Publications by authors named "Benoit Lalloue"

Article Synopsis
  • The study looked at how the COVID-19 lockdown affected young people's mental health in France one year later.
  • Researchers found different types of social situations, like having few or many chances to connect with others at home.
  • The results showed that those with less social contact at home had worse mental health compared to those with more social opportunities, but where they lived didn't seem to matter as much.
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Article Synopsis
  • The 2023 Duke-ISCVID criteria for diagnosing infective endocarditis (IE) were tested against the previous 2000 Modified Duke and 2015 ESC criteria using a large patient cohort treated for the condition.
  • A total of 1194 patients were analyzed, revealing that the 2023 criteria had the highest sensitivity (97.6%) but the lowest specificity (46.0%) compared to the other criteria.
  • The lower specificity in the 2023 criteria was largely due to the inclusion of patients with cardiac implanted electronic devices (CIED), highlighting the need for cautious interpretation in this group.
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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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