Compared Performance of the 2023 Duke-International Society for Cardiovascular Infectious Diseases, 2000 Modified Duke, and 2015 European Society of Cardiology Criteria for the Diagnosis of Infective Endocarditis in a French Multicenter Prospective Cohort.

BACKGROUND: The 2023 Duke-International Society for Cardiovascular Diseases (ISCVID) criteria for infective endocarditis (IE) were proposed as an updated diagnostic classification of IE. Using an open prospective multicenter cohort of patients treated for IE, we compared the performance of these new criteria to that of the 2000 Modified Duke and 2015 European Society of Cardiology (ESC) criteria. METHODS: Cases of patients treated for IE between January 2017 and October 2022 were adjudicated as certain IE or not. Each case was also categorized as either definite or possible/rejected within each classification. Sensitivity, specificity, and accuracy were estimated with 95% confidence intervals. RESULTS: Of the 1194 patients analyzed (mean age, 66.1 years; 71.2% males), 414 (34.7%) had a prosthetic valve and 284 (23.8%) had a cardiac implanted electronic device (CIED); 946 (79.2%) were adjudicated as certain IE; 978 (81.9%), 997 (83.5%), and 1057 (88.5%) were classified as definite IE in the 2000 modified Duke, 2015 ESC, and 2023 Duke-ISCVID criteria, respectively. The sensitivity of each set of criteria was 93.2% (95% confidence interval [CI], 91.6-94.8), 95.0% (95% CI, 93.7-96.4), and 97.6% (95% CI, 96.6-98.6), respectively (P < .001 for all 2-by-2 comparisons). Corresponding specificity rates were 61.3% (95% CI, 55.2-67.4), 60.5% (95% CI, 54.4-66.6), and 46.0% (95% CI, 39.8-52.2), respectively. In patients without CIED, sensitivity rates were 94.8% (95% CI, 93.2-96.4), 96.5% (95% CI, 95.1-97.8), and 97.7% (95% CI, 96.6-98.8); specificity rates were 59.0% (95% CI, 51.6-66.3), 56.6% (95% CI, 49.3-64.0), and 53.8% (95% CI, 46.3-61.2), respectively. CONCLUSIONS: Overall, the 2023 Duke-ISCVID criteria had a significantly higher sensitivity but a significantly lower specificity compared with older criteria. This decreased specificity was mainly attributable to patients with CIED.

Streaming constrained binary logistic regression with online standardized data.

Online learning is a method for analyzing very large datasets ('big data') as well as data streams. In this article, we consider the case of constrained binary logistic regression and show the interest of using processes with an online standardization of the data, in particular to avoid numerical explosions or to allow the use of shrinkage methods. We prove the almost sure convergence of such a process and propose using a piecewise constant step-size such that the latter does not decrease too quickly and does not reduce the speed of convergence. We compare twenty-four stochastic approximation processes with raw or online standardized data on five real or simulated data sets. Results show that, unlike processes with raw data, processes with online standardized data can prevent numerical explosions and yield the best results.

What matters to patients? A mixed method study of the importance and consideration of oncology patient demands.

BACKGROUND: A patient-centred approach is increasingly the mandate for healthcare delivery, especially with the growing emergence of chronic conditions. A relevant but often overlooked obstacle to delivering person-centred care is the identification and consideration of all demands based on individual experience, not only disease-based requirements. Mindful of this approach, there is a need to explore how patient demands are expressed and considered in healthcare delivery systems. This study aims to: (i) understand how different types of demands expressed by patients are taken into account in the current delivery systems operated by Health Care Organisations (HCOs); (ii) explore the often overlooked content of specific non-clinical demands (i.e. demands related to interactions between disease treatments and everyday life). METHOD: We adopted a mixed method in two cancer centres, representing exemplary cases of organisational transformation: (i) circulation of a questionnaire to assess the importance that breast cancer patients attach to every clinical (C) and non-clinical (NC) demand identified in an exploratory inquiry, and the extent to which each demand has been taken into account based on individual experiences; (ii) a qualitative analysis based on semi-structured interviews exploring the content of specific NC demands. RESULTS: Further to the way in which the questionnaires were answered (573 answers/680 questionnaires printed) and the semi-structured interviews (36) with cancer patients, results show that NC demands are deemed by patients to be almost as important as C demands (C = 6.53/7 VS. NC = 6.13), but are perceived to be considered to a lesser extent in terms of pathway management (NC = 4.02 VS C = 5.65), with a significant variation depending on the type of non-clinical demands expressed. Five types of NC demands can be identified: demands relating to daily life, alternative medicine, structure of the treatment pathway, administrative and logistic assistance and demands relating to new technologies. CONCLUSIONS: This study shows that HCOs should be able to consider non-clinical demands in addition to those referring to clinical needs. These demands require revision of the healthcare professionals' mandate and transition from a supply-orientated system towards a demand-driven approach throughout the care pathway. Other sectors have developed hospitality management, mass customisation and personalisation to scale up approaches that could serve as inspiring examples.

How to Design a Remote Patient Monitoring System? A French Case Study.

BACKGROUND: Remote Patient Monitoring Systems (RPMS) based on e-health, Nurse Navigators (NNs) and patient engagement can improve patient follow-up and have a positive impact on quality of care (by limiting adverse events) and costs (by reducing readmissions). However, the extent of this impact depends on effective implementation which is often restricted. This is partly due to the lack of attention paid to the RPMS design phase prior to implementation. The content of the RPMS can be carefully designed at this stage and various obstacles anticipated. Our aim was to report on an RPMS design case to provide insights into the methodology required in order to manage this phase. METHODS: This study was carried out at Gustave Roussy, a comprehensive cancer centre, in France. A multidisciplinary team coordinated the CAPRI RPMS design process (2013-2015) that later produced positive outcomes. Data were collected during eight studies conducted according to the Medical Research Council (MRC) framework. This project was approved by the French National Data Protection Authorities. RESULTS: Based on the study results, the multidisciplinary team defined strategies for resolving obstacles prior to the implementation of CAPRI. Consequently, the final CAPRI design includes a web app with two interfaces (patient and health care professionals) and two NNs. The NNs provide regular follow-up via telephone or email to manage patients' symptoms and toxicity, treatment compliance and care packages. Patients contact the NNs via a secure messaging system. Eighty clinical decision support tools enable NNs to prioritise and decide on the course of action to be taken. CONCLUSION: In our experience, the RPMS design process and, more generally, that of any complex intervention programme, is an important phase that requires a sound methodological basis. This study is also consistent with the notion that an RPMS is more than a technological innovation. This is indeed an organizational innovation, and principles identified during the design phase can help in the effective use of a RPMS (e.g. locating NNs if possible within the care organization; recruiting NNs with clinical and managerial skills; defining algorithms for clinical decision support tools for assessment, but also for patient decision and orientation).

Does size matter? The impact of caseload and expertise concentration on AMI 30-day mortality-A comparison across 10 OECD countries.

OBJECTIVE: To examine the variability of hospital performance within and across countries, using 30-day acute myocardial infarction (AMI) mortality, and to study the impact of hospital characteristics on performance. STUDY SETTING: Hospital-level adjusted risk standardized mortality rates (RSMR) and hospital characteristics were collected from 10 OECD and two collaborating countries including 1,163 hospitals. STUDY DESIGN: Associations between RSMR and hospital characteristics were studied using univariate and multivariate linear regressions. Clusters of hospitals were created using hierarchical clustering and mortality compared using linear regression. FINDINGS: Wide variation between countries was found for RSMR and hospital characteristics. Regression models showed large country effects. A high volume of AMI admission was associated with lower RSMR in a model using a restricted number of hospital characteristics (-0.83, p < 0.001) but not in a model using all characteristics (-1.03, p = 0.06). Analysis within countries supported this association. Hospital clusters showed clear differences in characteristic distributions but no difference in RSMR. CONCLUSIONS: The effect of volume may support policies toward a concentration of services within the hospital sector. The effect of other hospital characteristics was inconclusive and suggests the importance of system-wide characteristics or pathways of care (i.e. timeliness and nature of initial response and during transportation to a hospital, transfers between hospitals, post-discharge organization) in explaining variation.

Evaluation of the effects of the French pay-for-performance program-IFAQ pilot study.

OBJECTIVE: Most studies showed no or little effect of pay-for-performance (P4P) programs on different outcomes. In France, the P4P program IFAQ was generalized to all acute care hospitals in 2016. A pilot study was launched in 2012 to design, implement and assess this program. This article aims to assess the immediate impact of the 2012-14 pilot study. DESIGN AND SETTING: From nine process quality indicators (QIs), an aggregated score was constructed as the weighted average, taking into account both achievement and improvement. Among 426 eligible volunteer hospitals, 222 were selected to participate. Eligibility depended on documentation of QIs and results of hospital accreditation. Hospitals with scores above the median received a financial reward based on their ranking and budget. Several characteristics known to have an influence on P4P results (patient age, socioeconomic status, hospital activity, casemix and location) were used to adjust the models. INTERVENTION: To assess the effect of the program, comparison between the 185 eligible selected hospitals and the 192 eligible not selected volunteers were done using the difference-in-differences method. RESULTS: Whereas all hospitals improved from 2012 to 2014, the difference-in-differences effect was positive but not significant both in the crude (2.89, P = 0.29) and adjusted models (4.07, P = 0.12). CONCLUSION: These results could be explained by several reasons: low level of financial incentives, unattainable goals, too short study period. However, the lack of impact for the first year should not undermine the implementation of other P4P programs. Indeed, the pilot study helped to improve the final model used for generalization.

Impacts of a navigation program based on health information technology for patients receiving oral anticancer therapy: the CAPRI randomized controlled trial.

BACKGROUND: The emergence of oral delivery in cancer therapeutics is expected to result in an increased need for better coordination between all treatment stakeholders, mainly to ensure adequate treatment delivery to the patient. There is significant interest in the nurse navigation program's potential to improve transitions of care by improving communication between treatment stakeholders and by providing personalized organizational assistance to patients. The use of health information technology is another strategy aimed at improving cancer care coordination that can be combined with the NN program to improve remote patient follow-up. However, the potential of these two strategies combined to improve oral treatment delivery is limited by a lack of rigorous evidence of actual impact. METHODS/DESIGN: We are conducting a large scale randomized controlled trial designed to assess the impact of a navigation program denoted CAPRI that is based on two Nurse Navigators and a web portal ensuring coordination between community and hospital as well as between patients and navigators, versus routine delivery of oral anticancer therapy. The primary research aim is to assess the impact of the program on treatment delivery for patients with metastatic cancer, as measured by Relative Dose Intensity. The trial involves a number of other outcomes, including tumor response, survival, toxic side effects, patient quality of life and patient experience An economic evaluation adopting a societal perspective will be conducted, in order to estimate those health. care resources' used. A parallel process evaluation will be conducted to describe implementation of the intervention. DISCUSSION: If the CAPRI program does improve treatment delivery, the evidence on its economic impact will offer important knowledge for health decision-makers, helping develop new follow-up services for patients receiving oral chemotherapy and/or targeted therapy. The process evaluation will determine the best conditions in which such a program might be implemented. TRIAL REGISTRATION: NCT 02828462 . Registered 29 June 2016.

Implementing hospital pay-for-performance: Lessons learned from the French pilot program.

Despite a wide implementation of pay-for-performance (P4P) programs, evidence on their impact in hospitals is still limited. Our objective was to assess the implementation of the French P4P pilot program (IFAQ1) across 222 hospitals. The study consisted of a questionnaire among four leaders in each enrolled hospital, combined with a qualitative analysis based on 33 semi-structured interviews conducted with staff in four participating hospitals. For the questionnaire results, descriptive statistics were performed and responses were analyzed by job title. For the interviews, transcripts were analysed using coding techniques. Survey results showed that leaders were mostly positive about the program and reported a good level of awareness, in contrast to the frontline staff, who remained mostly unaware of the program's existence. The main barriers were attributed to lack of clarity in program rules, and to time constraints. Different strategies were then suggested by leaders. The qualitative results added further explanations for low program adoption among hospital staff, so far. Ultimately, although paying for quality is still an intuitive approach; gaps in program awareness within enrolled hospitals may pose an important challenge to P4P efficacy. Implementation evaluations are therefore necessary for policymakers to better understand P4P adoption processes among hospitals.

Comparative Quality Indicators for Hospital Choice: Do General Practitioners Care?

CONTEXT: The strategy of publicly reporting quality indicators is being widely promoted through public policies as a way to make health care delivery more efficient. OBJECTIVE: To assess general practitioners' (GPs) use of the comparative hospital quality indicators made available by public services and the media, as well as GPs' perceptions of their qualities and usefulness. METHOD: A telephone survey of a random sample representing all self-employed GPs in private practice in France. RESULTS: A large majority (84.1%-88.5%) of respondents (n = 503; response rate of 56%) reported that they never used public comparative indicators, available in the mass media or on government and non-government Internet sites, to influence their patients' hospital choices. The vast majority of GPs rely mostly on traditional sources of information when choosing a hospital. At the same time, this study highlights favourable opinions shared by a large proportion of GPs regarding several aspects of hospital quality indicators, such as their good qualities and usefulness for other purposes. In sum, the results show that GPs make very limited use of hospital quality indicators based on a consumer choice paradigm but, at the same time, see them as useful in ways corresponding more to the usual professional paradigms, including as a means to improve quality of care.

Internet-based technologies to improve cancer care coordination: current use and attitudes among cancer patients.

BACKGROUND: The uses of internet-based technologies (e.g. patient portals, websites and applications) by cancer patients could be strong drive for change in cancer care coordination practices. The goal of this study was to assess the current utilisation of internet-based technologies (IBT) among cancer patients, and their willingness to use them for their health, as well as analyse the influence of socio-demographics on both aspects. METHODS: A questionnaire-based survey was conducted in June 2013, over seven non-consecutive days within seven outpatient departments of Gustave Roussy, a comprehensive cancer centre (≈160,000 consultations yearly), located just outside Paris. We computed descriptive statistics and performed correlation analysis to investigate patients' usage and attitudes in correspondence with age, gender, socioeconomic status, social isolation, and place of living. We then conducted multinomial logistic regressions using R. RESULTS: The participation level was 85% (n=1371). The median age was 53.4. 71% used a mobile phone everyday and 93% had access to Internet from home. Age and socioeconomic status were negatively associated with the use of IBT (p<0.001). Regarding patients' expected benefits, a wide majority valued its use in health care, and especially, the possibility to enhance communication with providers. 84% of patients reported feeling comfortable with the use of such technologies but age and socioeconomic status had a significant influence. CONCLUSION: Most patients used IBTs every day. Overall, patients advocated for an extended use of IBT in oncology. Differences in perceived ease of use corresponding to age and socioeconomic status have to be addressed.

Data analysis techniques: a tool for cumulative exposure assessment.

Everyone is subject to environmental exposures from various sources, with negative health impacts (air, water and soil contamination, noise, etc.or with positive effects (e.g. green space). Studies considering such complex environmental settings in a global manner are rare. We propose to use statistical factor and cluster analyses to create a composite exposure index with a data-driven approach, in view to assess the environmental burden experienced by populations. We illustrate this approach in a large French metropolitan area. The study was carried out in the Great Lyon area (France, 1.2 M inhabitants) at the census Block Group (BG) scale. We used as environmental indicators ambient air NO2 annual concentrations, noise levels and proximity to green spaces, to industrial plants, to polluted sites and to road traffic. They were synthesized using Multiple Factor Analysis (MFA), a data-driven technique without a priori modeling, followed by a Hierarchical Clustering to create BG classes. The first components of the MFA explained, respectively, 30, 14, 11 and 9% of the total variance. Clustering in five classes group: (1) a particular type of large BGs without population; (2) BGs of green residential areas, with less negative exposures than average; (3) BGs of residential areas near midtown; (4) BGs close to industries; and (5) midtown urban BGs, with higher negative exposures than average and less green spaces. Other numbers of classes were tested in order to assess a variety of clustering. We present an approach using statistical factor and cluster analyses techniques, which seem overlooked to assess cumulative exposure in complex environmental settings. Although it cannot be applied directly for risk or health effect assessment, the resulting index can help to identify hot spots of cumulative exposure, to prioritize urban policies or to compare the environmental burden across study areas in an epidemiological framework.

Mortality following stroke during and after acute care according to neighbourhood deprivation: a disease registry study.

BACKGROUND: Neighbourhood deprivation has been shown to be inversely associated with mortality 1 month after stroke. Whether this disadvantage begins while patients are still receiving acute care is unclear. We aimed to study mortality after stroke specifically in the period while patients are under acute care and the ensuing period when they are discharged to home or other care settings. METHODS: Our sample includes 1760 incident strokes (mean age 75, 48% men, 86% ischaemic) identified between 1998 and 2010 by the population-based stroke registry of Dijon (France). We used Cox regression to study all-cause mortality up to 90 days after stroke occurrence. RESULTS: Overall, 284 (16.1%) patients died during the 90 days following stroke. Prior to stroke, risk factors prevalence (eg, high blood pressure and diabetes) and acute care management did not vary across deprivation levels. There was no association between deprivation and mortality while patients were in acute care (HR comparing the highest to the lowest tertiles of deprivation: 1.01, 95% CI 0.71 to 1.43). After discharge, however, age and gender adjusted mortality gradually increased with deprivation (HR 2.08, 95% CI 1.07 to 4.02). This association was not modified when stroke type and severity were accounted for. CONCLUSIONS: The gradient of higher poststroke mortality with increasing neighbourhood deprivation was noticeable only after acute hospital discharge. Quality of postacute care and social support are potential determinants of these variations.

An ecological study to identify census blocks supporting a higher burden of disease: infant mortality in the lille metropolitan area, france.

In France, reducing social health inequalities has become an explicit goal of health policies over the past few years, one of its objectives is specifically the reduction of the perinatal mortality rate. This study investigates the association between infant mortality and social deprivation categories at a small area level in the Lille metropolitan area, in the north of France, to identify census blocks where public authorities should prioritize appropriate preventive actions. We used census data to establish a neighbourhood deprivation index whose multiple dimensions encompass socioeconomic characteristics. Infant mortality data were obtained from the Lille metropolitan area municipalities to estimate a death rate at the census tract level. We used Bayesian hierarchical models in order to reduce the extra variability when computing relative risks (RR) and to assess the associations between infant mortality and deprivation. Between 2000 and 2009, 668 cases of infant death occurred in the Lille metropolitan area (4.2 per 1,000 live births). The socioeconomic status is associated with infant mortality, with a clear gradient of risk from the most privileged census blocks to the most deprived ones (RR = 2.62, 95 % confidence interval [1.87; 3.70]). The latter have 24.6 % of families who were single parents and 29.9 % of unemployed people in the labor force versus 8.5 % and 7.7 % in the former. Our study reveals socio-spatial disparities in infant mortality in the Lille metropolitan area and highlights the census blocks most affected by the inequalities. Fine spatial analysis may help inform the design of preventive policies tailored to the characteristics of the local communities.

An exploratory spatial analysis to assess the relationship between deprivation, noise and infant mortality: an ecological study.

BACKGROUND: Few studies have explored how noise might contribute to social health inequalities, and even fewer have considered infant mortality or its risk factors as the health event of interest.In this paper, we investigate the impact of neighbourhood characteristics - both socio-economic status and ambient noise levels - on the spatial distribution of infant mortality in the Lyon metropolitan area, in France. METHODS: All infant deaths (n = 715) occurring between 2000 and 2009 were geocoded at census block level. Each census block was assigned multi-component socio-economic characteristics and Lden levels, which measure exposure to noise. Using a spatial-scan statistic, we examined whether there were significant clusters of high risk of infant mortality according to neighbourhood characteristics. RESULTS: Our results highlight the fact that infant mortality is non-randomly distributed spatially, with clusters of high risk in the south-east of the Lyon metropolitan area (RR = 1.44; p = 0.09). After adjustments for socio-economic characteristics and noise levels, this cluster disappears or shifts according to in line with different scenarios, suggesting that noise and socio-economic characteristics can partially explain the spatial distribution of infant mortality. CONCLUSION: Our findings show that noise does have an impact on the spatial distribution of mortality after adjustments for socio-economic characteristics. A link between noise and infant mortality seems plausible in view of the three hypothetical, non-exclusive, pathways we propose in our conceptual framework: (i) a psychological pathway, (ii) a physiological disruption process and (iii) an unhealthy behaviours pathway. The lack of studies makes it is difficult to compare our findings with others. They require further research for confirmation and interpretation.

Green space, social inequalities and neonatal mortality in France.

BACKGROUND: Few studies have considered using environmental amenities to explain social health inequalities.Nevertheless, Green spaces that promote good health may have an effect on socioeconomic health inequalities. In developed countries, there is considerable evidence that green spaces have a beneficial effect on the health of urban populations and recent studies suggest they can have a positive effect on pregnancy outcomes. To investigate the relationship between green spaces and the spatial distribution of infant mortality taking account neighborhood deprivation levels. METHODS: The study took place in Lyon metropolitan area, France. All infant deaths that occurred between 2000 and 2009 were geocoded at census block level. Each census block was assigned greenness and socioeconomic deprivation levels. The spatial-scan statistic was used to identify high risk cluster of infant mortality according to these neighborhood characteristics. RESULTS: The spatial distribution of infant mortality was not random with a high risk cluster in the south east of the Lyon metropolitan area (p<0.003). This cluster disappeared (p=0.12) after adjustment for greenness level and socioeconomic deprivation, suggesting that these factors explain part of the spatial distribution of infant mortality. These results are discussed using a conceptual framework with 3 hypothetical pathways by which green spaces may have a beneficial effect on adverse pregnancy outcomes: (i) a psychological pathway, (ii) a physiological disruption process and (iii) an environmental pathway. CONCLUSIONS: These results add some evidence to the hypothesis that there is a relationship between access to green spaces and pregnancy outcomes but further research is required to confirm this.

Cluster analysis of social and environment inequalities of infant mortality. A spatial study in small areas revealed by local disease mapping in France.

Mapping spatial distributions of disease occurrence can serve as a useful tool for identifying exposures of public health concern. Infant mortality is an important indicator of the health status of a population. Recent literature suggests that neighborhood deprivation status can modify the effect of air pollution on preterm delivery, a known risk factor for infant mortality. We investigated the effect of neighborhood social deprivation on the association between exposure to ambient air NO2 and infant mortality in the Lille and Lyon metropolitan areas, north and center of France, respectively, between 2002 and 2009. We conducted an ecological study using a neighborhood deprivation index estimated at the French census block from the 2006 census data. Infant mortality data were collected from local councils and geocoded using the address of residence. We generated maps using generalized additive models, smoothing on longitude and latitude while adjusting for covariates. We used permutation tests to examine the overall importance of location in the model and identify areas of increased and decreased risk. The average death rate was 4.2‰ and 4.6‰ live births for the Lille and Lyon metropolitan areas during the period. We found evidence of statistically significant precise clusters of elevated infant mortality for Lille and an east-west gradient of infant mortality risk for Lyon. Exposure to NO2 did not explain the spatial relationship. The Lille MA, socioeconomic deprivation index explained the spatial variation observed. These techniques provide evidence of clusters of significantly elevated infant mortality risk in relation with the neighborhood socioeconomic status. This method could be used for public policy management to determine priority areas for interventions. Moreover, taking into account the relationship between social and environmental exposure may help identify areas with cumulative inequalities.

A statistical procedure to create a neighborhood socioeconomic index for health inequalities analysis.

INTRODUCTION: In order to study social health inequalities, contextual (or ecologic) data may constitute an appropriate alternative to individual socioeconomic characteristics. Indices can be used to summarize the multiple dimensions of the neighborhood socioeconomic status. This work proposes a statistical procedure to create a neighborhood socioeconomic index. METHODS: The study setting is composed of three French urban areas. Socioeconomic data at the census block scale come from the 1999 census. Successive principal components analyses are used to select variables and create the index. Both metropolitan area-specific and global indices are tested and compared. Socioeconomic categories are drawn with hierarchical clustering as a reference to determine "optimal" thresholds able to create categories along a one-dimensional index. RESULTS: Among the twenty variables finally selected in the index, 15 are common to the three metropolitan areas. The index explains at least 57% of the variance of these variables in each metropolitan area, with a contribution of more than 80% of the 15 common variables. CONCLUSIONS: The proposed procedure is statistically justified and robust. It can be applied to multiple geographical areas or socioeconomic variables and provides meaningful information to public health bodies. We highlight the importance of the classification method. We propose an R package in order to use this procedure.

A small-area ecologic study of myocardial infarction, neighborhood deprivation, and sex: a Bayesian modeling approach.

BACKGROUND: Socioeconomic inequalities in the risk of coronary heart disease (CHD) are well documented for men and women. CHD incidence is greater for men but its association with socioeconomic status is usually found to be stronger among women. We explored the sex-specific association between neighborhood deprivation level and the risk of myocardial infarction (MI) at a small-area scale. METHODS: We studied 1193 myocardial infarction events in people aged 35-74 years in the Strasbourg metropolitan area, France (2000-2003). We used a deprivation index to assess the neighborhood deprivation level. To take into account spatial dependence and the variability of MI rates due to the small number of events, we used a hierarchical Bayesian modeling approach. We fitted hierarchical Bayesian models to estimate sex-specific relative and absolute MI risks across deprivation categories. We tested departure from additive joint effects of deprivation and sex. RESULTS: The risk of MI increased with the deprivation level for both sexes, but was higher for men for all deprivation classes. Relative rates increased along the deprivation scale more steadily for women and followed a different pattern: linear for men and nonlinear for women. Our data provide evidence of effect modification, with departure from an additive joint effect of deprivation and sex. CONCLUSIONS: We document sex differences in the socioeconomic gradient of MI risk in Strasbourg. Women appear more susceptible at levels of extreme deprivation; this result is not a chance finding, given the large difference in event rates between men and women.