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Publications
Objectives:
This study assesses the change in premature mortality and in morbidity under the scenario of meeting the World Health Organization (WHO) global targets for non-communicable disease (NCD) risk factors (RFs) by 2025 in France. It also estimates medical expenditure savings because of the reduction of NCD burden.
Study design:
A microsimulation model is used to predict the future health and economic outcomes in France.
Methods:
A ‘RF targets’ scenario, assuming the achievement of the six targets on RFs by 2025, is compared to a counterfactual scenario with respect to disability-adjusted life years and healthcare costs differences.
Results:
The achievement of the RFs targets by 2025 would save about 25,300 (and 75,500) life years in good health in the population aged 25–64 (respectively 65+) years on average every year and would help to reduce healthcare costs by about €660 million on average per year, which represents 0.35% of the current annual healthcare spending in France. Such a reduction in RFs (net of the natural decreasing trend in mortality) would contribute to achieving about half of the 2030 NCD premature mortality target in France.
Conclusions:
The achievement of the RF targets would lead France to save life years and life years in good health in both working-age and retired people and would modestly reduce healthcare expenditures. To achieve RFs targets and to curb the growing burden of NCDs, France has to strengthen existing and implement new policy interventions.
Background:
In their quest for universal health coverage (UHC), many developing countries explore alternative financing strategies to address the potential budgetary impact of health coverage expansion (for example, deferred debt versus current finance through taxation or premiums). Given the limited fiscal space, these policies may have different implications for fiscal sustainability and may worsen intergenerational inequality.
Methods:
We assessed the impact of UHC on fiscal sustainability and intergenerational inequality using an overlapping generations model within a general equilibrium framework, which we calibrate using data from the Palestinian Expenditures and Consumption Survey (PECS-2011) and the Social Accounting Matrix (SAM-2011). Fiscal sustainability is assessed using a prudent debt–GDP level of 39%. Intergenerational inequality induced by different policies is assessed by comparing the relative incremental burden (RIB) borne by each generation following the policy adjustment.
Findings:
In the absence of any policy adjustment, an ad hoc expansion of health coverage would increase the debt–GDP level to 15% above the prudent level. This indicates that the UHC fiscal stance may be financially unsustainable in the long run, therefore calling for a policy adjustment. Among the policies we examined, UHC finance through the increase of premiums (whether current or deferred) seems to be unsustainable and may further widen intergenerational inequality (RIB∈[3,6]). By contrast, current finance through indirect taxes helps to restore a prudent debt–GDP level and seems to be associated with a lower level of intergenerational inequality than deferred-debt finance through direct taxation (RIB of 1·25 and 5, respectively).
Interpretation:
Among the policy options assessed, the current indirect taxation emerged as the best policy option in terms of its impact on both fiscal sustainability and intergenerational inequalities. However, from a policy perspective, the capacity of governments to raise additional revenues might be constrained in the short-term. Under such circumstances, deferred-debt finance may be preferred—a situation in which policy makers may have to trade fiscal sustainability against intergenerational inequality.
Funding:
The A*MIDEX project (number ANR-11-IDEX-0001-02) funded by the French Government programme Investissements d'avenir, managed by the French National Research Agency (ANR).
Contributors:
SA prepared the data, conceived the framework for the study and carried out data analysis. MA-Z developed the framework for the study, carried out data analysis and wrote the Interpretation section. BV developed the framework for the study. All authors have seen and approved the final version of the Abstract for publication.
This paper investigates the predictive power of several risk attitude measures on a series of medical practices. We elicit risk preferences on a sample of 1500 French general practitioners (GPs) using two different classes of tools: scales, which measure GPs’ own perception of their willingness to take risks between 0 and 10; and lotteries, which require GPs to choose between a safe and a risky option in a series of hypothetical situations. In addition to a daily life risk scale that measures a general risk attitude, risk taking is measured in different domains for each tool: financial matters, GPs’ own health, and patients’ health. We take advantage of the rare opportunity to combine these multiple risk attitude measures with a series of self-reported or administratively recorded medical practices. We successively test the predictive power of our seven risk attitude measures on eleven medical practices affecting the GPs’ own health or their patients’ health. We find that domain-specific measures are far better predictors than the general risk attitude measure. Neither of the two classes of tools (scales or lotteries) seems to perform indisputably better than the other, except when we concentrate on the only non-declarative practice (prescription of biological tests), for which the classic money-lottery test works well. From a public health perspective, appropriate measures of willingness to take risks may be used to make a quick, but efficient, profiling of GPs and target them with personalized communications, or interventions, aimed at improving practices.
Real reductions in decedents’ per-capita Medicare fee-forservice
(FFS) spending accounted for most of Medicare’s
cost growth mitigation between 2009 and 2014.1 Decedents’
spending reductions immediately followed the Great Recession
of 2007–2009, which accounted for 14% of the decline
in overall Medicare spending growth between 2009 and
2012.2 Since Medicare patients living in lower income areas
spend more at the end of life (EOL),3 we sought to explore
whether local economic distress levels were associated with
decedents’ spending.
In this paper, we report the results of risk attitudes elicitation of a French general practitioners national representative sample (N=1568).
This paper analyses the relationships between HIV/AIDS and education taking into account the appropriative nature of child income. Using a theoretical model, we show that considering remittances from one’s child as an insurance asset can reverse the usual negative relationship between disease prevalence and educational investment. This prediction confirms the results of an empirical study conducted on data compiled from the Demographic and Health Survey (DHS) database for 12 sub-Sahara African countries for children aged between 7 and 22-years-old. Using regional HIV prevalence as a measure of health risk, we find that the ‘sign of the slope’ between health risk and the enrolment of children is not constant. Splitting the data based on expected remittance patterns (for example rural versus urban), we obtain that the effect is most likely driven by household characteristics related to child income appropriation.
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Antimicrobial resistance challenge requests to be able to measure patient medication-adherence in outpatient setting, where more than 90% of antibiotics are prescribed. We take advantage of an original dataset where adherence to treatment has been measured through two alternative measurements: pills count and the Morisky scale. Considering the first measure as benchmark, we test the validity of each of the Morisky items and their composition in a synthetic scale. We show that the short-form version of the medication-adherence scale with three items has the best predictive properties in the domain of antibiotic treatments. Given its concision, this tool could even be used by clinicians to quickly assess patients’ adherence and modify it in the course, when needed.
The 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.
Introduction Patients with complex care needs (PCCNs) often suffer from combinations of multiple chronic conditions, mental health problems, drug interactions and social vulnerability, which can lead to healthcare services overuse, underuse or misuse. Typically, PCCNs face interactional issues and unmet decisional needs regarding possible options in a cascade of interrelated decisions involving different stakeholders (themselves, their families, their caregivers, their healthcare practitioners). Gaps in knowledge, values clarification and social support in situations where options need to be deliberated hamper effective decision support interventions. This review aims to (1) assess decisional needs of PCCNs from the perspective of stakeholders, (2) build a taxonomy of these decisional needs and (3) prioritise decisional needs with knowledge users (clinicians, patients and managers).
Methods and analysis This review will be based on the interprofessional shared decision making (IP-SDM) model and the Ottawa Decision Support Framework. Applying a participatory research approach, we will identify potentially relevant studies through a comprehensive literature search; select relevant ones using eligibility criteria inspired from our previous scoping review on PCCNs; appraise quality using the Mixed Methods Appraisal Tool; conduct a three-step synthesis (sequential exploratory mixed methods design) to build taxonomy of key decisional needs; and integrate these results with those of a parallel PCCNs’ qualitative decisional need assessment (semistructured interviews and focus group with stakeholders).
Ethics and dissemination This systematic review, together with the qualitative study (approved by the Centre Intégré Universitaire de Santé et Service Sociaux du Saguenay-Lac-Saint-Jean ethical committee), will produce a working taxonomy of key decisional needs (ontological contribution), to inform the subsequent user-centred design of a support tool for addressing PCCNs’ decisional needs (practical contribution). We will adapt the IP-SDM model, normally dealing with a single decision, for PCCNs who experience cascade of decisions involving different stakeholders (theoretical contribution). Knowledge users will facilitate dissemination of the results in the Canadian primary care network.
PROSPERO registration number CRD42015020558.





