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Background: Faced with patients suffering from more than one chronic condition, or multimorbidity, general practitioners (GPs) must establish diagnostic and treatment priorities. Patients also set their own priorities to handle the everyday burdens associated with their multimorbidity and these may be different from the priorities established by their GP. A shared patient-GP agenda, driven by knowledge of each other's priorities, would seem central to managing patients with multimorbidity. We evaluated GPs' ability to identify the health condition most important to their patients., Methods: Data on 888 patients were collected as part of a cross-sectional Swiss study on multimorbidity in family medicine. For the main analyses on patients-GP agreement, data from 572 of these patients could be included. GPs were asked to identify the two conditions which their patient considered most important, and we tested whether either of them agreed with the condition mentioned as most important by the patient. In the main analysis, we studied the agreement rate between GPs and patients by grouping items medically-related into 46 groups of conditions. Socio-demographic and clinical variables were fitted into univariate and multivariate models., Results: In 54.9% of cases, GPs were able to identify the health condition most important to the patient. In the multivariate model, the only variable significantly associated with patient-GP agreement was the number of chronic conditions: the higher the number of conditions, the less likely the agreement., Conclusion: GPs were able to correctly identify the health condition most important to their patients in half of the cases. It therefore seems important that GPs learn how to better adapt treatment targets and priorities by taking patients' perspectives into account.

Objectives: To estimate the prevalence of multimorbidity using a list of 75 chronic conditions derived from the International Classification for Primary Care, Second edition and developed specifically to assess multimorbidity in primary care. Our aim was also to provide prevalence data for multimorbidity in primary care in a country in which general practitioners (GPs) do not play a gatekeeping role in the health system., Setting: A representative sample of GPs within the Swiss Sentinel Surveillance Network., Participants: 118 GPs completed a paper-based questionnaire about 25 consecutive patients of all ages between September and November 2015. There were no patient exclusion criteria. Recorded data included date of birth, gender and the patients' chronic conditions., Primary and Secondary Outcome Measures: We estimated the prevalence of multimorbidity, defined as ≥2, and ≥3 chronic conditions stratified by gender and age group, and adjusted for clustering by GPs. We also computed the prevalence of each chronic condition individually and grouped by system., Results: Data from 2904 patients were included (mean age (SD)=56.5 (20.5) years; male=43.7%). Prevalence was 52.1% (95% CI 48.6% to 55.5%) for ≥2 and 35.0% (95% CI 31.6% to 38.5%) for ≥3 chronic conditions, with no significant gender differences. Prevalence of two or more chronic conditions was low (6.2%, 95% CI 2.8% to 13.0%) in those below 20 but affected more than 85% (85.8%, 95% CI 79.6% to 90.3%) of those above the age of 80. The most prevalent conditions were cardiovascular (42.7%, 95% CI 39.7% to 45.7%), psychological (28.5%, 95% CI 26.1% to 31.1%) and metabolic or endocrine disorders (24.1%, 95% CI 21.6% to 26.7%). Elevated blood pressure was the most prevalent cardiovascular condition and depression the most common psychological disorder., Conclusion: In a country in which GPs do not play a gatekeeping role within the health system, the prevalence of multimorbidity, as assessed using a list of chronic conditions specifically relevant to primary care, is high and increases with age., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objective: To identify factors associated with health literacy in multimorbid patients., Design: A nationwide cross-sectional study in Switzerland. Univariate and multivariate linear regressions were calculated to identify variables associated with health literacy. A multiple imputation approach was used to deal with missing values., Participants: Multimorbid patients recruited in primary care settings (n=888), above 18 years old and suffering from at least 3 of 75 chronic conditions on a predefined list based on the International Classification of Primary Care 2., Main Measures: Health literacy was assessed using the European Health Literacy Survey project questionnaire (HLS-EU 6). This comprises six items scored from 1 to 4 (very difficult=1, fairly difficult=2, fairly easy=3, very easy=4), and the total health literacy score is computed as their mean. As we wished to understand the determinants associated with lower health literacy, the HLS-EU 6 score was the only dependent variable; all other covariates were considered independent., Results: The mean health literacy score (SD) was 2.9 (0.5). Multivariate analyses found significant associations between low health literacy scores and treatment burden scores (β=-0.004, 95% CI -0.006 to 0.002); marital status, predominantly the divorced group (β=0.136, 95% CI 0.012 to 0.260); dimensions of the EuroQuol 5 Dimension 3 Level (EQ5D3L) quality of life assessment, that is, for moderate problems with mobility (β=-0.086, 95% CI -0.157 to 0.016); and with moderate problems (β=-0.129, 95% CI -0.198 to 0.060) and severe problems with anxiety/depression (β=-0.343, 95% CI -0.500 to 0.186)., Conclusions: Multimorbid patients with a high treatment burden, altered quality of life by problems with mobility, anxiety or depression, often also have low levels of health literacy. Primary care practitioners should therefore pay particular attention to these patients in their daily practice., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objectives: To assess and compare the self-perceived Health Related Quality of Life (HRQoL) of multimorbid patients and the general population using health utilities (HU) and visual analogue scale (VAS) methods., Methods: We analyzed data (n = 888) from a national, cross-sectional Swiss study of multimorbid patients recruited in primary care settings. Self-perceived HRQoL was assessed using the EQ-5D-3L instrument, composed of 1) a questionnaire on the five dimensions of mobility, self-care, usual activities, pain/discomfort, and anxiety/depression (EQ-5D dimensions), and 2) a 0-100 (0 = worst- and 100 = best-imaginable health status) VAS. We described the EQ-5D dimensions and VAS and computed HU using a standard pan-European value set. HU and VAS are the two components of the overall HRQoL assessment. We examined the proportions of multimorbid patients reporting problems (moderate/severe) in each EQ-5D dimension, corresponding proportions without problems, and mean HU and VAS values across patient characteristics. To test differences between subgroups, we used chi-square tests for dichotomous outcomes and T-tests (ANOVA if more than two groups) for continuous outcomes. Finally, we compared observed and predicted HU and VAS values., Results: All 888 participants answered every EQ-5D item. Mean (SD) HU and VAS values were 0.70 (0.18) and 63.2 (19.2), respectively. HU and VAS were considerably and significantly lower in multimorbid patients than in the general population and were also lower in multimorbid patients below 60 years old and in women. Differences between observed and predicted means (SD) were -0.07 (0.18) for HU and -11.8 (20.3) for VAS., Conclusions: Self-perceived HRQoL is considerably and significantly affected by multimorbidity. More attention should be given to developing interventions that improve the HRQoL of multimorbid patients, particularly women and those aged below 60 years old.

Background: Systematic screening for excessive alcohol use among young people is recommended but rarely implemented. Family practitioners tend to select patients for screening, based on their preliminary subjective opinions, which may be biased., Objective: To evaluate the ability of family practitioners to identify excessive alcohol use among young people prior to screening them., Methods: This prospective study was conducted through Sentinella, an epidemiological network involving 150 family practitioners across Switzerland. All patients aged 10-24 years old, consulting participating physicians between January 1 and December 31, 2014 were eligible. First, physicians were asked to give their a priori opinion about patients' potential alcohol use. Subsequently, they asked two screening questions: (i) 'Do you drink alcohol?' and (ii) 'How many times have you had 5 (4 for girls) or more standard drinks in one day over the past year?'. Excessive alcohol use was defined as ≥1 episode of binge drinking a month. Physicians' a priori opinions were regarded as a screening test and were compared with patients' answers., Results: 7723 patients were eligible for analysis. Their mean age (SD) was 17.3(4.0) years. The two screening questions identified 3559 (46.1%) and 509 (6.6%) patients who consumed alcohol occasionally and regularly, respectively. 406 patients (5.3%) reported excessive alcohol use. Physicians' a priori opinions had a sensitivity of 26.4% and a positive predictive value of 35.5% for the identification of excessive alcohol use., Conclusion: The systematic use of a screening tool should be preferred over family practitioners' subjective opinions to identify excessive alcohol use in young people., (© The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Deprivation usually encompasses material, social, and health components. It has been shown to be associated with greater risks of developing chronic health conditions and of worse outcome in multimorbidity. The DipCare questionnaire, an instrument developed and validated in Switzerland for use in primary care, identifies patients subject to potentially higher levels of deprivation., Objectives: To identifying determinants of the material, social, and health profiles associated with deprivation in a sample of multimorbid, primary care patients, and thus set priorities in screening for deprivation in this population., Design: Secondary analysis from a nationwide cross-sectional study in Switzerland., Participants: A random sample of 886 adult patients suffering from at least three chronic health conditions., Main Measures: The outcomes of interest were the patients' levels of deprivation as measured using the DipCare questionnaire. Classification And Regression Tree analysis identified the independent variables that separated the examined population into groups with increasing deprivation scores. Finally, a sensitivity analysis (multivariate regression) confirmed the robustness of our results., Key Results: Being aged under 64 years old was associated with higher overall, material, and health deprivation; being aged over 77 years old was associated with higher social deprivation. Other variables associated with deprivation were the level of education, marital status, and the presence of depression or chronic pain., Conclusion: Specific profiles, such as being younger, were associated with higher levels of overall, material, and health deprivation in multimorbid patients. In contrast, patients over 77 years old reported higher levels of social deprivation. Furthermore, chronic pain and depression added to the score for health deprivation. It is important that GPs consider the possibility of deprivation in these multimorbid patients and are able to identify it, both in order to encourage treatment adherence and limit any forgoing of care for financial reasons.

Objective: To characterise in details a random sample of multimorbid patients in Switzerland and to evaluate the clustering of chronic conditions in that sample., Methods: 100 general practitioners (GPs) each enrolled 10 randomly selected multimorbid patients aged ≥18 years old and suffering from at least three chronic conditions. The prevalence of 75 separate chronic conditions from the International Classification of Primary Care-2 (ICPC-2) was evaluated in these patients. Clusters of chronic conditions were studied in parallel., Results: The final database included 888 patients. Mean (SD) patient age was 73.0 (12.0) years old. They suffered from 5.5 (2.2) chronic conditions and were prescribed 7.7 (3.5) drugs; 25.7% suffered from depression. Psychological conditions were more prevalent among younger individuals (≤66 years old). Cluster analysis of chronic conditions with a prevalence ≥5% in the sample revealed four main groups of conditions: (1) cardiovascular risk factors and conditions, (2) general age-related and metabolic conditions, (3) tobacco and alcohol dependencies, and (4) pain, musculoskeletal and psychological conditions., Conclusion: Given the emerging epidemic of multimorbidity in industrialised countries, accurately depicting the multiple expressions of multimorbidity in family practices' patients is a high priority. Indeed, even in a setting where patients have direct access to medical specialists, GPs nevertheless retain a key role as coordinators and often as the sole medical reference for multimorbid patients., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: Social capital is described as a protective factor against youth substance use, but it may also be associated with behaviours that do not enhance health. The present study hypothesized that 'substance use capital', i.e. resources favourable to substance use, is a risk factor for substance use and misuse., Methods: We used baseline data from the ongoing Cohort Study on Substance Use Risk Factors (C-SURF) that included a representative sample of young Swiss men (n=5623). Substance use (alcohol, cannabis, 15 illicit drugs, lifetime use, hazardous use and dependence), substance use capital (parental and peer attitudes towards substance use, parental and peer drug use, perceived norms of substance use) and aspects of social capital (relationships with parents and peers) were assessed. Logistic regressions were used to examine the associations between substance-related resources and social resources, and substance use., Results: Results showed that substance-related resources were associated with an increased risk of substance use (OR between 1.25 and 4.67), whereas social resources' associations with substance use were commonly protective but weaker than substance-related resources. Thus, a drug-friendly environment facilitated substance use and misuse. Moreover, the results showed that peer environments were more drug-friendly than familial environments., Conclusion: In conclusion, this study highlighted a concept of 'substance use capital', which may be useful for advancing both theoretical and applied knowledge of substance use. Indeed, substance use is not only associated with a lack of social resources, but also with specific drug-friendly social resources coming from environment and background., (Copyright © 2016 Elsevier Masson SAS. All rights reserved.)

Background: Chronic conditions and multimorbidity (MM) are major concerns in family medicine (FM)., Objectives: Based on the International Classification of Primary Care, Second Edition (ICPC-2), this study aimed to list (i)the chronic conditions and (ii)those most relevant to MM in FM., Methods: A panel of FM experts used a four-step process to identify chronic conditions among ICPC-2 items and list chronic conditions most relevant in MM. They also evaluated the importance of eight criteria, previously identified in the literature, for characterizing chronic conditions. Step one involved a focus group of five experts. Steps two, three and four involved 10, 25 and 25 experts, respectively. They rated ICPC-2 items via an online questionnaire using a Likert scale from 1 (never chronic/irrelevant in MM) to 9 (always chronic/always relevant in MM). A median value cut-off was used to evaluate appropriateness of each item and the inter-percentile range adjusted for symmetry to determine the agreement/disagreement between experts. In parallel, in steps two and three, experts rated the importance of eight criteria to characterize chronic conditions, using a Likert scale from 1 (strongly disagree) to 9 (strongly agree)., Results: Of the ICPC-2's 686 items, experts identified 139 chronic conditions, of which 75 were deemed most relevant in the context of MM. Four of the eight criteria were retained as important to define chronic conditions: duration, sequelae, recurrence/pattern and the diagnosis itself., Conclusion: Using this list of 75 chronic conditions most relevant in the context of MM should enhance the validity of studies of MM in FM., (© The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Multimorbidity is often synonym with complexity and generally implies multiple medical treatments. In many cases, treatment guidelines traditionally defined for single conditions are not easily applicable. Primary care for individuals with multimorbidity requires complex patient-centered care and good communication between the patient and the general practitioner (GP). This often includes prioritizing among the different chronic conditions. The burden related to multimorbidity from the GP and the patients' perspective, as well as the prioritization of care between in patients with multimorbidity, has not been studied extensively yet. We report here the preliminary results of a national research aiming at characterizing these aspects in a sample of patients identified through their GP and suffering from at least 3 chronic conditions.

The aging of the population together with the increasing life expectancy lead to a drastic increase in the number of patients with multi-morbidity (MM). Caring for these patients is time-consuming and the treatment of multiple conditions might be burdensome. Therefore both general practitioner (GP) and patients need to establish priorities and, among others, to decide which pathology to treat primarily or to which treatment to renounce. How they do this is currently unknown. This qualitative study based on individual interviews reports prioritization's strategies used by five GPs and five of their patients in Switzerland. Our study underlined the importance of the discussion between GPs and their patients and the use of the shared decision-making in the prioritization process.

Among the negative consequences of video gaming disorder, decreased participation in sport and exercise has received little attention. This study aimed to assess the longitudinal association between video gaming disorder and the level of sport and exercise in emerging adult men. A questionnaire was completed at baseline and 15-month follow-up by a representative national sample of 4,933 respondents. The seven items of the Game Addiction Scale were used to construct a latent variable representing video gaming disorder. Level of sport and exercise was also self-reported. Cross-lagged path modeling indicated a reciprocal causality between video gaming disorder and the level of sport and exercise, even after adjusting for a large set of confounders. These findings support the need for better promotion of sport and exercise among emerging adults in order to contribute to the prevention of video gaming disorder, and to raise the level of sport and exercise activity in addicted gamers.

Background: Obesity and substance use are major concern in young people. This study explored the bidirectional longitudinal relationships between the body mass index (BMI) of young men and their use of (1) 4 classes of nonmedical prescription drugs; (2) alcohol; (3) tobacco; and (4) cannabis., Methods: Baseline and follow-up data from the Cohort Study on Substance Use Risk Factors were used (N = 5007). A cross-lagged panel model, complemented by probit models as sensitivity analysis, was run to determine the bidirectional relationships between BMI and substance use. Alcohol was assessed using risky single-occasion drinking (RSOD); tobacco, using daily smoking; and cannabis, using hazardous cannabis use (defined as twice-weekly or more cannabis use). Nonmedical prescription drugs use (NMPDU) included opioid analgesics, sedatives/sleeping pills, anxiolytics, and stimulants., Results: Different associations were found between BMI and substance use. Only RSOD (β = -.053, P = .005) and NMPDU of anxiolytics (β = .040, P = .020) at baseline significantly predicted BMI at follow-up. Baseline RSOD predicted a lower BMI at follow-up, whereas baseline NMPDU of anxiolytics predicted higher BMI at follow-up. Furthermore, BMI at baseline significantly predicted daily smoking (β = .050, P = .007) and hazardous cannabis use (β = .058, P = .030)., Conclusions: These results suggest different associations between BMI and the use of various substances by young men. However, only RSOD and NMPDU of anxiolytics predicted BMI, whereas BMI predicted daily smoking and hazardous cannabis use.

Introduction: With the ageing of the population and the general improvement of care, an increasing number of people are living with multiple chronic health conditions or 'multimorbidity'. Multimorbidity often implies multiple medical treatments. As a consequence, the risk of adverse events and the time spent by patients for their treatments increase exponentially. In many cases, treatment guidelines traditionally defined for single conditions are not easily applicable. Primary care for individuals with multimorbidity requires complex patient-centred care and good communication between the patient and the general practitioner (GP). This often includes prioritising among the different chronic conditions., Methods and Analysis: The main objectives of this study are to describe the burden related to multimorbidity (disease-related burden and burden of treatment) in primary care and to identify the factors influencing it. Other objectives include evaluating patients' perception of treatment burden and quality of life, assessing factors influencing that perception, and investigating prioritisation in the management of multimorbidity from the perspectives of GPs and patients. For this cross-sectional study, patient enrolment will take place in GP's private practices across Switzerland. A convenient sample of 100 GPs will participate; overall, 1000 patients with at least three chronic health conditions will be enrolled. Data will be collected as paper-based questionnaires for GPs and delayed telephone interview questionnaires for patients. GPs will provide demographic and practice-related data. In addition, each GP will complete a paper-based questionnaire for each patient that they enrol. Each patient will complete a telephone interview questionnaire., Ethics and Dissemination: This study has been approved by the research ethics committee of Canton Vaud, Switzerland (Protocol 315/14). The results of the study will be reported in international peer-reviewed journals., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Background: Alcohol consumption--in particular drinking volume (DV) and risky single occasion drinking (RSOD)--has been related to a wide range of negative consequences and health problems. Previous studies also suggested that drinking in certain locations may be more strongly associated with the occurrence of alcohol-related harm than drinking in others. However, they were conducted in countries culturally and legally different from European countries and were limited to cross-sectional designs. This study investigates the cross-sectional and longitudinal associations of alcohol-related harm with DVs in different locations in a sample of young Swiss men., Methods: A representative sample of 4536 young Swiss male drinkers completed baseline and 15-month follow-up questionnaires. These assessed DVs in 11 locations, alcohol-related harm (i.e. number of alcohol-related consequences and alcohol use disorder criteria) and frequency of RSOD. Cross-sectional and longitudinal associations of alcohol-related harm with DVs in each location were tested using regression models, with and without adjustment for frequency of RSOD., Results: Both cross-sectional and longitudinal analyses showed significant positive associations between alcohol-related harm and DVs at friends' homes, in discos/nightclubs and in outdoor public places, when controlling for frequency of RSOD. In contrast, the contribution of DVs at one's own home and in restaurants was consistently not significant when adjusted for frequency of RSOD. When controlling for RSOD, associations between alcohol-related harm and DVs in bars/pubs, when playing sports, during other leisure activities, at cinemas/theatres, during sporting events, and during special events were not consistent between cross-sectional and longitudinal analyses., Conclusion: Results suggest that prevention interventions should not only target reducing the overall volume of alcohol consumed and the frequency of RSOD in general, but they should additionally focus on limiting alcohol consumption in outdoor public places, discos/nightclubs, and in friends' homes in particular, or at least on preventing harm occurring in these occasions., (Copyright © 2014 Elsevier B.V. All rights reserved.)

Aim: To investigate the relationships between six classes of non-medical prescription drug use (NMPDU) and five personality traits., Methods: Representative baseline data on 5777 Swiss men around 20 years old were taken from the Cohort Study on Substance Use Risk Factors. NMPDU of opioid analgesics, sedatives/sleeping pills, anxiolytics, antidepressants, beta-blockers and stimulants over the previous 12 months was measured. Personality was assessed using the Brief Sensation Seeking Scale; attention deficit-hyperactivity (ADH) using the Adult Attention-Deficit-Hyperactivity Disorder Self-Report Scale; and aggression/hostility, anxiety/neuroticism and sociability using the Zuckerman-Kuhlmann Personality Questionnaire. Logistic regression models for each personality trait were fitted, as were seven multiple logistic regression models predicting each NMPDU adjusting for all personality traits and covariates., Results: Around 10.7% of participants reported NMPDU in the last 12 months, with opioid analgesics most prevalent (6.7%), then sedatives/sleeping pills (3.0%), anxiolytics (2.7%), and stimulants (1.9%). Sensation seeking (SS), ADH, aggression/hostility, and anxiety/neuroticism (but not sociability) were significantly positively associated with at least one drug class (OR varied between 1.24, 95%CI: 1.04-1.48 and 1.86, 95%CI: 1.47-2.35). Aggression/hostility, anxiety/neuroticism and ADH were significantly and positively related to almost all NMPDU. Sociability was inversely related to NMPDU of sedatives/sleeping pills and anxiolytics (OR, 0.70; 95%CI: 0.51-0.96 and OR, 0.64; 95%CI: 0.46-0.90, respectively). SS was related only to stimulant use (OR, 1.74; 95%CI: 1.14-2.65)., Conclusion: People with higher scores for ADH, aggression/hostility and anxiety/neuroticism are at higher risk of NMPDU. Sociability appeared to protect from NMPDU of sedatives/sleeping pills and anxiolytics., (© 2014 The Authors. Psychiatry and Clinical Neurosciences © 2014 Japanese Society of Psychiatry and Neurology.)