Commentary: approaches, strengths, and limitations of avoidable mortality.

Publication of recent papers such as the one by Schoenbaum and colleagues entitled 'Mortality Amenable to Health Care in the United States: The Roles of Demographics and Health Systems Performance' has stimulated this commentary. We discuss strengths and limitations of amenable and avoidable mortality in health-care systems' performance and their contribution to health inequalities. To illustrate, we present a case study of avoidable and amenable mortality in Spain over 27 years. We conclude that amenable mortality is not a good indicator of health-care systems' performance, or for determining whether it could give rise to health inequalities. To understand health problems and to assess the impact of interventions affecting health requires good, basic, and routine monitoring of health indicators and of socioeconomic determinants of health.

Socioeconomic inequalities in mortality in 16 European cities.

AIMS: To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. METHODS: A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index of socioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. RESULTS: We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronounced for men than women, and relative inequalities were greater in Eastern and Northern European cities, and lower in some Western (men) and Southern (women) European cities. The pattern of excess number of deaths was slightly different, with greater inequality in some Western and Northern European cities and also in Budapest, and lower among women in Madrid and Barcelona. CONCLUSIONS: In this study, we report a consistent pattern of socioeconomic inequalities in mortality in 16 European cities. Future studies should further explore specific causes of death, in order to determine whether the general pattern observed is consistent for each cause of death.

[Trends in social inequalities in health in Catalonia, Spain]. / Evolución de las desigualdades sociales en salud en Cataluña.

The aim of this work is to analyze the evolution of social class inequalities in men and women in health status, health related behaviours and utilization of health services in Catalonia between 1994 and 2006. This is a study of trends based on the analysis of the Encuesta de Salud de Cataluña. To examine the association between 12 dependent variables and social class in each survey, robust Poisson regression models were fitted. People belonging to manual class showed the worst indicators. Over the period, social class inequalities in health status and health services utilisation tended to remain constant or to decrease (performing breast cancer screening). Conversely, inequalities in smoking increased. In Catalonia there are social class inequalities in health, among men and women, that tend to remain stable over the years.

Socio-economic inequalities in breast and cervical cancer screening practices in Europe: influence of the type of screening program.

BACKGROUND: The aim of this study was to describe inequalities in the use of breast and cervical cancer screening services according to educational level in European countries in 2002, and to determine the influence of the type of screening program on the extent of inequality. METHODS: A cross-sectional study was performed using individual-level data from the WHO World Health Survey (2002) and data regarding the implementation of cancer screening programmes. The study population consisted of women from 22 European countries, aged 25-69 years for cervical cancer screening (n =11 770) and 50-69 years for breast cancer screening (n = 4784). Dependent variables were having had a PAP smear and having had a mammography during the previous 3 years. The main independent variables were socio-economic position (SEP) and the type of screening program in the country. For each country the prevalence of screening was calculated, overall and for each level of education, and indices of relative (RII) and absolute (SII) inequality were computed by educational level. Multilevel logistic regression models were fitted. RESULTS: SEP inequalities in screening were found in countries with opportunistic screening [comparing highest with lowest educational level: RII = 1.28, 95% confidence interval (CI) 1.12-1.48 for cervical cancer; and RII = 3.11, 95% CI 1.78-5.42 for breast cancer] but not in countries with nationwide population-based programmes. Inequalities were also observed in countries with regional screening programs (RII = 1.35, 95% CI 1.10-1.65 for cervical cancer; and RII = 1.58, 95% CI 1.26-1.98 for breast cancer). CONCLUSIONS: Inequalities in the use of cancer screening according to SEP are higher in countries without population-based cancer screening programmes. These results highlight the potential benefits of population-based screening programmes.

Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992-2003.

BACKGROUND: The objective of this study was to assess trends in cancer mortality by educational level in Barcelona from 1992 to 2003. METHODS: The study population comprised Barcelona inhabitants aged 20 years or older. Data on cancer deaths were supplied by the system of information on mortality. Educational level was obtained from the municipal census. Age-standardized rates by educational level were calculated. We also fitted Poisson regression models to estimate the relative index of inequality (RII) and the Slope Index of Inequalities (SII). All were calculated for each sex and period (1992-1994, 1995-1997, 1998-2000, and 2001-2003). RESULTS: Cancer mortality was higher in men and women with lower educational level throughout the study period. Less-schooled men had higher mortality by stomach, mouth and pharynx, oesophagus, larynx and lung cancer. In women, there were educational inequalities for cervix uteri, liver and colon cancer. Inequalities of overall and specific types of cancer mortality remained stable in Barcelona; although a slight reduction was observed for some cancers. CONCLUSION: This study has identified those cancer types presenting the greatest inequalities between men and women in recent years and shown that in Barcelona there is a stable trend in inequalities in the burden of cancer.

Socioeconomic inequalities in mortality in Barcelona: a study based on census tracts (MEDEA Project).

The aim of this study is to describe inequalities in socioeconomic indicators and in mortality by sex in the census tracts of Barcelona city during the period 1996-2003. The results show that there is excess mortality in coastal and northern areas. This distribution is similar to that of socioeconomic deprivation and therefore there is an association between mortality and socioeconomic indicators, not only for total mortality but also for the specific causes of death studied. This type of analysis can be useful for planning of public health policy since it allows small areas with high mortality risk to be detected.