Comparison between total weight loss and other metrics after bariatric surgery using a multilevel mixed-effects linear regression model.

BACKGROUND: Several tools are used to assess postoperative weight loss after bariatric surgery, including the percentage of excess body weight loss (%EWL), percentage of total weight loss (%TWL), and percentage of excess body mass index (BMI) loss (%EBMIL). A repeated series of measurements should be considered to assess weight loss as accurately as possible. This study aimed to test weight loss metrics. METHODS: Data were obtained from a prospective database of patients with obesity who underwent laparoscopic Roux-en-Y gastric bypass (LRYGB) or laparoscopic sleeve gastrectomy (LSG) between 2016 and 2017 in a French tertiary referral bariatric center. A multilevel mixed-effects linear regression model with repeated measures was used to analyze repeated weight measurements over time. RESULTS: A total of 435 patients underwent LRYGB (n = 266) or LSG (n = 169). At 2 years, the average %EWL, %EBMIL, and %TWL were 56.8%, 61.3%, and 26.6%, respectively. Patients who underwent LSG experienced lower weight loss (ß: - 4233 in %TWL model, ß: - 6437 in %EWL model, and ß: - 6989 in %EBMIL model) than those who underwent LRYGB. In multivariate mixed analysis, preoperative BMI was not significantly associated with %TWL at 2 years (ß, - 0.09 [- 0.22-0.03] p = 0.1). Preoperative BMI was negatively associated with both %EWL (ß, - 1.61 [- 1.84-- 1.38] p < 0.0001) and %EBMIL (ß, - 1.91 [- 2.16-- 1.66] p < 0.0001). CONCLUSION: This is the first study to assess %TWL use for postoperative weight measurement, using a multilevel mixed-effects linear regression model %TWL is the measure of choice to assess weight loss following bariatric surgery.

Low socioeconomic status was associated with a higher mortality risk in multiple sclerosis.

BACKGROUND: The relationship between socioeconomic status (SES) and mortality among persons with multiple sclerosis (PwMS) is poorly understood. OBJECTIVE: To investigate the association between SES and mortality risk in PwMS. METHODS: From health-administrative data, we identified 12,126 incident MS cases with a first demyelinating event (MS 'onset') occurring between 1994 and 2017. Cox proportional hazard model assessed the association between socioeconomic status quintiles (SES-Qs) at MS onset and all-cause mortality. RESULTS: Lower SES-Qs were associated with higher mortality risk; adjusted hazard ratios: SES-Q1 (most deprived) =1.61 (95% confidence interval (CI) = 1.36-1.91); SES-Q2 = 1.26 (95% CI = 1.05-1.50); SES-Q3 = 1.22 (95% CI = 1.02-1.46); SES-Q4 = 1.13 (95% CI = 0.94-1.35) versus SES-Q5 (least deprived). CONCLUSION: A lower SES was associated with higher mortality risk in PwMS.

Estimation of the general population and children under five years of age in France exposed to magnetic field from high or very high voltage power line using geographic information system and extrapolated field data.

BACKGROUND: The effects of extremely low-frequency magnetic fields, especially their long-term health effects, including childhood leukaemia, remain elusive. The International Agency for Research on Cancer has classified the exposure to magnetic fields >0.4 µT as 'possibly carcinogenic to humans (group 2 B)' for childhood leukaemia. However, the number of exposed individuals, particularly children, remains poorly documented in international literature. The objective of this study was to estimate the number of individuals living near a high or very high voltage line in France (≥63 kV), among the general population and children under the age of five years. METHODS: The estimate considered different exposure scenarios depending on the line voltage and the distance of the housing from it, and whether the line is overhead or underground. The exposure scenarios were obtained using a multilevel linear model created from a measurement database published by "Réseau de transport d'électricité", the operator of the French electricity transmission network. RESULTS: Between 0.11% (n = 67,893) and 1.01% (n = 647,569) of the French population and between 0.10% (n = 4712) and 1.03% (n = 46,950) of children under five years of age were estimated to be living in an area potentially exposed to a magnetic field, depending on the exposure scenario (>0.4 µT and >0.1 µT, respectively). CONCLUSIONS: By making it possible to estimate the total number of residents, schools, and health institutions near high-voltage power lines, the proposed methodology can help identify potential co-exposures near high-voltage power lines, which are regularly cited as a possible explanation for contradictory results from epidemiological studies.

How do age and social environment affect the dynamics of death hazard and survival in patients with breast or gynecological cancer in France?

Several studies have investigated the association between net survival (NS) and social inequalities in people with cancer, highlighting a varying influence of deprivation depending on the type of cancer studied. However, few of these studies have accounted for the effect of social inequalities over the follow-up period, and/or according to the age of the patients. Thus, using recent and more relevant statistical models, we investigated the effect of social environment on NS in women with breast or gynecological cancer in France. The data were derived from population-based cancer registries, and women diagnosed with breast or gynecological cancer between 2006 and 2009 were included. We used the European deprivation index (EDI), an aggregated index, to define the social environment of the women included. Multidimensional penalized splines were used to model excess mortality hazard. We observed a significant effect of the EDI on NS in women with breast cancer throughout the follow-up period, and especially at 1.5 years of follow-up in women with cervical cancer. Regarding corpus uteri and ovarian cancer patients, the effect of deprivation on NS was less pronounced. These results highlight the impact of social environment on NS in women with breast or gynecological cancer in France thanks to a relevant statistical approach, and identify the follow-up periods during which the social environment may have a particular influence. These findings could help investigate targeted actions for each cancer type, particularly in the most deprived areas, at the time of diagnosis and during follow-up.

Is self-care dialysis associated with social deprivation in a universal health care system? A cohort study with data from the Renal Epidemiology and Information Network Registry.

BACKGROUND: Socioeconomic status is associated with dialysis modality in developed countries. The main objective of this study was to investigate whether social deprivation, estimated by the European Deprivation Index (EDI), was associated with self-care dialysis in France. METHODS: The EDI was calculated for patients who started dialysis in 2017. The event of interest was self-care dialysis 3 months after dialysis initiation [self-care peritoneal dialysis (PD) or satellite haemodialysis (HD)]. A logistic model was used for the statistical analysis, and a counterfactual approach was used for the causal mediation analysis. RESULTS: Among the 9588 patients included, 2894 (30%) were in the most deprived quintile of the EDI. A total of 1402 patients were treated with self-care dialysis. In the multivariable analysis with the EDI in quintiles, there was no association between social deprivation and self-care dialysis. Compared with the other EDI quintiles, patients from Quintile 5 (most deprived quintile) were less likely to be on self-care dialysis (odds ratio 0.81, 95% confidence interval 0.71-0.93). Age, sex, emergency start, cardiovascular disease, chronic respiratory disease, cancer, severe disability, serum albumin and registration on the waiting list were associated with self-care dialysis. The EDI was not associated with self-care dialysis in either the HD or in the PD subgroups. CONCLUSIONS: In France, social deprivation estimated by the EDI is associated with self-care dialysis in end-stage renal disease patients undergoing replacement therapy.

Socioeconomic environment and disparities in cancer survival for 19 solid tumor sites: An analysis of the French Network of Cancer Registries (FRANCIM) data.

Social inequalities are concerning along the cancer continuum. In France, social gradient in health is particularly marked but little is known about social gradient in cancer survival. We aimed to investigate the influence of socioeconomic environment on cancer survival, for all cancers reported in the French Network of Cancer Registries. We analyzed 189,657 solid tumors diagnosed between 2006 and 2009, recorded in 18 registries. The European Deprivation Index (EDI), an ecological index measuring relative poverty in small geographic areas, assessed social environment. The EDI was categorized into quintiles of the national distribution. One- and five-year age-standardized net survival (ASNS) were estimated for each solid tumor site and deprivation quintile, among men and among women. We found that 5-year ASNS was lower among patients living in the most deprived areas compared to those living in the least deprived ones for 14/16 cancers among men and 16/18 cancers among women. The extent of cancer survival disparities according to deprivation varied substantially across the cancer sites. The reduction in ASNS between the least and the most deprived quintile reached 34% for liver cancer among men and 59% for bile duct cancer among women. For pancreas, stomach and esophagus cancer (among men), and ovary and stomach cancer (among women), deprivation gaps were larger at 1-year than 5-year survival. In conclusion, survival was worse in the most deprived areas for almost all cancers. Our results from population-based cancer registries data highlight the need for implementing actions to reduce social inequalities in cancer survival in France.

Cost-Effectiveness Analysis of a Mobile Mammography Unit for Breast Cancer Screening to Reduce Geographic and Social Health Inequalities.

BACKGROUND: Breast cancer is the leading cancer in terms of incidence and mortality among women in France. Effective organized screening does exist, however, the participation rate is low, and negatively associated with a low socioeconomic status and remoteness. OBJECTIVES: To determine the cost-effectiveness of a mobile mammography (MM) program to increase participation in breast cancer screening and reduce geographic and social inequalities. METHODS: A cost-effectiveness analysis from retrospective data was conducted from the payer perspective, comparing an invitation to a mobile mammography unit (MMU) or to a radiologist's office (MM or RO group) with an invitation to a radiologist's office only (RO group) (n = 37 461). Medical and nonmedical direct costs were estimated. Outcome was screening participation. The mean incremental cost and effect, the incremental cost-effectiveness ratio, and the cost-effectiveness acceptability curve were estimated. RESULTS: The mean incremental cost for invitation to MM or RO was estimated to be €23.21 (95% CI, 22.64-23.78) compared with RO only, and with a point of participation gain of 3.8% (95% CI, 2.8-4.8), resulting in an incremental cost per additional screen of €610.69 (95% CI, 492.11-821.01). The gain of participation was more important in women living in deprived areas and for distances exceeding 15 km from an RO. CONCLUSION: Screening involving a MMU can increase participation in breast cancer screening and reduce geographic and social inequalities while being more cost-effective in remote areas and in deprived areas. Because of the retrospective design, further research is needed to provide more evidence of the effectiveness and cost-effectiveness of using a MMU for organized breast cancer screening and to determine the optimal conditions for implementing it.

Impact of socioeconomic status on survival in patients with ovarian cancer.

OBJECTIVE: Socioeconomic status may impact survival in cancer patients. This study assessed whether low socioeconomic status has an impact on survival in patients with ovarian cancer and investigated whether differences in survival may be explained by type of therapy received. METHODS: The study population comprised 318 patients with ovarian cancer diagnosed between 2011 and 2015 in the François Baclesse regional cancer care center in Caen, North-West France. Socioeconomic status was assessed by using the European deprivation index and overall survival was calculated at 3 years. RESULTS: The unadjusted 3-year overall survival rate was 52% (95% CI 47 to 58). In a multivariable logistic regression model, a low socioeconomic status was associated with a lower probability of surgical resection (OR 0.34, 95% CI 0.16 to 0.74). A high socioeconomic status was associated with improved survival, adjusted for age, performance status, grade, and International Federation of Gynecology and Obstetrics (FIGO) stage (adjusted HR 1.53, 95% CI 1.04 to 2.26). When adjusting for treatment variables, there was no longer any significant difference in survival according to socioeconomic status (adjusted HR 1.24, 95% CI 0.83 to 1.84). CONCLUSIONS: Higher socioeconomic status is associated with a greater probability of undergoing surgical resection and with improved survival in patients with ovarian cancer.

Cost-Effectiveness Analysis of a Navigation Program for Colorectal Cancer Screening to Reduce Social Health Inequalities: A French Cluster Randomized Controlled Trial.

BACKGROUND: Patient navigation programs to increase colorectal cancer (CRC) screening adherence have become widespread in recent years, especially among deprived populations. OBJECTIVES: To evaluate the cost-effectiveness of the first patient navigation program in France. METHODS: A total of 16,250 participants were randomized to either the usual screening group (n = 8145) or the navigation group (n = 8105). Navigation consisted of personalized support provided by social workers. A cost-effectiveness analysis of navigation versus usual screening was conducted from the payer perspective in the Picardy region of northern France. We considered nonmedical direct costs in the analysis. RESULTS: Navigation was associated with a significant increase of 3.3% (24.4% vs. 21.1%; P = 0.003) in participation. The increase in participation was higher among affluent participants (+4.1%; P = 0.01) than among deprived ones (+2.6%; P = 0.07). The cost per additional individual screened by navigation compared with usual screening (incremental cost-effectiveness ratio) was €1212 globally and €1527 among deprived participants. Results were sensitive to navigator wages and to the intervention effectiveness whose variations had the greatest impact on the incremental cost-effectiveness ratio. CONCLUSIONS: Patient navigation aiming at increasing CRC screening participation is more efficient among affluent individuals. Nevertheless, when the intervention is implemented for the entire population, social inequalities in CRC screening adherence increase. To reduce social inequalities, patient navigation should therefore be restricted to deprived populations, despite not being the most cost-effective strategy, and accepted to bear a higher extra cost per additional individual screened.

Survival of patients with cancer starting chronic dialysis: Data from kidney and cancer registries in lower Normandy.

AIM: Cancer and chronic kidney disease are known to be associated. The way in which a history of cancer can influence outcome in dialysis is not well described. This work aimed to evaluate survival of cancer patients starting chronic dialysis after their diagnosis of cancer. METHODS: We merged data from cancer registries and a dialysis registry, and explored patients' charts. RESULTS: Between January 2001 and December 2008, 74 patients with incident cancer in the two-counties-study-area (Calvados and Manche) started chronic dialysis after their diagnosis of cancer. Survival of these incident dialysis patients with a previous diagnosis of cancer was respectively 80.9% (confidence interval 69.9; 88.2) and 68.3% (confidence interval 56.3%; 77.7%) at 1 and 2 years. Only 29 of the 74 patients (39.2%) were still alive at the end of the observation period; median participation time was 2.8 years (1st and 3rd quartiles: 1.3-4.4). Survival of patients with cancer was not different to that of non-cancer dialysis patients matched for age and sex, except in patients with haematological malignancies who had a poorer outcome. In a multivariate stratified Cox model, the history of cancer before dialysis start was not associated with death, after adjustment on diabetes. CONCLUSION: In our study, survival in dialysis was not different among patients with a history of cancer compared to matched patients without malignancy. We can hypothesize that only some selected patients with cancer have access to dialysis. Studies in ESRD patients with cancer should be performed to evaluate access to dialysis in that population.

Factors related to the relative survival of patients with diffuse large B-cell lymphoma in a population-based study in France: does socio-economic status have a role?

The survival of patients with diffuse large B-cell lymphoma has increased during the last decade as a result of addition of anti-CD20 to anthracycline-based chemotherapy. Although the trend is encouraging, there are persistent differences in survival within and between the USA and European countries suggesting that non-biological factors play a role. Our aim was to investigate the influence of such factors on relative survival of patients with diffuse large B-cell lymphoma. We conducted a retrospective, multicenter, registry-based study in France on 1165 incident cases of diffuse large B-cell lymphoma between 2002 and 2008. Relative survival analyses were performed and missing data were controlled with the multiple imputation method. In a multivariate analysis, adjusted for age, sex and International Prognostic Index, we confirmed that time period was associated with a better 5-year relative survival. The registry area, the medical specialty of the care department (onco-hematology versus other), the time to travel to the nearest teaching hospital, the place of treatment (teaching versus not-teaching hospital -borderline significance), a comorbidity burden and marital status were independently associated with the 5-year relative survival. Adjusted for first-course treatment, inclusion in a clinical trial and treatment discussion in a multidisciplinary meeting were strongly associated with a better survival outcome. In contrast, socio-economic status (determined using the European Deprivation Index) was not associated with outcome. Despite therapeutic advances, various non-biological factors affected the relative survival of patients with diffuse large B-cell lymphoma. The notion of lymphoma-specific expertise seems to be essential to achieve optimal care management and reopens the debate regarding centralization of these patients' care in hematology/oncology departments.

Could mobile mammography reduce social and geographic inequalities in breast cancer screening participation?

Evaluation of mobile mammography for reducing social and geographic inequalities in breast cancer screening participation. We examined the responses to first invitations to undergo breast cancer screening from 2003 to 2012 in Orne, a French department. Half of the participants could choose between screening in a radiologist's office or a mobile mammography (MM) unit. We calculated the participation rate and individual participation model according to age group, deprivation quintile and distance. Among participants receiving an MM invitation, the preference was for MM. This was especially the case in the age group >70years and increased with deprivation quintile and remoteness. There were no significant participation trends with regard to deprivation or remoteness. In the general population, the influence of deprivation and remoteness was markedly diminished. After adjustment, MM invitation was associated with a significant increase in individual participation (odds ratio=2.9). MM can target underserved and remote communities, allowing greater participation and decreasing social and geographic inequalities in the general population. Proportionate universalism is an effective principle for public health policy in reducing health inequalities.

Patient navigation to reduce social inequalities in colorectal cancer screening participation: A cluster randomized controlled trial.

Despite free colorectal cancer screening in France, participation remains low and low socioeconomic status is associated with a low participation. Our aim was to assess the effect of a screening navigation program on participation and the reduction in social inequalities in a national-level organized mass screening program for colorectal cancer by fecal-occult blood test (FOBT). A multicenter (3 French departments) cluster randomized controlled trial was conducted over two years. The cluster was a small geographical unit stratified according to a deprivation index and the place of residence. A total of 14,556 subjects (72 clusters) were included in the control arm where the FOBT program involved the usual postal reminders, and 14,373 subjects (66 clusters) were included in the intervention arm. Intervention concerned only non-attended subjects with a phone number available defined as the navigable population. A screening navigator was added to the usual screening organization to identify and eliminate barriers to CRC screening with personalized contact. The participation rate by strata increased in the intervention arm. The increase was greater in affluent strata than in deprived ones. Multivariate analyses demonstrated that the intervention mainly with phone navigation increased individual participation (OR=1.19 [1.10, 1.29]) in the navigable population. For such interventions to reduce social inequalities in a country with a national level organized mass screening program, they should first be administered to deprived populations, in accordance with the principle of proportionate universalism. ClinicalTrials.gov Identifier: NCT01555450.

Assessment of the ecological bias of seven aggregate social deprivation indices.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: The study inventoried the aggregate indices available in France and evaluated their assessment of individual SES.

Pancreatic cancer: Wait times from presentation to treatment and survival in a population-based study.

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.

Health professionals and the early detection of head and neck cancers: a population-based study in a high incidence area.

BACKGROUND: In the context of early detection of head and neck cancers (HNC), the aim of this study was to describe how people sought medical consultation during the year prior to diagnosis and the impact on the stage of the cancer. METHODS: Patients over 20 years old with a diagnosis of HNC in 2010 were included from four French cancer registries. The medical data were matched with data regarding uptake of healthcare issued from French National Health Insurance General Regime. RESULTS: In 86.0 % of cases, patients had consulted a general practitioner (GP) and 21.1 % a dentist. Consulting a GP at least once during the year preceding diagnosis was unrelated to Charlson index, age, sex, département, quintile of deprivation of place of residence. Patients from the 'quite privileged', 'quite underprivileged' and 'underprivileged' quintiles consulted a dentist more frequently than those from the 'very underprivileged' quintile (p = 0.007). The stage was less advanced for patients who had consulted a GP (OR = 0.42 [0.18-0.99]) - with a dose-response effect. CONCLUSIONS: In view of the frequency of consultations, the existence of a significant association between consultations and a localised stage at diagnosis and the absence of a socio-economic association, early detection of HNC by GPs would seem to be the most appropriate way.

A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non-linear and non-proportional effects of covariates.

The excess hazard regression model is an approach developed for the analysis of cancer registry data to estimate net survival, that is, the survival of cancer patients that would be observed if cancer was the only cause of death. Cancer registry data typically possess a hierarchical structure: individuals from the same geographical unit share common characteristics such as proximity to a large hospital that may influence access to and quality of health care, so that their survival times might be correlated. As a consequence, correct statistical inference regarding the estimation of net survival and the effect of covariates should take this hierarchical structure into account. It becomes particularly important as many studies in cancer epidemiology aim at studying the effect on the excess mortality hazard of variables, such as deprivation indexes, often available only at the ecological level rather than at the individual level. We developed here an approach to fit a flexible excess hazard model including a random effect to describe the unobserved heterogeneity existing between different clusters of individuals, and with the possibility to estimate non-linear and time-dependent effects of covariates. We demonstrated the overall good performance of the proposed approach in a simulation study that assessed the impact on parameter estimates of the number of clusters, their size and their level of unbalance. We then used this multilevel model to describe the effect of a deprivation index defined at the geographical level on the excess mortality hazard of patients diagnosed with cancer of the oral cavity. Copyright © 2016 John Wiley & Sons, Ltd.

What are the real waiting times for therapeutic management of head and neck cancer: a study in the general population in the north-west of France.

Head and neck cancers (HNC) have a poor prognosis and a long treatment delay may have a negative impact on this. Some studies have investigated the determinants of this delay but not in the general population and rarely taking into account socio-economic factors. A high-resolution population-based study about cancer management was conducted, using registries in the north-west of France, on HNC diagnosed between 2008 and 2010. The median time between diagnosis and multidisciplinary team meeting (DMI) (N = 1631) was 14 days (Q1: 7 to Q3: 26). The median time between diagnosis and first treatment (DTI) (N = 1519) was 35 days (Q1: 21 to Q3: 54). When the first treatment was radiotherapy, the interval was 54.5 days (Q1: 40 to Q3: 71). In multivariate analysis, DTI was associated with the type of first treatment and place of treatment. For advanced stage HNC, DTI was associated with comorbidities, topography of the cancer and socio-economic status, underprivileged patients being treated later than privileged ones. Given the French governmental cancer plans which set out to coordinate care pathways via nursing coordinators and to improve the availability of radiotherapy, the waiting times observed in this study still seem long. The optimal care pathway should include adapted social management but the DTI was still longer for underprivileged patients.

Socioeconomic environment and cancer incidence: a French population-based study in Normandy.

BACKGROUND: The struggle against social inequalities is a priority for many international organizations. The objective of the study was to quantify the cancer burden related to social deprivation by identifying the cancer sites linked to socioeconomic status and measuring the proportion of cases associated with social deprivation. METHODS: The study population comprised 68 967 cases of cancer diagnosed between 1997 and 2009 in Normandy and collected by the local registries. The social environment was assessed at an aggregated level using the European Deprivation Index (EDI). The association between incidence and socioeconomic status was assessed by a Bayesian Poisson model and the excess of cases was calculated with the Population Attributable Fraction (PAF). RESULTS: For lung, lips-mouth-pharynx and unknown primary sites, a higher incidence in deprived was observed for both sexes. The same trend was observed in males for bladder, liver, esophagus, larynx, central nervous system and gall-bladder and in females for cervix uteri. The largest part of the incidence associated with deprivation was found for cancer of gall-bladder (30.1%), lips-mouth-pharynx (26.0%), larynx (23.2%) and esophagus (19.6%) in males and for unknown primary sites (18.0%) and lips-mouth-pharynx (12.7%) in females. For prostate cancer and melanoma in males, the sites where incidence increased with affluence, the part associated with affluence was respectively 9.6% and 14.0%. CONCLUSIONS: Beyond identifying cancer sites the most associated with social deprivation, this kind of study points to health care policies that could be undertaken to reduce social inequalities.

Spatial Accessibility to Primary Care in Metropolitan France: Results Using the SCALE Spatial Accessibility Index for All Regions.

Accessibility to care is a major public health issue. Various tools to assess it are available, but they do not solve the problem of scale. Moreover, accessibility is a multidimensional concept that is not taken into account with current tools. The SCALE index aims to overcome these two limitations by proposing a synthetic measure on a more precise scale than the administrative unit or the sub-municipal scale. Under the assumption of access to care facilities for all and access to the nearest facilities, the potential accessibility distance was calculated for each couple (residential area, accessible facilities). This was defined as the average distance by road that the population has to travel to access care. To take the availability of resources into account, these distances were weighted by the theoretical pressure on the facilities. The SCALE index was then calculated using a linear combination of the distances of potential accessibility to care facilities It highlights differences in accessibility at the national and regional scale. Using this index, it was possible to provide maps for all French regions and the major cities in a story-map. The major conurbation around Paris and the main urban centers has high accessibility. Low accessibility forms a "Y" shape. In conclusion, the SCALE index measures accessibility at the scale of a small geographic unit taking the proximity and the availability of health professionals into account. It is also possible to take into account the diversity of accessibility in a given territory.