showed the strongest relationship with poor health (R=0.88), although there was still a significantly strong relationship between poor self-rated health and both non-property ownership (R=0.8) and receipt of income support (R=0.7) in this age group. For people aged 75 years and over, lack of formal qualifications showed the strongest relationship (R=0.6, P<0.001). This was reinforced by a strong relationship between this indicator and emergency admission rates. In conclusion, caution should be used when using conventional deprivation/poverty measures to select older populations to be targeted for services. Our analysis has shown that the deprivation indicator that correlates best with the subjective health rating of people aged 75+ is educational qualification.     

Income,occupational position,qualification and health inequalities—competing risks? (Comparing indicators of social status)

STUDY OBJECTIVE: The debate on health inequalities has shifted from the consequences of occupational position, as expressed in the Registrar General's classification, to consequences of material living conditions. This change in interest occurred without comparative analyses of different sources of health inequalities. Thus this study investigated the relative contribution of "material resources" (income), "qualification" and "occupational position" for explaining social differentials in mortality. DESIGN AND SETTING: Analyses were performed with records from a statutory health insurance in West Germany. The analyses were performed with data of 84,814 employed men and women between 25 and 65 years of age who were insured between 1987 and 1995 for at least 150 days. RESULTS: The three indicators were statistically associated, but not strong enough to warrant the conclusion that they share the same empirical content. The relative risk (hazard rate) for income by controlling for occupational position and gender for the highest as compared with the lowest category was 1.99 (95% CI 1.66, 2.39). The corresponding relative risk for income by controlling for qualification and gender was 2.03 (95% CI 1.68, 2.46). In both multivariate analyses, the effects of occupational position and qualification were no longer interpretable because of large confidence intervals. In sum, income related relative mortality risks were the comparably highest, while qualification and occupational position were no longer substantial. CONCLUSIONS: The results emphasise the present discussion on the consequences of material living conditions. Income on the one hand and qualification and occupational position on the other are largely independent. Mortality related effects of income override those of the other socioeconomic status indicators. However, seen in a time perspective, qualification may still have a placement function at least for the first occupational position.     

Trends in income-related health inequalities in self-assessed health in Korea, 1998–2011

This study assesses income-related health inequalities in self-assessed health (SAH) and its trend from 1998 to 2011 in Korea that covers important time periods of financial crisis and post-crisis. Data came from the Korean National Health and Nutrition Examination Survey from 1998 to 2011. A population-representative sample aged 46 years and older was analysed. SAH was used as an indicator of health status, with household equivalence income as a proxy for socio-economic position. Age-adjusted prevalence rates of SAH were analysed to estimate both absolute and relative measures of health inequalities and the trend over time by the relative index of inequality (RII) and the slope index of inequality (SII). Results indicated that the highest level of health inequalities was found among men aged 46–59 years, especially in 2001 and 2005. For men, there was no clear, consistent pattern of increase or decrease in the trend over time. On the other hand, increasing trends in the RII and SII were found for women, except for women aged 46–59 years who reported a decreasing trend in the SII. Trends in health inequalities over time were influenced by economic crisis, demonstrating the need for macro-level economic policies as well as health policies addressing health gaps.     

The health and social well-being of female sex workers’ children in Bangladesh: A qualitative study from Dhaka,Chittagong, and Sylhet

Numerous studies have documented the health problems of sex workers; however, there has been limited research documenting the well-being of children of sex workers. Threats to the health and welfare of these children span their lives. Problems among infants may be more difficult to observe, but field observations by staff at NGOs, who operate drop-in-centers for sex workers in Bangladesh, suggest that older children of sex workers experience significant risks to their health and safety.

This qualitative study explored the threats to the health and welfare of children of sex workers through focus group discussions with sex workers and brothel madams in Bangladesh, all of whom were mothers. Risks to their children were explored from the time of pregnancy through adolescence.

Findings indicate that stigmatization of and discrimination against these children and their mothers are underlying conditions that compromise their access to safe housing, childcare, health care, education, and the protection of law enforcement. The threats they face may exceed those of other children in Bangladesh and include sexual exploitation, exploitive labor, trafficking for adoption, and forced entry into crime. In addition, many children of sex workers have reportedly been traumatized after witnessing police brutality against their mothers. While both sons and daughters of sex workers face similar barriers in altering their life trajectories, gender-specific challenges were also identified.

Additional research documenting trends among children of sex workers and their mothers is needed; however, much can be done immediately to mitigate potential harm by targeting family-based support to these mothers and children to meet basic needs and ensure their basic rights. Our recommendations are to strengthen health, social welfare, and other services to address protection and prevention needs; ensure access to basic services; and provide interventions that address the marginalization resulting from stigma and discrimination.     

Are social inequalities in mortality in Britain narrowing? Time trends from 1978 to 2005 in a population-based study of older men

OBJECTIVE: To examine whether social inequalities in all-cause and coronary heart disease (CHD) mortality in Britain have reduced between 1978 and 2005. DESIGN: A prospective study of a socioeconomically representative population. SETTING: 24 British towns. PARTICIPANTS: 7735 Men, aged 40-59 years at recruitment in 1978-1980 and followed up until 2005 through the National Health Service Central Register (164 120 person-years). MAIN OUTCOME MEASURES: Relative hazards and absolute risk differences for all-cause and CHD death comparing manual with non-manual social classes, calculated for different calendar periods. RESULTS: 3009 Deaths from all causes (1003 from CHD) occurred during follow-up. The overall hazard ratio (manual versus non-manual) was 1.56 (95% CI 1.45 to 1.69, p<0.001) for all-cause mortality and 1.54 (95% CI 1.35 to 1.76, p<0.001) for CHD mortality. The relative difference between these social groups tended to increase over time. The overall relative increase in hazard ratio comparing manual with non-manual groups over a 20-year calendar period was 1.22 (95% CI 0.83 to 1.80, p = 0.31) for all-cause mortality and 1.75 (95% CI 0.89 to 3.45, p = 0.11) for CHD mortality. The absolute difference in probability of survival to age 65 years between non-manual and manual groups fell from 29% in 1981 to 19% in 2001 for all-cause mortality and from 17% to 7% for CHD mortality. CONCLUSION: Relative differences in all-cause and CHD mortality between manual and non-manual social class groups persisted and may have increased during this period. Absolute differences in mortality between these social groups decreased as a result of falling overall mortality rates. Greater effort is needed to reduce social inequalities in all-cause and CHD mortality in the new millennium.     

Does geography explain ethnic inequalities in health in New Zealand?

OBJECTIVE: To quantify the potential contribution of inter-district relative to intradistrict variation to the Maori disparity in life expectancy in 2000-02, by counterfactual modelling. SETTING, DATA SOURCES AND METHODS: The setting was New Zealand's 21 health districts (District Health Boards, DHBs). All data (population estimates and life expectancy estimates) were sourced from Statistics New Zealand and relate to the 2000-02 period. Maori life expectancy (nationally) was recalculated under the counterfactual that Maori life expectancy in each DHB did not differ from total population life expectancy in the corresponding DHB (so eliminating intra-district variation). The difference between the observed total population and counterfactual Maori life expectancies therefore represents the contribution of inter-district variation to the Maori life expectancy disparity. RESULTS: Observed total population and Maori life expectancies at birth in 2000-02, pooling sexes, were 78.7 and 71.1 years respectively, giving a total disparity of 7.6 years. Under the counterfactual, Maori life expectancy increased to 78.4 years (and total population life expectancy to 79.0 years). Inter-district variation was therefore estimated to potentially contribute only 0.6 years or 8% to the total Maori disparity. Allowing for imprecision, inter-district variation almost certainly accounts for less than 10.5% of the total disparity. CONCLUSION: Inter-district or geographic variation makes only a small contribution to the total Maori disparity in life expectancy. Adjustment or standardisation for district is not necessary when comparing Maori and non-Maori health outcomes. If the policy goal is to reduce ethnic inequalities in health, then the focus of policy (e.g. funding formulae) needs to be on factors directly linked to ethnicity, rather than on geographic variations in health and health care that have an impact on all ethnic groups more-or-less alike.