Sébastien Cortaredona

Small-area analysis of social inequalities in residential exposure to road traffic noise in Marseilles, France

BACKGROUND Few studies have focused on the social inequalities associated with environmental noise despite its significant potential health effects. This study analysed the associations between area socio-economic status (SES) and potential residential exposure to road traffic noise at a small-area level in Marseilles, second largest city in France. METHODS We calculated two potential road noise exposure indicators (PNEI) at the census block level (for 24-h and night periods), with the noise propagation prediction model CadnaA. We built a deprivation index from census data to estimate SES at the census block level. Locally estimated scatterplot smoothing diagrams described the associations between this index and PNEIs. Since the extent to which coefficient values vary between standard regression models and spatial methods are sensitive to the specific spatial model, we analysed these associations further with various regression models controlling for spatial autocorrelation and conducted sensitivity analyses with different spatial weight matrices. RESULTS We observed a non-linear relation between the PNEIs and the deprivation index: exposure levels were highest in the intermediate categories. All the spatial models led to a better fit and more or less pronounced reductions of the regression coefficients; the shape of the relations nonetheless remained the same. CONCLUSION Finding the highest noise exposure in midlevel deprivation areas was unexpected, given the general literature on environmental inequalities. It highlights the need to study the diversity of the patterns of environmental inequalities across various economic, social and cultural contexts. Comparative studies of environmental inequalities are needed, between regions and countries, for noise and other pollutants.

The labour market, psychosocial outcomes and health conditions in cancer survivors: protocol for a nationwide longitudinal survey 2 and 5 years after cancer diagnosis (the VICAN survey)

Introduction Today, a growing need exists for greater research into cancer survivorship, focusing on different spheres of the day-to-day life of diagnosed patients. This article describes the design and implementation of VICAN (VIe après le CANcer), a national survey on French cancer survivors. Method and analysis The target population included patients aged 18–82, diagnosed with cancer between January and June 2010, and registered in one of the three main French Health Insurance Schemes. It was restricted to 12 tumour sites. Sampling was stratified using a non-proportional allocation, based on age at diagnosis (18–52 and 53–82) and tumour site. Data were collected from telephone interviews with patients 2 and 5 years after diagnosis, a medical survey completed by the physician who initiated cancer treatment, and information from the national medicoadministrative database on reimbursement data and hospital discharge records. First data collection, 2 years after diagnosis, occurred between March and December 2012. Second data collection, 5 years after diagnosis, will be conducted in 2015. Analyses will be conducted on various outcomes: quality of life, health status and psychosocial conditions, with a particular focus on the impact of cancer diagnosis on the labour market. The variety of measurements included in the survey will enable us to control a wide range of factors. Ethics and dissemination The methodology of the VICAN survey was approved by three national ethics commissions. Results of the study will be disseminated through national and international research conferences, and in articles published in international peer-reviewed journals.

Is exposure to night-time traffic noise a risk factor for purchase of anxiolytic–hypnotic medication? A cohort study

BACKGROUND Studies suggest that road traffic noise increases risks of sleep disturbances, anxiety and depressive symptoms, but few have focused on psychotropic drug use. We examined whether exposure to night-time road traffic noise in Marseilles (France) is associated with an increased risk of purchasing anxiolytic or hypnotic medications. METHODS Cohort of 190,617 inhabitants of Marseilles (aged 18-64 years) covered by the National Health Insurance Fund. We used the CadnaA noise propagation prediction model to calculate a potential road noise exposure indicator at dwellings for the night-period: Ln. Association between the number of purchases of anxiolytics-hypnotics in 2008-9 and the Ln was analysed with a zero-inflated negative binomial (ZINB) model adjusted for characteristics of individuals (sociodemographic, consultations with general practitioners, presence of chronic psychiatric disorder), prescribers (demographic, specialty, workload) and neighbourhoods (medical density, complaints filed for environmental noise). Analyses were stratified by the deprivation level of the census block of residence to control for the confounding effects of neighbourhood socio-economic status. RESULTS The ZINB model showed a small but significant increase in the risk of purchasing higher numbers of anxiolytics-hypnotics for Ln greater than 55 dB(A) only in the low deprivation stratum. CONCLUSION We found some evidence that potential exposure to night-time road traffic noise might affect individual use of anxiolytics-hypnotics. Further research based on strictly individual approaches is warranted to assess exposure to road traffic noise more precisely and reliably than allowed by noise propagation prediction models.

Social inequalities in new antidepressant treatment: a study at the individual and neighborhood levels.

PURPOSE To determine whether social inequalities in new antidepressant treatment exist at the individual and/or neighborhood level; and their relation to access to prescribers and/or processes of care (treatment initiation and duration). METHODS We followed 316,412 inhabitants of Marseilles (aged 18-64 years) covered by the National Health Insurance Fund for 2.5 years. We analyzed new treatments (≥1 purchase of antidepressants and none in the 6 months before the first one), and new long treatments (≥4 within 6 months after the first purchase). We tested their associations with high individual disadvantage and census block deprivation in a multivariate, multilevel logistic model adjusted for consultations with general practitioners and psychiatrists to control for access to care. RESULTS High individual disadvantage was not associated with the probability of new treatments, but it was with lower odds of receiving new long treatments. Residing in deprived census blocks was associated with lower odds of receiving treatment for both dependent variables. CONCLUSIONS Our results suggest that social inequalities at the individual and neighborhood levels in new antidepressant treatment occur in access to specialty care and in treatment initiation and affect its duration. Further research is warranted to improve our understanding of their mechanisms.

Characteristics of patients and physicians correlated with regular influenza vaccination in patients treated for type 2 diabetes: a follow-up study from 2008 to 2011 in southeastern France

We studied a cohort of 110 823 patients treated with oral hypoglycaemic agents for type 2 diabetes in southeastern France from 1 January 2008 to 31 December 2011, to identify influenza vaccination coverage trends and the patient and physician correlates of influenza vaccine (IFV) uptake. We used French national health insurance fund (NHIF) databases to identify these patients and collect data on their IFV reimbursement claims (IFVC) and patient and physician characteristics. We used multilevel multivariate polytomous logistic regressions to test the correlates of IFVC. Between 2008 and 2011 the annual IFVC rate varied from 33.7% to 32.3% in the 18-64 age group and from 69.5% to 61.1% in the 65 + age group, among whom we saw a clear trend towards reduced vaccination after 2008. In the younger group, the probability of regular vaccination each year from 2008 to 2011 increased with diabetes severity and duration, comorbidities, and the number of general practitioner and nurse visits; it was higher among patients seeing endocrinologists and lower among low-income patients than in other patients. In the older group, there was no association with either diabetes severity or physician specialty. These results suggest different patterns of correlates of influenza vaccination according to age. Endocrinologists might help to improve IFV uptake in the younger group of patients with type 2 diabetes. Communication strategies regarding influenza vaccination should be adapted to age, and collaboration between healthcare professionals should be reinforced to achieve vaccination objectives for these patients.

Comparison of pharmacy‐based and diagnosis‐based comorbidity measures from medical administrative data

Health status is sometimes quantified by chronic condition (CC) scores calculated from medical administrative data. We sought to modify two pharmacy‐based comorbidity measures and compare their performance in predicting hospitalization and/or death. The reference was a diagnosis‐based score.

Opioid analgesics prescription in people with and without cancer in France

INTRODUCTION AND OBJECTIVES According to World Health Organization recommendations, opioids prescription is a key aspect of improvement in cancer pain relief. However, studies on opioids prescription in France are scarce. This study aimed principally to investigate the impact of cancer on opioids prescription and then to identify factors associated with this prescription, focusing on patients& characteristics impact. METHODS We matched the following two cohorts: cancer survivors (N = 6,760) and individuals without cancer (N = 6,760). Using French health insurance databases, we compared the prevalence of prescribed opioids in 2009-2015 in people with and without cancer and we applied afterwards conditional Poisson regressions to estimate relative risks for monthly opioids prescription. For cancer survivors only (N = 3,055), multivariate negative binomial regressions were performed to identify factors associated with opioids prescription. RESULTS Cancer was associated with a higher analgesics prescription in the cancer population. While Step II and III opioids prescription decreased over time, the latter remained marginal and tended to stabilize. Older people were most adversely affected by underprescription of opioids, especially Step III opioids. Furthermore, although the matched case/control study suggested that men were prescribed opioids more often than women, multivariate analysis did not support this finding. CONCLUSION The inconsistency between our findings and existing literature regarding both opioids prescription trends and postdiagnosis pain chronicity in cancer survivors over the medium term suggests possible changes in pain perception and the evolution of cancer pain management strategies. Further research should explore these hypotheses and investigate patient characteristics& effect in cancer pain management.

Trajectories of antipsychotic drug use over ten years in a French community-based sample of persons aged 50 and older

OBJECTIVE To identify the temporal prescribing patterns of antipsychotics among persons aged 50 and older and to explore the demographic and clinical characteristics associated with each trajectory of antipsychotic drug use. METHODS This was a historical fixed cohort study on a community-based sample of persons affiliated with the French Insurance Healthcare system. Data from community drug reimbursement claims were collected by the French Insurance Healthcare system over the period 2006-2015. The study included 160,853 persons aged 50 and older. Trajectories of antipsychotic drug use were identified by examining the distribution of antipsychotic use within consecutive 3-month periods over the entire follow-up period. Latent class analyses were used to identify distinct trajectories. Multivariate polynomial logistic regression models were used to explore the characteristics independently associated with trajectories. RESULTS Five trajectories of antipsychotic use were identified: null or very low use (93.8%), occasional use (2%), decreasing use (1.6%), chronic use (1.5%), and increasing use (1.1%). Occasional users were older and had a lower use of other psychotropic drugs and a high use of health resources. Chronic users had the highest frequency of chronic psychiatric diseases and were less likely to present with dementia or Parkinson disease. Persons with increasing use of antipsychotics were more frequently males and had a high frequency of dementia; half of them died over the follow-up period compared with 20% in the total sample. CONCLUSION Further studies should explore whether the benefit-risk ratio of antipsychotic drugs in older adults differs according to trajectories of use.

Effectiveness of seasonal influenza vaccination in patients with diabetes: protocol for a nested case–control study

Introduction Seasonal influenza vaccination (SIV) is recommended for people with diabetes, but its effectiveness has not been demonstrated. All of the available studies are observational and marred with the healthy vaccine bias, that is, bias resulting from the generally better health behaviours practised by people who choose to be vaccinated against influenza, compared with those who do not. This protocol is intended to study the effectiveness of SIV in people with treated diabetes and simultaneously to control for bias. Methods and analyses This case-control study is nested in a historical cohort and is designed to study vaccine effectiveness (VE) assessed by morbidity, mortality and anti-infective drug use. The cohort will comprise a representative sample of health insurance beneficiaries in France and will cover 10 consecutive epidemic seasons. It will include all patients reimbursed three separate times for drugs to treat diabetes. The first study of VE will use reasons for hospitalisation as the primary end point, and the second with the use of neuraminidase inhibitors and of antibiotics as the end points. A case will be defined as any person in the cohort reaching any end point at a given date. The case patient will be matched with the largest possible number of controls (individuals not reaching the end point by this date) according to the propensity score method with an optimal calliper width. A conditional logistic model will be used to estimate ORs to take into account both the matching and the repetition of measurements. The model will be applied separately during and outside of epidemic periods to estimate the residual confounding. Ethics and dissemination The study has been approved by the French Commission on Individual Data Protection and Public Liberties (ref: AT/CPZ/SVT/JB/DP/CR05222O). The studys findings will be published in peer-reviewed journals and disseminated at international conferences and through social media.

The extra cost of comorbidity: multiple illnesses and the economic burden of non-communicable diseases

BackgroundThe literature offers competing estimates of disease costs, with each study having its own data and methods. In 2007, the Dutch Center for Public Health Forecasting of the National Institute for Public Health and the Environment provided guidelines that can be used to set up cost-of-illness (COI) studies, emphasising that most COI analyses have trouble accounting for comorbidity in their cost estimations. When a patient has more than one chronic condition, the conditions may interact such that the patient’s healthcare costs are greater than the sum of the costs for the individual diseases. The main objective of this work was to estimate the costs of 10 non-communicable diseases when their co-occurrence is acknowledged and properly assessed.MethodsThe French Echantillon Généraliste de Bénéficiaires (EGB) database was used to assign all healthcare expenses for a representative sample of the population covered by the National Health Insurance. COIs were estimated in a bottom-up approach, through regressions on individuals’ healthcare expenditure. Two-way interactions between the 10 chronic disease variables were included in the expenditure model to account for possible effect modification in the presence of comorbidity(ies).ResultsThe costs of the 10 selected chronic diseases were substantially higher for individuals with comorbidity, demonstrating the pattern of super-additive costs in cases of diseases interaction. For instance, the cost associated with diabetes for people without comorbidity was estimated at 1776 €, whereas this was 2634 € for people with heart disease as a comorbidity. Overall, we detected 41 cases of super-additivity over 45 possible comorbidities. When simulating a preventive action on diabetes, our results showed that significant monetary savings could be achieved not only for diabetes itself, but also for the chronic diseases frequently associated with diabetes.ConclusionsWhen comorbidity exists and where super-additivity is involved, a given preventive policy leads to greater monetary savings than the costs associated with the single diagnosis, meaning that the returns from the action are generally underestimated.