Functional forms of socio-territorial inequities in breast cancer screening - A French cross-sectional study using hierarchical generalised additive models.

To reduce the breast cancer burden, the French National Organised Breast Cancer Screening Programme (FNOBCSP) was implemented in 2004. The recommended participation rate has never been achieved and socio-territorial inequities in participation have been reported on several occasions. We investigated the functional forms and consistency of the relationships between neighbourhood deprivation, travel time to the nearest accredited radiology centre and screening uptake. We used two-level hierarchical generalised additive models in 8 types of territories classified by socio-demographic and economic factors. The first level was 368,201 women aged 50-72 invited to the 2013-2014 screening campaign in metropolitan France. They were nested in 41 départements, the level of organisation of the FNOBCSP. The effect of travel time showed two main patterns: it was either linear (with participation decreasing as travel time increased) or participation first increased with increasing travel time to a peak around 5-15 min and decreased afterward. In nearly all types and départements, the probability of participation decreased linearly with increasing deprivation. Territorial inequities in participation were more context-dependent and complex than social inequities. Inequities in participation represent a loss of opportunity for individuals who already have the worst cancer outcomes. Evidence-based public health policies are needed to increase the effectiveness and equity of breast cancer screening.

School trajectory disruption among adolescents living with perinatal HIV receiving antiretroviral treatments: a case-control study in Thailand.

BACKGROUND: Adolescents living with perinatal HIV often experience difficult living circumstances that can impact educational achievement and thus their transition to adult life. We explored their school trajectories and evaluated the contribution of perinatal HIV-infection, in Thailand, where education is free and compulsory until the age of 15. METHODS: We used data from the Teens Living with Antiretrovirals (TEEWA) study, a cross-sectional case-control study conducted from 2011 to 2014 in Thailand. Participants were 707 adolescents living with perinatal HIV (ALPHIV, cases) aged 12-19 receiving antiretroviral therapy in 19 hospitals throughout Thailand and 689 HIV-uninfected adolescents (controls) living in the same institutions or, for those living in family settings, randomly selected from the general population and individually matched for sex, age, and place of residence. School trajectory disruption was defined as ≥1 year of academic delay or as early school dropout (before 15 years of age). Logistic regression models were used to assess factors independently associated with disrupted school trajectory and to estimate the proportion of school disruption attributable to HIV-infection. We used multivariate imputations by chained equations (MICE) to manage missing data and performed two sensitivity analyses to evaluate the main model's reliability. RESULTS: The study population's median age was 14.5 years (58% female). School trajectory disruption was experienced by 37% of ALPHIV and 12% of the controls. After adjusting for sociodemographic factors, ALPHIV were 5 times more likely to experience disruption than controls (ORA =5.2 [3.7-7.2]). About 50% of school trajectory disruption was attributable to HIV-infection. Males and adolescents living in institutions were more likely to experience school trajectory disruption (ORA =1.8 [1.3-2.4] and ORA =11.0 [7.7-15.8], respectively). Among ALPHIV, neurocognitive difficulties and growth delay were significantly associated with disruption (ORA =3.3 [2.1-5.2] and ORA =1.8 [1.3-2.6], respectively). For those living in families, disruption was also associated with having a caregiver who had less than a secondary-level education (ORA =2.1 [1.1-3.9]) or having experienced stigmatization (ORA =1.9 [1.2-3.1]). CONCLUSIONS: HIV and contextual factors combine to aggravate the educational disadvantage among ALPHIV. The impact of this disadvantage on their life prospects, especially regarding access to higher education and professional achievement, should be further explored.

Area-based social inequalities in adult mortality: construction of French deprivation-specific life tables for the period 2016-2018.

Background: In order to tackle social inequalities in mortality, it is crucial to quantify them. We produced French deprivation-specific life tables for the period 2016-2018 to measure the social gradient in adult all-cause mortality. Methods: Data from the Permanent Demographic Sample (EDP) were used to provide population and death counts by age, sex and deprivation quintile. The European Deprivation Index (EDI), applied at a sub-municipal geographical level, was used as an ecological measure of deprivation. Smoothed mortality rates were calculated using a one-dimensional Poisson counts smoothing method with P-Splines. We calculated life expectancies by age, sex and deprivation quintile as well as interquartile mortality rate ratios (MRR). Results: At the age of 30, the difference in life expectancy between the most and least deprived groups amounted to 3.9 years in males and 2.2 years in females. In terms of relative mortality inequalities, the largest gaps between extreme deprivation groups were around age 55 for males (MRR = 2.22 [2.0; 2.46] at age 55), around age 50 in females (MRR = 1.77 [1.48; 2.1] at age 47), and there was a decrease or disappearance of the gaps in the very older adults. Conclusions: There is a strong social gradient in all-cause mortality in France for males and females. The methodology for building these deprivation-specific life tables is reproducible and could be used to monitor its development. The tables produced should contribute to improving studies on net survival inequalities for specific diseases by taking into account the pre-existing social gradient in all-cause mortality.

Is the Social Gradient in Net Survival Observed in France the Result of Inequalities in Cancer-Specific Mortality or Inequalities in General Mortality?

BACKGROUND: In cancer net survival analyses, if life tables (LT) are not stratified based on socio-demographic characteristics, then the social gradient in mortality in the general population is ignored. Consequently, the social gradient estimated on cancer-related excess mortality might be inaccurate. We aimed to evaluate whether the social gradient in cancer net survival observed in France could be attributable to inaccurate LT. METHODS: Deprivation-specific LT were simulated, applying the social gradient in the background mortality due to external sources to the original French LT. Cancer registries' data from a previous French study were re-analyzed using the simulated LT. Deprivation was assessed according to the European Deprivation Index (EDI). Net survival was estimated by the Pohar-Perme method and flexible excess mortality hazard models by using multidimensional penalized splines. RESULTS: A reduction in net survival among patients living in the most-deprived areas was attenuated with simulated LT, but trends in the social gradient remained, except for prostate cancer, for which the social gradient reversed. Flexible modelling additionally showed a loss of effect of EDI upon the excess mortality hazard of esophagus, bladder and kidney cancers in men and bladder cancer in women using simulated LT. CONCLUSIONS: For most cancers the results were similar using simulated LT. However, inconsistent results, particularly for prostate cancer, highlight the need for deprivation-specific LT in order to produce accurate results.

Can an Ecological Index of Deprivation Be Used at the Country Level? The Case of the French Version of the European Deprivation Index (F-EDI).

Most ecological indices of deprivation are constructed from census data at the national level, which raises questions about the relevance of their use, and their comparability across a country. We aimed to determine whether a national index can account for deprivation regardless of location characteristics. In Metropolitan France, 43,853 residential census block groups (IRIS) were divided into eight area types based on quality of life. We calculated score deprivation for each IRIS using the French version of the European Deprivation Index (F-EDI). We decomposed the score by calculating the contribution of each of its components by area type, and we assessed the impact of removing each component and recalculating the weights on the identification of deprived IRIS. The set of components most contributing to the score changed according to the area type, but the identification of deprived IRIS remained stable regardless of the component removed for recalculating the score. Not all components of the F-EDI are markers of deprivation according to location characteristics, but the multidimensional nature of the index ensures its robustness. Further research is needed to examine the limitations of using these indices depending on the purpose of the study, particularly in relation to the geographical grid used to calculate deprivation scores.