Resuming motor vehicle driving following orthopaedic surgery or limb trauma.

Following elective orthopaedic surgery or the treatment of a fracture, patients are temporarily unable to drive. This loss of independence may have serious social and economic consequences for the patient. It is therefore essential to know when it is safe to permit such patients to return to driving. This article, based upon a review of the current literature, proposes recommendations of the time period after which patients may safely return to driving. Practical decisions are made based upon the type of surgical intervention or fracture. Swiss legislation is equally approached so as to better define the decision.

Ecological-economic optimization of biodiversity conservation under climate change

Substantial investment in climate change research has led to dire predictions of the impacts and risks to biodiversity. The Intergovernmental Panel on Climate Change fourth assessment report(1) cites 28,586 studies demonstrating significant biological changes in terrestrial systems(2). Already high extinction rates, driven primarily by habitat loss, are predicted to increase under climate change(3-6). Yet there is little specific advice or precedent in the literature to guide climate adaptation investment for conserving biodiversity within realistic economic constraints(7). Here we present a systematic ecological and economic analysis of a climate adaptation problem in one of the world's most species-rich and threatened ecosystems: the South African fynbos. We discover a counterintuitive optimal investment strategy that switches twice between options as the available adaptation budget increases. We demonstrate that optimal investment is nonlinearly dependent on available resources, making the choice of how much to invest as important as determining where to invest and what actions to take. Our study emphasizes the importance of a sound analytical framework for prioritizing adaptation investments(4). Integrating ecological predictions in an economic decision framework will help support complex choices between adaptation options under severe uncertainty. Our prioritization method can be applied at any scale to minimize species loss and to evaluate the robustness of decisions to uncertainty about key assumptions.

The economic burden of alcohol dependence in europe.

AIMS: To determine the economic burden pertaining to alcohol dependence in Europe. METHODS: Database searching was combined with grey literature searching to identify costs and resource use in Europe relating to alcohol dependence as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) or the World Health Organisation's International Classification of Diseases (ICD-10). Searches combined MeSH headings for both economic terms and terms pertaining to alcohol dependence. Relevant outcomes included direct healthcare costs and indirect societal costs. Main resource use outcomes included hospitalization and drug costs. RESULTS: Compared with the number of studies of the burden of alcohol use disorders in general, relatively few focussed specifically on alcohol dependence. Twenty-two studies of variable quality were eligible for inclusion. The direct costs of alcohol dependence in Europe were substantial, the treatment costs for a single alcohol-dependent patient lying within the range euro1591-euro7702 per hospitalization and the annual total direct costs accounting for 0.04-0.31% of an individual country's gross domestic product (GDP). These costs were driven primarily by hospitalization; in contrast, the annual drug costs for alcohol dependence were low. The indirect costs were more substantial than the direct costs, accounting for up to 0.64% of GDP per country annually. Alcohol dependence may be more costly in terms of health costs per patient than alcohol abuse. CONCLUSIONS: This review confirms that alcohol dependence represents a significant burden for European healthcare systems and society. Difficulties in comparing across cost-of-illness studies in this disease area, however, prevent specific estimation of the economic burden.

Health care renunciation for economic reasons in Switzerland.

BACKGROUND: Most societies elaborate ways to contain increasing health care expenditures. In Switzerland out of pocket payments and cuts in the catalogue of reimbursed services are used as cost-containment measures. The aims of the study were to estimate the extent of health care renunciation for economic reasons and to identify associated factors. METHODS: A population-based cross-sectional survey (2008-2009) of a representative sample in the Canton of Geneva, Switzerland. Health care underuse, income level categories (<CHF 3000/month, 3000-4999, 5000-6999, 7000-9499, 9500-13 000, >13 000), education, occupation, insurance status and cardiovascular comorbidities were collected using self-rated questionnaires. RESULTS: 765 men and 814 women aged 35-74 years participated. 14.5% (229/1579) (95%CI 12.7-16.2) renounced health care for economic reasons. Among those who renounced (N = 229), 74% renounced dental care, 37% physician consultation (22% specialist, 15% general practitioner), 26% health devices, 13% medication, and 5% surgery. Income was negatively correlated with renouncement (r = -0.18, p <.0001). Each decrease in income level category provided a 48% increased risk of renouncing health care for economic reasons (OR 1.48, 1.31-1.65). This association remained when dental care was excluded from the definition of health care renunciation. CONCLUSIONS: In a region of Switzerland with a high cost of living, such as Geneva, socioeconomic status may influence the use of the health care system, and renunciation for economic reasons was not uncommon. More than 30% of the lowest income group renounced health care for economical reasons in the previous year. Health care underuse and renunciation may worsen the health status of a substantial part of society.

Forgoing dental care for economic reasons in Switzerland: a six-year cross-sectional population-based study

BACKGROUND: While oral health is part of general health and well-being, oral health disparities nevertheless persist. Potential mechanisms include socioeconomic factors that may influence access to dental care in the absence of universal dental care insurance coverage. We investigated the evolution, prevalence and determinants (including socioeconomic) of forgoing of dental care for economic reasons in a Swiss region, over the course of six years. METHODS: Repeated population-based surveys (2007-2012) of a representative sample of the adult population of the Canton of Geneva, Switzerland. Forgone dental care, socioeconomic and insurance status, marital status, and presence of dependent children were assessed using standardized methods. RESULTS: A total of 4313 subjects were included, 10.6% (457/4313) of whom reported having forgone dental care for economic reasons in the previous 12 months. The crude percentage varied from 2.4% in the wealthiest group (monthly income ≥ 13,000 CHF, 1 CHF ≈ 1$) to 23.5% among participants with the lowest income (<3,000 CHF). Since 2007/8, forgoing dental care remained stable overall, but in subjects with a monthly income of <3,000 CHF, the adjusted percentage increased from 16.3% in 2007/8 to 20.6% in 2012 (P trend = 0.002). Forgoing dental care for economic reasons was independently associated with lower income, younger age, female gender, current smoking, having dependent children, divorced status and not living with a partner, not having a supplementary health insurance, and receipt of a health insurance premium cost-subsidy. CONCLUSIONS: In a Swiss region without universal dental care insurance coverage, prevalence of forgoing dental care for economic reasons was high and highly dependent on income. Efforts should be made to prevent high-risk populations from forgoing dental care.

INTERMED predicts non-return to work in an occupational rehabilitation setting for individuals with orthopaedic trauma-part 2

Introduction.- The model presented in part I (19 predictors) had good predictive values for non-return to work 2 years after vocational rehabilitation for orthopaedic trauma. However, the number of predictors is high for the detection of patients at risk in a clinic. For example, the INTERMED for itself consists of 20 questions and needs 20 minutes to be filled in. For this reason, the aim of this study was to compare the predictive value of different models for the prediction of non-return to work.Patients and methods.- In this longitudinal prospective study, the cohort consisted of 2156 included inpatients with orthopaedic trauma attending a rehabilitation hospital after a work, traffic, sport or leisure related injury. Two years after discharge, 1502 patients returned a questionnaire regarding return to work. We compared the area under the receiver-operator-characteristics curve (ROC) between different models: INTERMED total score, the 4 partial INTERMED scores, the items of the most predictive partial score; with or without confounders.Results.- The ROC for the total score of the INTERMED plus the five confounders of the of the part one (qualified work, speaking French, lesion of upper extremity, education and age) was 0.72. The sole partial INTERMED score to predict return to work was the social sub score. The ROC for the five items of the latter sub score of the INTERMED was 0.69. The ROC for the five items of the social subscale of the INTERMED combined with five predictors was 0.73. This was significantly better than the use of only the five items from INTERMED alone (delta 0.034; 95% CI 0.017 to .050). The model presented in part I (INTERMED total score plus 18 predictors) was not significantly better than the five items INTERMED social score plus five confounders.Discussion.- The use of a model with ten variables (INTERMED social five items plus five confounders) has good predictive value to detect patients not returning to work after vocational rehabilitation after orthopaedic trauma. The parsimony of this model facilitates its use in a clinic for the detection of patients at risk.