Suchergebnisse

As mental disorders impact quality of life and result in high costs for society, it is important patients receive timely and adequate care. This scoping review first aims to summarize which factors contribute to specialized mental health care (SMHC) use. Within the Dutch health care system, the general practitioner (GP) is the filter for SMHC and care use costs are relatively low. Second, to organize factors by Andersen and Newman's care utilization model in illness level, predisposing, and enabling factors. Third, to assess equity of access to SMHC in the Netherlands. A health care system is equitable when illness level and the demographic predisposing factors age and gender account for most variation in care use and inequitable when enabling factors and social predisposing factors such as education predominate. We identified 13 cross-sectional and cohort studies in the Netherlands published between 1970 and September 2020 with 20 assessed factors. Illness level factors, disease severity, diagnosis, personality, and comorbidity contributed the most to SMHC use. Predisposing factors related to a more solitary lifestyle contributed to a lesser degree. Enabling factors income and urbanicity contributed the least to SMHC use. These results imply inequity. Factors that did not fit the care utilization model were GP related, for example the ability to recognize mental disorders. This emphasizes their importance in a system where patients are dependent on GPs for access to SMHC. Focus should be on improving recognition of mental disorders by GPs as well as collaboration with mental health care professionals.

Researchers and politicians have regularly expressed their worries about a widening of socioeconomic inequalities in physical and mental health. Debts have been relatively understudied as a specific aspect of socioeconomic disadvantage contributing to poor mental health. This study examines the bidirectional association between debts and common mental disorders (CMDs) in the adult population of the Netherlands. Data were obtained from the second ('baseline') and third (3-year follow-up) wave of the Netherlands Mental Health Survey and Incidence Study-2, a representative cohort of adults. Questions were asked about debts and difficulty in repaying debts in the past 12 months. The answers were combined into one variable: no debts, easy, difficult, and very difficult to pay back debts. Twelve-month CMDs were assessed with the Composite International Diagnostic Interview version 3.0. Increasing levels of difficulty in repaying debts predicted onset of CMD at follow-up in those without 12-month CMD at baseline, and persistence of CMD at follow-up in those with 12-month CMD at baseline. Conversely, CMD was not linked to onset of debts at follow-up in those without 12-month debts at baseline, but was associated with persistence of difficulty to pay back debts at follow-up in those with 12-month debts at baseline. These associations remained significant after adjustment for baseline sociodemographic variables, negative life events and physical health. Health professionals and debt counsellors should pay more attention to patients' debts and clients' mental health respectively in order to refer those with financial or mental health problems to the appropriate services.

<b><i>Introduction:</i></b> Studies investigating latent alcohol use groups and transitions of these groups over time are scarce, while such knowledge could facilitate efficient use of screening and preventive interventions for groups with a high risk of problematic alcohol use. Therefore, the present study examines the characteristics, transitions, and long-term stability of adult alcohol use groups and explores some of the possible predictors of the transitions. <b><i>Methods:</i></b> Data were used from the baseline, 3-, 6-, and 9-year follow-up waves of the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a representative study of Dutch adults aged 18–64 at baseline (<i>N</i> = 6,646; number of data points: 20,574). Alcohol consumption, alcohol use disorder (AUD), and mental disorders were assessed with the Composite International Diagnostic Interview 3.0. Latent Markov Modelling was used to identify latent groups based on high average alcohol consumption (HAAC) <i>and</i> AUD and to determine transition patterns of people between groups over time (stayers vs. movers). <b><i>Results:</i></b> The best fitting model resulted in four latent groups: one nonproblematic group (91%): <i>no HAAC</i>, <i>no AUD</i>; and three problematic alcohol use groups (9%): <i>HAAC</i>, <i>no AUD</i> (5%); <i>no HAAC</i>, <i>often AUD</i> (3%); and <i>HAAC and AUD</i> (1%). <i>HAAC</i>, <i>no AUD</i> was associated with a high mean age (55 years) and low educational level (41%), and <i>no HAAC</i>, <i>often AUD</i> with high proportions of males (78%) and people with high educational level (46%). Eighty-seven percent of all respondents – mostly people with <i>no HAAC</i>, <i>no AUD</i> – stayed in their original group during the whole 9-year period. Among movers, people in a problematic alcohol use group (HAAC and/or AUD) mostly transitioned to another problematic alcohol use group and not to the nonproblematic alcohol use group (<i>no HAAC</i>, <i>no AUD</i>). Explorative analyses suggested that lack of physical activity possibly plays a role in transitions both from and to problematic alcohol use groups over time. <b><i>Conclusion:</i></b> The detection of three problematic alcohol use groups – with transitions mostly between the different problematic alcohol use groups and not to the group without alcohol problems – points to the need to explicitly address both alcohol consumption and alcohol-related problems (AUD criteria) in screening measures and interventions in order not to miss and to adequately treat all problematic alcohol users. Moreover, explorative findings suggest that prevention measures should also include physical activity.

Abstract. Background: Outreach psychiatric emergency services play an important role in all stages of a suicidal crisis; however, empirical assessment data are scarce. This study describes characteristics of patients assessed by these services and involved in suicidal crises. Method: During a 5-year period, detailed information from psychiatric emergency service assessments was recorded; 14,705 assessments were included. Characteristics of patients with/without suicidal behavior and with/without suicide attempts were compared. Outcomes were adjusted for clustering of features within individual patients. Results: Suicidal behavior was assessed in 32.2% of patients, of whom 9.2% attempted suicide. Suicidal behavior was most commonly associated with depression or adjustment disorder and these patients were referred to the service by a general practitioner or a general hospital, whereas those who attempted suicide were less likely to be referred by a general practitioner. Those who attempted suicide were more likely to be female and have had a referral by a general hospital. Self-poisoning by medication was the most common method of attempting suicide. Limitations: Bias could be due to missed or incomplete assessments. Primary diagnoses were based on clinical observation at the time of the assessment or on the primary diagnosis previously recorded. In addition, suicidal behavior or attempted suicide might have been underestimated. Conclusions: Suicidal behavior is commonplace in assessments by psychiatric emergency services. Suicidal patients with/without a suicide attempt differed with respect to demographic features, primary diagnoses, and referring entities, but not with respect to treatment policy. About 40% of the suicidal patients with/without an attempt were admitted following assessment.

Previous research shows that crises can have both negative and positive mental health effects on the population. The current study explored these effects in the context of the COVID-19 pandemic after relaxation of governmental measures. An online survey was administered among a representative sample of the Dutch population (n = 1519) in June 2020, ten weeks after the peak of COVID-19 had passed, and five weeks after restrictions were relaxed. Participants were asked about mental health, adverse events during COVID-19, and about any positive effects of the pandemic. Most participants (80%, n = 1207) reported no change in mental health since the COVID-19 pandemic. This was also the case among respondents who had experienced an adverse event. Protective factors of mental health were being male and high levels of positive mental well-being. Risk factors were emotional loneliness and the experience of adverse life events. Social loneliness was positively associated with stable mental health, stressing the importance of meaningful relationships. Note that 58% of participants reported positive effects of the pandemic, the most common of which were rest, working from home, and feeling more socially connected. In summary, 10 weeks after the start of the crisis, and 5 weeks after relaxation of the restrictions, most people remained stable during the crisis, and were even able to report positive effects.