Social and medical vulnerability factors of emergency department frequent users in a universal health insurance system

Objectifs - Identifier les facteurs de vulnérabilité sociaux et médicaux associés au recours multiple aux consultations des urgences. - Déterminer si les patients à recours multiple sont plus à même de combiner ces facteurs dans un système d'assurance universelle. Méthode Il s'agit d'une étude cas-contrôle rétrospective basée sur l'étude de dossiers médico-administratifs comparant des échantillons randomisés de patients à recours multiple à des patients n'appartenant pas à cette catégorie, au sein des urgences du Centre Hospitalier Universitaire Vaudois et de la Policlinique Médicale Universitaire de Lausanne. Les auteurs ont défini les patients à recours multiple comme comptabilisant au moins quatre consultations aux urgences durant les douze mois précédents. Les patients adultes (>18 ans) ayant consulté les urgences entre avril 2008 et mars 2009 (période d'étude) étaient inclus ; ceux quittant les urgences sans décharge médicale étaient exclus. Pour chaque patient, le premier dossier d'urgence informatisé inclus dans la période d'étude était sélectionné pour l'extraction des données. Outre les variables démographiques de base, les variables d'intérêt comprennent des caractéristiques sociales (emploi, type de résidence) et médicales (diagnostic principal aux urgences). Les facteurs sociaux et médicaux significatifs ont été utilisés dans la construction d'un modèle de régression logistique, afin de déterminer les facteurs associés avec le recours multiple aux urgences. De plus, la combinaison des facteurs sociaux et médicaux a été étudiée. Résultats Au total, 359/Γ591 patients à recours multiple et 360/34'263 contrôles ont été sélectionnés. Les patients à recours multiple représentaient moins d'un vingtième de tous les patients des urgences (4.4%), mais engendraient 12.1% de toutes les consultations (5'813/48'117), avec un record de 73 consultations. Aucune différence en termes d'âge ou de genre n'est apparue, mais davantage de patients à recours multiples étaient d'une nationalité autre que suisse ou européenne (n=117 [32.6%] vs n=83 [23.1%], p=0.003). L'analyse multivariée a montré que les facteurs de vulnérabilité sociaux et médicaux les plus fortement associés au recours multiple aux urgences étaient : être sous tutelle (Odds ratio [OR] ajusté = 15.8; intervalle de confiance [IC] à 95% = 1.7 à 147.3), habiter plus proche des urgences (OR ajusté = 4.6; IC95% = 2.8 à 7.6), être non assuré (OR ajusté = 2.5; IC95% = 1.1 à 5.8), être sans emploi ou dépendant de l'aide sociale (OR ajusté = 2.1; IC95% = 1.3 à 3.4), le nombre d'hospitalisations psychiatriques (OR ajusté = 4.6; IC95% = 1.5 à 14.1), ainsi que le recours à au moins cinq départements cliniques différents durant une période de douze mois (OR ajusté = 4.5; IC95% = 2.5 à 8.1). Le fait de comptabiliser deux sur quatre facteurs sociaux augmente la vraisemblance du recours multiple aux urgences (OR ajusté = 5.4; IC95% = 2.9 à 9.9) ; des résultats similaires ont été trouvés pour les facteurs médicaux (OR ajusté = 7.9; IC95% = 4.6 à 13.4). La combinaison de facteurs sociaux et médicaux est fortement associée au recours multiple aux urgences, puisque les patients à recours multiple étaient dix fois plus à même d'en comptabiliser trois d'entre eux (sur un total de huit facteurs, IC95% = 5.1 à 19.6). Conclusion Les patients à recours multiple aux urgences représentent une proportion modérée des consultations aux urgences du Centre Hospitalier Universitaire Vaudois et de la Policlinique Médicale Universitaire de Lausanne. Les facteurs de vulnérabilité sociaux et médicaux sont associés au recours multiple aux urgences. En outre, les patients à recours multiple sont plus à même de combiner les vulnérabilités sociale et médicale que les autres. Des stratégies basées sur le case management pourraient améliorer la prise en charge des patients à recours multiple avec leurs vulnérabilités afin de prévenir les inégalités dans le système de soins ainsi que les coûts relatifs.

Micro-insurance through corporate-NGO partnerships in West Bengal : opportunities and constraints

This Practical Note examines the nascent micro-insurance sector in West Bengal, paying particular attention to the corporate- NGO partnership model for micro-insurance distribution,which has been enabled by India's unique regulatory framework. We challenge the popularconstruction of this model as a 'win - win' for all parties by analysing conflicting understandings of micro-insurance schemes and their purposes by insurance companies, NGOs, and poorvillagers. The article also considers the role of the specific political context of West Bengal inconstricting corporate- NGO micro-insurance

Factors promoting the exposure to bioaerosols among crop workers

Introduction. Agricultural workers are among the professional groups most at risk of developing acute or chronic respiratory problems. Despite this fact, the etiology of these occupational diseases is poorly known, even in important sectors of agriculture such as the crops sector. Cereals can be colonized by a large number of fungal species throughout the plants' growth, but also during grain storage. Some of these fungi deliver toxins that can have a serious impact on human health when they are ingested via wheat products. Although International and European legislation on contaminants in food, including mycotoxins, include measures to ensure protection of public health by setting down the maximum levels for certain contaminants, the risks associated with the inhalation of such molecules during grain handling remains poorly documented. Goal of study. This project's objective was to characterize worker exposure to pathogenic, irritative or allergenic microorganisms and to identify the abiotic or biotic factors that reduce the growth of these microorganisms in crops. Indeed, the proliferation of microorganisms on wheat is dependent on temperature, rainfall and human disturbance (e.g. usage of tillage, addition of fungicides). A change in the concentration of these microorganisms in the substrate will directly result in a change in the concentration of aerosolized particles of the same microorganisms. Therefore, the exposure of worker to bioaérosols will also change. The Vaud region of Switzerland is a perfect region for conduct such a project as weather conditions vary and agricultural land management programs are divers at a small geographic scale. Methods. Bioaerosols and wheat dust have been sampled during wheat harvesting of summer 2010 at 100 sites uniformly distributed in the Vaud region that are representative of the different agriculture practices. Personal exposure has been evaluated for different wheat related activities: harvesting, grain unload, baling straw, the cleaning of harvesters and silos. Aerosols have been sampled at a rate of 2L/min between 15 min to 4 hours (t) on a 5m PVC filter for estimating the total dust inhaled, on gelatine filter for the identification and quantification of molds, and on a 0.45um polycarbonate filter for endotoxin quantification. Altitude, temperature and annual average rainfall were considered for each site. The physical and chemical characteristics of soils were determined using the methods in effect at Sol Council (Nyon). Total dust has been quantified following NIOSH 0500 method. Reactive endotoxine activity has been determined with Limulus Amebocyte Lysate Assay. All molds have been identified by the pyrosequencing of ITS2 amplicons generated from bioaerosol or wheat dust genomic DNA. Results & Conclusions. Our results confirm the previous quantitative data on the worker exposure to wheat dust. In addition, they show that crop workers are systematically exposed to complex mixtures of allergens, irritants or cytotoxic components. The novelty of our study is the systematic detection of molds such as Fusarium - that is a mycotoxins producer - in the bioaerosols. The results are interpreted by taking in account the agriculture practice, the Phosphorus : Carbon : Nitrogen ratio of the soil, the altitude and the average of rainy days per year.

Interpretation of primary care physicians' attitude regarding rotavirus immunisation using diffusion of innovation theories.

To evaluate primary care physicians' attitude towards implementation of rotavirus (RV) immunisation into the Swiss immunisation schedule, an eight-question internet-based questionnaire was sent to the 3799 subscribers of InfoVac, a nationwide web-based expert network on immunisation issues, which reaches >95% of paediatricians and smaller proportions of other primary care physicians. Five demographic variables were also inquired. Descriptive statistics and multivariate analyses for the main outcome "acceptance of routine RV immunisation" and other variables were performed. Diffusion of innovation theory was used for data assessment. Nine-hundred seventy-seven questionnaires were returned (26%). Fifty percent of participants were paediatricians. Routine RV immunisation was supported by 146 participants (15%; so called early adopters), dismissed by 620 (64%), leaving 211 (21%) undecided. However, when asked whether they would recommend RV vaccination to parents if it were officially recommended by the federal authorities and reimbursed, 467 (48.5%; so called early majority) agreed to recommend RV immunisation. Multivariate analysis revealed that physicians who would immunise their own child (OR: 5.1; 95% CI: 4.1-6.3), hospital-based physicians (OR: 1.6; 95% CI: 1.1-2.3) and physicians from the French (OR: 1.6; 95% CI: 1.2-2.3) and Italian speaking areas of Switzerland (OR: 2.5; 95% CI: 1.1-5.8) were more likely to support RV immunisation. Diffusion of innovation theory predicts a >80% implementation if approximately 50% of a given population support an innovation. Introduction of RV immunisation in Switzerland is likely to be successful, if (i) the federal authorities issue an official recommendation and (ii) costs are covered by basic health care insurance.

Self-selection and risk selection on the Swiss health insurance market

Abstract This thesis presents three empirical studies in the field of health insurance in Switzerland. First we investigate the link between health insurance coverage and health care expenditures. We use claims data for over 60 000 adult individuals covered by a major Swiss Health Insurance Fund, followed for four years; the data show a strong positive correlation between coverage and expenditures. Two methods are developed and estimated in order to separate selection effects (due to individual choice of coverage) and incentive effects ("ex post moral hazard"). The first method uses the comparison between inpatient and outpatient expenditures to identify both effects and we conclude that both selection and incentive effects are significantly present in our data. The second method is based on a structural model of joint demand of health care and health insurance and makes the most of the change in the marginal cost of health care to identify selection and incentive effects. We conclude that the correlation between insurance coverage and health care expenditures may be decomposed into the two effects: 75% may be attributed to selection, and 25 % to incentive effects. Moreover, we estimate that a decrease in the coinsurance rate from 100% to 10% increases the marginal demand for health care by about 90% and from 100% to 0% by about 150%. Secondly, having shown that selection and incentive effects exist in the Swiss health insurance market, we present the consequence of this result in the context of risk adjustment. We show that if individuals choose their insurance coverage in function of their health status (selection effect), the optimal compensations should be function of the se- lection and incentive effects. Therefore, a risk adjustment mechanism which ignores these effects, as it is the case presently in Switzerland, will miss his main goal to eliminate incentives for sickness funds to select risks. Using a simplified model, we show that the optimal compensations have to take into account the distribution of risks through the insurance plans in case of self-selection in order to avoid incentives to select risks.Then, we apply our propositions to Swiss data and propose a simple econometric procedure to control for self-selection in the estimation of the risk adjustment formula in order to compute the optimal compensations.

Employment risk, unemployment insurance and search strategies: a disaggregated equilibrium approach with application to the Swiss labour market in the 1990-ies

The Organization of the Thesis The remainder of the thesis comprises five chapters and a conclusion. The next chapter formalizes the envisioned theory into a tractable model. Section 2.2 presents a formal description of the model economy: the individual heterogeneity, the individual objective, the UI setting, the population dynamics and the equilibrium. The welfare and efficiency criteria for qualifying various equilibrium outcomes are proposed in section 2.3. The fourth section shows how the model-generated information can be computed. Chapter 3 transposes the model from chapter 2 in conditions that enable its use in the analysis of individual labor market strategies and their implications for the labor market equilibrium. In section 3.2 the Swiss labor market data sets, stylized facts, and the UI system are presented. The third section outlines and motivates the parameterization method. In section 3.4 the model's replication ability is evaluated and some aspects of the parameter choice are discussed. Numerical solution issues can be found in the appendix. Chapter 4 examines the determinants of search-strategic behavior in the model economy and its implications for the labor market aggregates. In section 4.2, the unemployment duration distribution is examined and related to search strategies. Section 4.3 shows how the search- strategic behavior is influenced by the UI eligibility and section 4.4 how it is determined by individual heterogeneity. The composition effects generated by search strategies in labor market aggregates are examined in section 4.5. The last section evaluates the model's replication of empirical unemployment escape frequencies reported in Sheldon [67]. Chapter 5 applies the model economy to examine the effects on the labor market equilibrium of shocks to the labor market risk structure, to the deep underlying labor market structure and to the UI setting. Section 5.2 examines the effects of the labor market risk structure on the labor market equilibrium and the labor market strategic behavior. The effects of alterations in the labor market deep economic structural parameters, i.e. individual preferences and production technology, are shown in Section 5.3. Finally, the UI setting impacts on the labor market are studied in Section 5.4. This section also evaluates the role of the UI authority monitoring and the differences in the Way changes in the replacement rate and the UI benefit duration affect the labor market. In chapter 6 the model economy is applied in counterfactual experiments to assess several aspects of the Swiss labor market movements in the nineties. Section 6.2 examines the two equilibria characterizing the Swiss labor market in the nineties, the " growth" equilibrium with a "moderate" UI regime and the "recession" equilibrium with a more "generous" UI. Section 6.3 evaluates the isolated effects of the structural shocks, while the isolated effects of the UI reforms are analyzed in section 6.4. Particular dimensions of the UI reforms, the duration, replacement rate and the tax rate effects, are studied in section 6.5, while labor market equilibria without benefits are evaluated in section 6.6. In section 6.7 the structural and institutional interactions that may act as unemployment amplifiers are discussed in view of the obtained results. A welfare analysis based on individual welfare in different structural and UI settings is presented in the eighth section. Finally, the results are related to more favorable unemployment trends after 1997. The conclusion evaluates the features embodied in the model economy with respect to the resulting model dynamics to derive lessons from the model design." The thesis ends by proposing guidelines for future improvements of the model and directions for further research.

Understanding Political Knowledge and Its Influence on Voting Preferences in the 2007 Federal Election

In this article we propose a model to explain how voters' perceptions of their ideological proximity to a party affect their propensity to vote for that party. We argue that political knowledge plays a crucial moderating role in the relationship between party proximity and voting propensity. It is necessary, however, to distinguish between institutional knowledge (information about the political system) and party knowledge (information about the parties' left-right positions). An analysis of survey data from the 2007 Swiss federal elections supports our main hypothesis that party knowledge enhances the link between party proximity and voting propensity. Institutional knowledge may have additional influence, but clear evidence for this effect was obtained only for propensities to vote for the Swiss People's Party (SVP). Overall, the impact of political knowledge was found to be substantial, even after controlling for the outstanding influence of party identification and other predictors of voting propensities

Factors promoting the exposure to bioaerosols among crop workers

Agricultural workers are among the professional groups most at risk of developing acute or chronic respiratory problems. Despite this fact, the etiology of these occupational diseases is poorly known, even in important sectors of agriculture such as the crops sector. A chronic exposure to multiple microorganisms, such as different bacterial and fungal species, has been proposed to be the cause of these multiple respiratory pathologies. Nevertheless, these microbial communities are still partially known. The aim of this study is to characterize all fungal species inhaled by the crops workers during different grain related activities and identify the abiotic and biotic factors that reduce the growth of the toxigenic, irritative or allergenic microbial species. Here, we are presenting the factors promoting the exposure to bioaerosols during different wheat related activities: harvesting, grain unload, baling straw, the cleaning of harvesters and silos. Total dust has been quantified following NIOSH 0500 method. Reactive endotoxin activity has been determined with Limulus Amebocyte Lysate Assay. All molds have been identified by the pyrosequencing of ITS2 amplicons generated from bioaerosol.