Background Studying social disparities in health implies the ability to measure them accurately, to compare them between different areas or countries and to follow trends over time. This study proposes a method for constructing a French European deprivation index, which will be replicable in several European countries and is related to an individual deprivation indicator constructed from a European survey specifically designed to study deprivation. Methods and Results Using individual data from the European Union Statistics on Income and Living Conditions survey, goods/services indicated by individuals as being fundamental needs, the lack of which reflect deprivation, were selected. From this definition, which is specific to a cultural context, an individual deprivation indicator was constructed by selecting fundamental needs associated both with objective and subjective poverty. Next, the authors selected among variables available both in the European Union Statistics on Income and Living Conditions survey and French national census those best reflecting individual experience of deprivation using multivariate logistic regression. An ecological measure of deprivation was provided for all the smallest French geographical units. Preliminary validation showed a higher association between the French European Deprivation Index (EDI) score and both income and education than the Townsend index, partly ensuring its ability to measure individual socioeconomic status. Conclusion This index, which is specific to a particular cultural and social policy context, could be replicated in 25 other European countries, thereby allowing European comparisons. EDI could also be reproducible over time. EDI could prove to be a relevant tool in evidence-based policy-making for measuring and reducing social disparities in health issues and even outside the medical domain.

Background Despite a concerted policy effort in Europe, social inequalities in health are a persistent problem. Developing a standardised measure of socioeconomic level across Europe will improve the understanding of the underlying mechanisms and causes of inequalities. This will facilitate developing, implementing and assessing new and more effective policies, and will improve the comparability and reproducibility of health inequality studies among countries. This paper presents the extension of the European Deprivation Index (EDI), a standardised measure first developed in France, to four other European countries—Italy, Portugal, Spain and England, using available 2001 and 1999 national census data. Methods and results The method previously tested and validated to construct the French EDI was used: first, an individual indicator for relative deprivation was constructed, defined by the minimal number of unmet fundamental needs associated with both objective (income) poverty and subjective poverty. Second, variables available at both individual (European survey) and aggregate (census) levels were identified. Third, an ecological deprivation index was constructed by selecting the set of weighted variables from the second step that best correlated with the individual deprivation indicator. Conclusions For each country, the EDI is a weighted combination of aggregated variables from the national census that are most highly correlated with a country-specific individual deprivation indicator. This tool will improve both the historical and international comparability of studies, our understanding of the mechanisms underlying social inequalities in health and implementation of intervention to tackle social inequalities in health.

Background Compliance in cancer screening among socially disadvantaged persons is known to be lower than among more socially advantaged persons. However, most of the studies regarding compliance proceed via a questionnaire and are thus limited by self-reported measures of participation and by participation bias. This study aimed at investigating the influence of socioeconomic characteristics on compliance to an organised colorectal cancer screening programme on an unbiased sample based on data from the entire target population within a French geographical department, Calvados (n=180 045). Methods Individual data of participation and aggregate socioeconomic data, from the structure responsible for organising screening and the French census, respectively, were analysed simultaneously by a multilevel model. Results Uptake was significantly higher in women than in men (OR=1.33; 95% CI 1.21 to 1.45), and significantly lower in the youngest (50–59 years) and in the oldest (70–74 years) persons, compared with intermediate ages (60–69 years), with OR=0.70 (95% CI 0.63 to 0.77) and OR=0.82 (95% CI 0.72 to 0.93), respectively. Uptake fell with increasing level of deprivation. There was a significant difference of uptake probability between the least deprived and the most deprived areas (OR=0.68; 95% CI 0.59 to 0.79). No significant influence of the general practitioners density was found. Conclusion Multilevel analysis allowed to detect areas of weak uptake linked to areas of strong deprivation. These results suggest that targeting populations with a risk of low compliance, as identified both socially and geographically in our study, could be adopted to minimise inequalities in screening.

In aggregate studies, ecological indices are used to study the influence of socioeconomic status on health. Their main limitation is ecological bias. This study assesses the misclassification of individual socioeconomic status in seven ecological indices. Individual socioeconomic data for a random sample of 10,000 persons came from periodic health examinations conducted in 2006 in 11 French departments. Geographical data came from the 2007 census at the lowest geographical level available in France. The Receiver Operating Characteristics (ROC) curves, the areas under the curves (AUC) for each individual variable, and the distribution of deprived and non-deprived persons in quintiles of each aggregate score were analyzed. The aggregate indices studied are quite good “proxies” for individual deprivation (AUC close to 0.7), and they have similar performance. The indices are more efficient at measuring individual income than education or occupational category and are suitable for measuring of deprivation but not affluence. The study inventoried the aggregate indices available in France and evaluated their assessment of individual SES.

The aim of this study was to identify and compare cancer sites whose incidence is influenced by social deprivation. The study population comprised 189 144 cases of cancer diagnosed between 2006 and 2009, recorded in member registries of the French Network of Cancer Registries. Social environment was assessed at an aggregate level using the European Deprivation Index. The association between incidence and socioeconomic status was assessed by a geographical Bayesian Poisson model enabling a reduction of the overall variability and smoothing of the relative risks by sharing information provided by multiple geographic units. For cancers of the stomach, liver, lips–mouth–pharynx, and lung, a higher incidence in deprived populations was found for both sexes as well as for cancers of the larynx, esophagus, pancreas, and bladder in men and cervical cancer in women. For melanoma, prostate, testis, ovarian, and breast cancer, a higher incidence was observed in affluent populations. The highest relative risks of the lowest social class compared with the highest social class were found for larynx [relative risk (RR)=1.67 (1.43–1.95)], lips–mouth–pharynx [RR=1.89 (1.72–2.07)], and lung cancer [RR=1.59 (1.50–1.68)] in men and for cervix [RR=1.62 (1.40–1.88)] and lips–mouth–pharynx [RR=1.56 (1.30–1.86)] cancer in women. By estimating the burden of social deprivation on cancer incidence throughout France, this study enables us to measure the gains that could be achieved by implementing targeted prevention efforts.

Pancreatic survival is one of the worst in oncology. To what extent wait times affect outcomes in unknown No population‐based study has previously explored patient and treatment delays among individuals with pancreatic cancer. The aim of this study was to estimate patient and treatment delays in patients with pancreatic cancer and to measure their association with survival in a nonselected population. All patients diagnosed with pancreatic cancer for the first time between 2009 and 2011 and registered in two French digestive cancer registries were included. Patient delay (time from onset of symptoms until the first consultation categorized into <1 or ≥1 month), and treatment delay (time between the first consultation and treatment categorized into less or more than 29 days, the median time) were collected. Overall delay was used to test associations between survival and the timeliness of care by combining patient delay and treatment delay. Patient delay was longer than 1 month in 46% of patients. A patient delay longer than one month was associated with the absence of jaundice (p < 0.001) and the presence of metastasis (p = 0.003). After adjusting for other covariates, such as symptoms and treatment, the presence of metastasis was negatively associated with treatment delay longer than 29 days (p = 0.025). After adjustment for other covariates, especially metastatic dissemination and the result of the resection, overall delay was not significantly associated with prognosis. We found little evidence to suggest that timely care was associated with the survival of patients.