Are social pressure, bullying and low social support associated with depressive symptoms, self-harm and self-directed violence among adolescents? A cross-sectional study using a structural equation modeling approach.

BACKGROUND: More in-depth evidence about the complex relationships between different risk factors and mental health among adolescents has been warranted. Thus, the aim of the study was to examine the direct and indirect effects of experiencing social pressure, bullying, and low social support on mental health problems in adolescence. METHODS: A school-based cross-sectional study was conducted in 2022 among 15 823 Norwegian adolescents, aged 13-19 years. Structural Equation Modelling was used to assess the relationships between socioeconomic status, social pressure, bullying, social support, depressive symptoms, self-harm and suicide thoughts. RESULTS: Poor family economy and low parental education were associated with high pressure, low parental support and depressive symptoms in males and females. Moreover, poor family economy was associated with bullying perpetration and bullying victimization among males and females, and cyberbullying victimization among females, but not males. Low parental education was associated with bullying victimization among males, but not females. Further, high social pressure was associated with depressive symptoms among males and females, whereas high social pressure was linked to self-harm and suicide thoughts among females, but not males. Bullying victimization and cyberbullying victimization were associated with depressive symptoms, self-harm, and suicide thoughts among males and females. Bullying victimization was associated with depressive symptoms among males, but not females, whereas bullying perpetration was linked to self-harm and suicide thoughts among females, but not males. Low parental support was associated with bullying perpetration, bullying victimization, depressive symptoms, self-harm and suicide thoughts among males and females, whereas low parental support was associated with high social pressure among females, but not males. Low teacher support was associated with high social pressure and depressive symptoms. Low support from friends was associated with bullying victimization, depressive symptoms and suicide thoughts among males and females, whereas low support from friends was linked to self-harm among males, but not females. Finally, results showed that depressive symptoms were associated with self-harm and suicide thoughts among males and females. CONCLUSION: Low socioeconomic status, social pressure, bullying and low social support were directly and indirectly associated with depressive symptoms and self-directed violence among Norwegian adolescents.

The impact of ambient temperature and air pollution on SARS-CoV2 infection and Post COVID-19 condition in Belgium (2021-2022).

INTRODUCTION: The associations between non-optimal ambient temperature, air pollution and SARS-CoV-2 infection and post COVID-19 condition (PCC) remain constrained in current understanding. We conducted a retrospective analysis to explore how ambient temperature affected SARS-CoV-2 infection in individuals who later developed PCC compared to those who did not. We investigated if these associations were modified by air pollution. METHODS: We conducted a bidirectional time-stratified case-crossover study among individuals who tested positive for SARS-CoV-2 between May 2021 and June 2022. We included 6302 infections, with 2850 PCC cases. We used conditional logistic regression and distributed lag non-linear models to obtain odds ratios (OR) and 95% confidence intervals (CI) for non-optimal temperatures relative to the period median temperature (10.6 °C) on lags 0 to 5. For effect modification, daily average PM2.5 concentrations were categorized using the period median concentration (8.8 µg/m3). Z-tests were used to compare the results by PCC status and PM2.5. RESULTS: Non-optimal cold temperatures increased the cumulative odds of infection (OR = 1.93; 95%CI:1.67-2.23, OR = 3.53; 95%CI:2.72-4.58, for moderate and extreme cold, respectively), with the strongest associations observed for non-PCC cases. Non-optimal heat temperatures decreased the odds of infection except for moderate heat among PCC cases (OR = 1.32; 95%CI:0.89-1.96). When PM2.5 was >8.8 µg/m3, the associations with cold were stronger, and moderate heat doubled the odds of infection with later development of PCC (OR = 2.18; 95%CI:1.01-4.69). When PM2.5 was ≤8.8 µg/m3, exposure to non-optimal temperatures reduced the odds of infection. CONCLUSION: Exposure to cold increases SARS-CoV2 risk, especially on days with moderate to high air pollution. Heated temperatures and moderate to high air pollution during infection may cause PCC. These findings stress the need for mitigation and adaptation strategies for climate change to reduce increasing trends in the frequency of weather extremes that have consequences on air pollution concentrations.

Association between SARS-CoV-2 variants and post COVID-19 condition: findings from a longitudinal cohort study in the Belgian adult population.

BACKGROUND: While many studies on the determinants of post-COVID-19 conditions (PCC) have been conducted, little is known about the relationship between SARS-CoV-2 variants and PCC. This study aimed to assess the association between different SARS-CoV-2 variants and the probability of having PCC three months after the infection. METHODS: This study was a longitudinal cohort study conducted between April 2021 and September 2022 in Belgium. In total, 8,238 adults with a confirmed SARS-CoV-2 infection were followed up between the time of their infection and three months later. The primary outcomes were the PCC status three months post infection and seven PCC symptoms categories (neurocognitive, autonomic, gastrointestinal, respiratory, musculoskeletal, anosmia and/or dysgeusia, and other manifestations). The main exposure variable was the type of SARS-CoV-2 variants (i.e. Alpha, Delta, and Omicron), extracted from national surveillance data. The association between the different SARS-CoV-2 variants and PCC as well as PCC symptoms categories was assessed using multivariable logistic regression. RESULTS: The proportion of PCC among participants infected during the Alpha, Delta, and Omicron-dominant periods was significantly different and respectively 50%, 50%, and 37%. Participants infected during the Alpha- and Delta-dominant periods had a significantly higher odds of having PCC than those infected during the Omicron-dominant period (OR = 1.61, 95% confidence interval [CI] = 1.33-1.96 and OR = 1.73, 95%CI = 1.54-1.93, respectively). Participants infected during the Alpha and Delta-dominant periods were more likely to report neurocognitive, respiratory, and anosmia/dysgeusia symptoms of PCC. CONCLUSIONS: People infected during the Alpha- and Delta-dominant periods had a higher probability of having PCC three months after infection than those infected during the Omicron-dominant period. The lower probability of PCC with the Omicron variant must also be interpreted in absolute figures. Indeed, the number of infections with the Omicron variant being higher than with the Alpha and Delta variants, it is possible that the overall prevalence of PCC in the population increases, even if the probability of having a PCC decreases.

A proposal for further developing fatigue-related post COVID-19 health states for burden of disease studies.

Previous efforts to estimate the burden of fatigue-related symptoms due to long COVID have a very high threshold for inclusion of cases, relative to the proposed definition from the World Health Organization. In practice this means that milder cases, that may be occurring very frequently, are not included in estimates of the burden of long COVID which will result in underestimation. A more comprehensive approach to modelling the disease burden from long COVID, in relation to fatigue, can ensure that we do not only focus on what is easiest to measure; which risks losing focus of less severe health states that may be more difficult to measure but are occurring very frequently. Our proposed approach provides a means to better understand the scale of challenge from long COVID, for consideration when preventative and mitigative action is being planned.

Classification of post COVID-19 condition symptoms: a longitudinal study in the Belgian population.

OBJECTIVES: Since the onset of the COVID-19 pandemic, most research has focused on its acute pathophysiology, yet some people tend to experience persisting symptoms beyond the acute phase of infection, referred to as post COVID-19 condition (PCC). However, evidence on PCC is still scarce. This study aimed to assess the distribution, classification of symptoms and associated factors of PCC in adults. DESIGN: Longitudinal online cohort study. SETTING: National study in Belgium. PARTICIPANTS: Participants were Belgian adults with a recent SARS-CoV-2 infection and were recruited when called up for contact tracing. A total of 3039 participants were included and completed an online questionnaire at the time of their infection and again 3 months later. OUTCOME MEASURES: The baseline questionnaire assessed the initial health status of the participants and their status during the acute phase of the infection. The follow-up questionnaire assessed their PCC status 3 months after infection. A latent class analysis (LCA) was performed to assess whether there are different classes of individuals with a similar set of self-reported PCC symptoms. RESULTS: Half of the participants reported PCC 3 months after infection (47%). The most frequent symptoms were fatigue (21%), headache (11%) and memory problems (10%). The LCA highlighted three different classes of PCC symptoms with different risk factors: (1) a combination of loss of smell and taste, (2) a combination of neurological symptoms and (3) other heterogeneous symptoms. CONCLUSIONS: With the increasing number of people who underwent COVID-19, PCC has become an important but complex public health problem due to the heterogeneity of its symptoms. The classification of symptoms performed in this study can help give insight into different aetiologies of PCC and better plan care according to the symptoms and needs of those affected.

The direct disease burden of COVID-19 in Belgium in 2020 and 2021.

BACKGROUND: Burden of disease estimates have become important population health metrics over the past decade to measure losses in health. In Belgium, the disease burden caused by COVID-19 has not yet been estimated, although COVID-19 has emerged as one of the most important diseases. Therefore, the current study aims to estimate the direct COVID-19 burden in Belgium, observed despite policy interventions, during 2020 and 2021, and compare it to the burden from other causes. METHODS: Disability-adjusted life years (DALYs) are the sum of Years Lived with Disability (YLDs) and Years of Life Lost (YLLs) due to disease. DALYs allow comparing the burden of disease between countries, diseases, and over time. We used the European Burden of Disease Network consensus disease model for COVID-19 to estimate DALYs related to COVID-19. Estimates of person-years for (a) acute non-fatal disease states were calculated from a compartmental model, using Belgian seroprevalence, social contact, hospital, and intensive care admission data, (b) deaths were sourced from the national COVID-19 mortality surveillance, and (c) chronic post-acute disease states were derived from a Belgian cohort study. RESULTS: In 2020, the total number of COVID-19 related DALYs was estimated at 253,577 [252,541 - 254,739], which is higher than in 2021, when it was 139,281 [136,704 - 142,306]. The observed COVID-19 burden was largely borne by the elderly, and over 90% of the burden was attributable to premature mortality (i.e., YLLs). In younger people, morbidity (i.e., YLD) contributed relatively more to the DALYs, especially in 2021, when vaccination was rolled out. Morbidity was mainly attributable to long-lasting post-acute symptoms. CONCLUSION: COVID-19 had a substantial impact on population health in Belgium, especially in 2020, when COVID-19 would have been the main cause of disease burden if all other causes had maintained their 2019 level.

Mental health among people with a migration background in Belgium over the past 20 years: how has the situation evolved?

BACKGROUND: Poor mental health is highly stigmatized and stereotyped, even more when it comes to migrant and ethnic minority groups (MEM). Belgium, which has a long history of immigration, is a good case study for analysing how the prevalence of mental illness (MI) has evolved over time and how such evolution had differed between MEM. This paper seeks to explore the prevalence of MI and potential inequalities among MEM compared to native Belgians between 1997 and 2018, shedding light on this important issue. METHODS: The data set is composed of the six cross-sectional waves of the Belgian Health Interview Survey from 1997 to 2018. The 12-item General Health Questionnaire was used to assess the average level of mental health and the prevalence of MI (score ≥ 4) among five major MEM groups in Belgium (Belgian, Moroccan, Turkish, European migrants, and non-European migrants). Multivariate logistic and linear regression models were used to assess the likelihood of having a MI in the different MEM groups and survey years. The minimal clinically important difference (MID) was also calculated for the severity of MI. RESULTS: After controlling for socioeconomic status, the average marginal effect indicated a decrease in mental health among Moroccans and Turks in Belgium between 1997 and 2018, compared to Belgians. This result was confirmed by the Chi²-test, which showed that Turkish (χ²=17.75, p < 0.001) and Moroccans respondents (χ²=4.19, p < 0.04) had a higher overall level of mental distress than Belgians. Furthermore, in 2018, even after adjusting for age, sex and education level, having a mother born in a non-EU country increased the risk of mental illness. CONCLUSIONS: Mental health inequalities between migrant and ethnic groups are on the rise in Belgium. To address this issue, particular attention should be given to the Moroccan and Turkish background populations. Specific interventions and policies must be implemented to prevent the increase of psychological distress among migrants and ethnic minorities, on the one hand, and ensure that high-quality mental health care is accessible to all, regardless of ethnicity, on the other hand. Additionally, we recommend that future research on ethnic mental healthcare includes better data collection on the country of birth of respondents and their parents.

Post COVID-19 condition and health-related quality of life: a longitudinal cohort study in the Belgian adult population.

BACKGROUND: Since the onset of the COVID-19 pandemic, most research has focused on the acute phase of COVID-19, yet some people experience symptoms beyond, referred to as post COVID-19 conditions (PCC). However, evidence on PCC and its impacts on health-related quality of life (HRQoL) is still scarce. This study aimed to assess the impact of COVID-19 and PCC on HRQoL. METHODS: This is a longitudinal cohort study of the Belgian adult population with recent SARS-CoV-2 infection. In total, 5,727 people were followed up between the time of their infection and three months later. HRQoL was measured with the EQ-5D-5L questionnaire before and during the infection and three months later. Linear mixed regression models were built to assess the longitudinal association between participants' characteristics and the evolution of their HRQoL. RESULTS: This study found a significant decline in HRQoL during the SARS-CoV-2 infection in comparison to the situation before (ß=-9.91, 95%CI=-10.13;-9.85), but no clinically important difference three months after the infection compared to the situation before, except among people reporting PCC (ß=-11.15, 95%CI=-11.72;-10.51). The main symptoms of PCC with a significant negative impact on the different dimensions of HRQoL were fatigue/exhaustion (21%), headache (11%), memory problems (10%), shortness of breath (9%), and joint (7%) or muscle pain (6%). The dimension of HRQoL most negatively affected by several PCC symptoms was pain/discomfort. CONCLUSIONS: With the growing number of people infected with SARS-CoV-2, PCC and its impact on HRQoL are becoming important public health issues. To allow people with PCC to recover and to limit its detrimental impact on HRQoL, it is essential to manage its various heterogeneous symptoms using a multidisciplinary approach.

Coping with COVID: risk and resilience factors for mental health in a German representative panel study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare. METHODS: In a stratified random sample of the German household population (n = 6684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors assessed between 2015 and 2020 with changes in psychological distress [(PD; measured via Patient Health Questionnaire for Depression and Anxiety (PHQ-4)] from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting. RESULTS: PHQ-4 scores in 2020 (M = 2.45) and 2021 (M = 2.21) were elevated compared to 2019 (M = 1.79). Several risk factors (catastrophizing, neuroticism, and asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, and optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes. CONCLUSIONS: We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. A comparison of pre-pandemic data stresses the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussed.

Social integration of people with non-psychotic mental illness over the last 2 decades: the widening gap in the adult population in Belgium.

PURPOSE: Social integration is poor among people with mental illness (MI). In recent decades, many countries have developed policies to address this issue. It remains unclear, however, whether their social integration has improved over time. This study aimed to assess the evolution of the social integration of adults with moderate and severe non-psychotic MI compared to the general population without MI between 1997 and 2018 in Belgium. METHODS: Data on the general adult population were retrieved from the Belgian Health Interview Survey in six cross-sectional waves from 1997 to 2018. Three degrees of non-psychotic MI severity were compared using the 12-items General Health Questionnaire: no MI, moderate MI, and severe MI (score < 4, 4-7, and > 7). Social integration was measured using indicators relating to employment, income, social contacts, and partnership. RESULTS: Since 1997, the probability of being unemployed, having limited social contacts, and living on less than 60% of the median national income has been increasing among people with severe non-psychotic MI. Between 1997 and 2018, social integration increased among the general population without MI and among people with moderate non-psychotic MI, but decreased among people with severe non-psychotic MI. CONCLUSION: The gap between the social integration of people with severe non-psychotic MI and people with moderate or no MI has widened over time, despite major reforms of mental health care and policies. Policymakers and clinical practitioners should pay more attention to supporting the social integration of people with more severe MI, particularly in relation to employability and social support.

Prevalence and factors associated with academic burnout risk among nursing and midwifery students during the COVID-19 pandemic: A cross-sectional study.

AIM: The aim of the study was to assess the prevalence of academic burnout (AB) and its associated factors among nursing and midwifery students during the COVID-19 pandemic. DESIGN: A correlational cross-sectional study. METHODS: An online survey was distributed from November to December 2020 to nursing and midwifery students in Belgium. The risk of AB was assessed using the MBI-SS Academic Burnout Inventory scale. Factors associated with AB were related to the personal life and level of education of the student and to the COVID-19 pandemic. RESULTS: The prevalence of overall AB risk was 50.0% (95% CI 48.5-53.1). Factors significantly associated with higher risk of AB were having a child, having a job, the level of academic training, working overtime, insufficient personal protective equipment against viral contamination during the last internship, work overload due to the pandemic, personal proven or possible SARS-CoV-2 infection and having a relative who died related to COVID-19.

Impact of work arrangements during the COVID-19 pandemic on mental health in France.

•Symptoms of anxiety/depression were found in 28.8% of the participants at least once.•Unemployment and financial difficulties were associated with anxiety/depression.•Targeted mental health support could lessen mental health impact.

Post COVID-19 condition and its physical, mental and social implications: protocol of a 2-year longitudinal cohort study in the Belgian adult population.

BACKGROUND: Since the onset of the COVID-19 pandemic, most research has focused on the pathophysiology and management of the acute symptoms of COVID-19, yet some people tend to experience symptoms beyond the acute phase of infection, that is, Post COVID-19 condition (PCC). However, evidence on the long-term health impacts of a COVID-19 infection are still scarce. The purpose of this paper is to describe the COVIMPACT study, which aims to set up a cohort of people who have been tested positive for COVID-19 and study the evolution of their physical, mental and social health over the medium (3 months) and long term (two years), and the factors associated with an (un)favorable evolution. METHODS: COVIMPACT is a longitudinal cohort study organised over a two-years period between April 2021 and April 2023. The eligible population is all people aged 18 years and older, living in Belgium, with a recent COVID-19 infection and contacted by the health authorities for contact tracing. Two questionnaires are used: a baseline questionnaire that aims to assess the initial health status of the participants and their status during the acute phase of the illness, and a follow-up questionnaire that is sent every three months after participants enter into the cohort. A matched non-COVID-19 control group was also selected. As of November 1, 2021, 10,708 people completed the baseline questionnaire (5% of the eligible population) and the follow-up participation rate was 79%. In total, 48% of the cohort participants appeared to fit the proposed case definition of PCC (i.e. report at least one symptom related to their COVID-19 infection three months afterwards). DISCUSSION: This study was designed to provide timely information on the short and long term impact of a COVID-19 infection, to stakeholders such as policymakers, health practitioners and people with PCC. Although the follow-up participation rate was good (79%), the participation rate of the eligible population was low (5%). Compared to other studies, this study has a large sample, of non-hospitalised and hospitalised people, who will be followed over a long period of 3 months to two years post infection, and with a global approach to their health.

Anxiety and Depression in Belgium during the First 15 Months of the COVID-19 Pandemic: A Longitudinal Study.

The COVID-19 pandemic and policy measures enacted to contain the spread of the coronavirus have had nationwide psychological effects. This study aimed to assess the impact of the first 15 months of the COVID-19 pandemic on the level of anxiety (GAD-7 scale) and depression (PHQ-9 scale) of the Belgian adult population. A longitudinal study was conducted from April 2020 to June 2021, with 1838 respondents participating in 6 online surveys. Linear mixed models were used to model the associations between the predictor variables and the mental health outcomes. Results showed that the prevalence of symptoms of anxiety and depression was higher in times of stricter policy measures. Furthermore, after the initial stress from the outbreak, coping and adjustment were observed in participants, as symptoms of anxiety and depression decreased during times of lower policy restrictions to almost the same level as in pre-COVID times (2018). Though time trends were similar for all population subgroups, higher levels of both anxiety and depression were generally found among women, young people, people with poor social support, extraverts, people having pre-existing psychological problems, and people who were infected/exposed to the COVID-19 virus. Therefore, investment in mental health treatment programs and supports, especially for those risk groups, is crucial.

Determinants of the risk of burnout among nurses during the first wave of the COVID-19 pandemic in Belgium: A cross-sectional study.

AIMS: To estimate the prevalence of burnout risk among nurses during the peak of the first wave of the COVID-19 pandemic in Belgium and to identify risk groups and protective and risk factors. BACKGROUND: Nurses are at high risk of burnout, and this can have negative consequences for them, patients and health care systems. The pandemic may have changed their working conditions and increased their risk of burnout. METHODS: The risk of burnout was assessed through the Maslach Burnout Inventory Scale. Information on socio-demographic and working conditions during the pandemic was also collected. We obtained 4552 respondents through convenience sampling. RESULTS: A high risk of burnout was found in 70% of respondents. The main risk factors of burnout were the lack of personal protective equipment, changes in perceived workload and working with COVID-19 patients. CONCLUSIONS: An uneven workload for nurses is an underlying problem during the COVID-19 pandemic and a significant risk factor for their burnout. The decreased workload is a risk factor for burnout as important as increased workload and repeated exposure to COVID-19. IMPLICATIONS FOR NURSING MANAGEMENT: Burnout prevention and treatment interventions must target the correct risk factors and identify nurses at risk to be cost-effective.

Sufficient personal protective equipment training can reduce COVID-19 related symptoms in healthcare workers: A prospective cohort study.

BACKGROUND: The association between inadequate personal protective equipment during the COVID-19 pandemic and an increased risk of SARS-CoV-2 infection in frontline healthcare workers has been proven. However, frontline healthcare workers with an adequate supply of personal protective equipment still showed an increased risk of contracting COVID-19. Research on the use of personal protective equipment could provide insight into handling present and future pandemics. OBJECTIVES: This study aims to investigate the impact of the availability, training and correct selection of personal protective equipment on the incidence of SARS-CoV-2 infection or positive suspect cases in healthcare workers during the COVID-19 pandemic in Belgium. DESIGN: This was a prospective cohort study involving Belgian healthcare workers: nurses, nursing aides, and midwives working in hospitals, home care services, and residential care services. METHODS: Respondents were invited from May to July 2020 (period 1) followed by a second time in October 2020 (period 2) to complete a digital survey on personal protective equipment availability, training, personal protective equipment selection, screening ability, COVID-19 testing and status, and symptoms corresponding with the COVID-19 suspect case definition. The main outcome was a composite of COVID-19 status change (from negative to positive) during the study or a positive suspect case definition in period 2. RESULTS: Full data were available for 617 participants. The majority of respondents were nurses (93%) employed in a hospital (83%). In total, 379 respondents provided frontline care for COVID-19 patients (61%) and were questioned on personal protective equipment availability and personal protective equipment selection. Nurses were more likely to select the correct personal protective equipment compared with nursing aides and midwives. Respondents working in residential care settings were least likely to choose personal protective equipment correctly. Of all healthcare workers, 10% tested positive for COVID-19 during the course of the study and a composite outcome was reached in 54% of all respondents. Working experience and sufficient personal protective equipment training showed an inverse relation with the composite outcome. The relationship between personal protective equipment availability and the composite outcome was fully mediated by personal protective equipment training (-0.105 [95% confidence interval -0.211 - -0.020]). CONCLUSIONS: Proper training in personal protective equipment usage is critical to reduce the risk of COVID infection in healthcare workers. During a pandemic, rapid dissemination of video guidelines could improve personal protective equipment knowledge in practitioners. Tweetable abstract: Proper training in personal protective equipment usage is critical to reduce the risk of COVID infection in healthcare workers.

Implementation of a computer-assisted face-to-face intervention for mapping the social support networks of patients with severe mental illness in routine clinical practice: Analysis of the appropriateness and acceptability of the intervention.

BACKGROUND: Social support is a key dimension of personal recovery for patients with severe mental disorders. Although clinicians and health professionals should monitor the social support resources of patients in order to provide effective treatment, no specific tool or intervention exist for that purpose. Egonet is a computer-assisted intervention for health and social services that enables the mapping, assessment and fostering of patients' social support networks. AIMS: This paper describes the intervention and evaluates the appropriateness and acceptability of its implementation in a clinical setting. METHOD: We described the computer-assisted intervention. We used a questionnaire to assess how appropriate and acceptable clinicians found a preliminary version to be. We also collected patients' level of satisfaction with their social support networks before and after the intervention and carried out qualitative interviews. RESULTS: Egonet is made up of four components: (1) a computer-assisted interview for mapping social networks, (2) a remote data server, (3) a data-mining module and (4) a customisable reporting tool. Egonet was implemented for 232 patients by 91 clinicians from five services. The intervention was perceived by clinicians as appropriate and useful for clinical practice, although it was noted that considerable effort was required to obtain its benefits. Patients were slightly more satisfied with their social support after the intervention than before, and expressed the opinion that more attention should be paid to the social support network. CONCLUSIONS: EGONET is appropriate and acceptable for use in work related to the social support networks of patients with psychiatric disorders.

Use of generic social services and social integration of patients with a severe mental illness in Belgium: Individual and services network determinants.

BACKGROUND: Patients with severe mental illnesses (SMI) have low levels of social integration, which could be improved if they used social services. To our knowledge, however, the extent to which they use generic social services remains unknown. AIMS: We assessed the extent to which patients with SMI use generic social services and the factors that may drive that usage. METHOD: In 2014, we carried out a multi-setting clustered survey of patients with severe mental disorders (n = 1,019, participation rate = 71%) and of services (n = 517, participation rate = 53%) in 19 networks of services, covering most of Belgium. On the one hand, we asked patients, amongst other, about their health condition, their social integration in the community, and their use of social services of different types. On the other hand, we asked each service to report on its relationships with other services in the services networks. RESULTS: On average, patients' use of generic social services within the previous 6 months was low (6%-16%), with the exception of administrative services. There were few differences in usage according to the severity of patients' symptoms, but some differences according to gender and age were observed. Social integration was improved when generic social services were more central in the networks. CONCLUSIONS: We suggest that generic social services should be more central in mental health services networks.

Prevalence and Associated Factors of Burnout Risk Among Intensive Care and Emergency Nurses Before and During the Coronavirus Disease 2019 Pandemic: A Cross-Sectional Study in Belgium.

INTRODUCTION: This study aimed to assess (1) the prevalence of burnout risk among nurses working in intensive care units and emergency department before and during the coronavirus disease 2019 pandemic and (2) the individual and work-related associated factors. METHODS: Data were collected as part of a cross-sectional study on intensive care unit and emergency nurses in Belgium using 2 self-administered online questionnaires distributed just before the pandemic (January 2020, N = 422) and during the first peak of the pandemic (April 2020, N = 1616). Burnout was assessed with the Maslach Burnout Inventory scale. RESULTS: The overall prevalence of burnout risk was higher among emergency nurses than intensive care unit nurses but was not significantly different after the coronavirus disease 2019 pandemic (from 69.8% to 70.7%, χ²â€¯= 0.15, P = .68), whereas it increased significantly among intensive care unit nurses (from 51.2% to 66.7%, χ²â€¯= 23.64, P < .003). During the pandemic, changes in workload and the lack of personal protective equipment were significantly associated with a higher likelihood of burnout risk, whereas social support from colleagues and from superiors and management were associated with a lower likelihood of burnout risk. Several determinants of burnout risk were different between intensive care unit and emergency nurses. CONCLUSION: Our findings indicate that nurses in intensive care unit and emergency department were at risk of burnout but their experience during the coronavirus disease 2019 pandemic was quite different. Therefore, it is important to implement specific measures for these 2 groups of nurses to prevent and manage their risk of burnout.