Cyberchondria is a clinical entity of excessive and repetitive online health-related searches, associated with health anxiety, obsessive-compulsive symptoms and intolerance of uncertainty. Its relationships with depressive and somatic symptoms have not yet received much attention. The purpose of this study was to examine the individual and comparative effects of several psychopathology constructs on the severity of cyberchondria. Through an online platform, participants (N = 749) completed specific self-report measures assessing the severity of cyberchondria, anxiety, intolerance of uncertainty, depressive, somatic, and obsessive-compulsive symptoms. Standard and hierarchical multiple regression analyses were used to assess how well the independent variables influenced the levels of cyberchondria, before and after controlling for age, education, and sex. When measures of all constructs were included in the analysis, all were significant predictors of cyberchondria levels, except for anxiety. Health anxiety made the strongest contribution. When age, education and sex were controlled for, all measures except for anxiety were also significant predictors of cyberchondria severity. Our study confirms that health anxiety, obsessive-compulsive symptoms and intolerance of uncertainty are all associated with cyberchondria severity, with health anxiety making the strongest unique contribution. Depression and somatic symptoms also predicted cyberchondria severity. These findings have important implications for research and clinical practice.

Purpose: Substance use disorders (SUD) are an important health issue internationally. Traditional outpatient programmes often do not adequately address the substantial medical and social needs and in addition many patients have difficulties accessing the care needed. The assertive community treatment (ACT) model was originally developed for patients with a severe mental illness but has been adapted for patients with SUD by integrating specific SUD treatments into the traditional ACT model. This paper aims to assess the effectiveness of ACT for patients with SUD on a number of measures. Methods: We performed a systematic review of ACT interventions for patients with SUD by analyzing randomized controlled studies published before June 2017 found on the electronic databases PsychINFO, MEDLINE, PsychARTICLES. Eleven publications using 5 datasets were included in the analysis. Quality of studies was analyzed using the JADAD scale or Oxford quality scoring system. Outcome measures used were substance use, treatment engagement, hospitalization rates, quality of life, housing status, medication compliance and legal problems. Patients included in the studies had a diagnosis of SUD. Two datasets included homeless patients and 2 datasets included patients with high service use. Results and Conclusions: The results of the very few existing randomized control studies are mixed. Treatment engagement was higher for ACT in 4 datasets. One dataset reported higher service contact rates for the ACT group than for controls. In 2 datasets a positive effect on hospitalization rates was found. Higher fidelity to the ACT model appears to improve outcomes. Substance use reduced only in half of the datasets, of which only one showed a significant reduction in the ACT group. Overall, ACT is a promising approach that may be useful for promoting treatment engagement for patients with SUD. According to earlier studies on patients with severe mental illness, patients with high inpatient service use benefit most from this assertive approach. We hypothesize that a similar high need user group among patients with SUD might benefit most from ACT. Further research is needed to examine which types of clinical interventions might help difficult-to-engage patients with addictions.

Background: Substance use disorder (SUD) is an important health problem that requires a complex range of care because of the chronic nature of the disorder and the multiple psychosocial problems involved. Current outpatient programs often have difficulties in delivering and coordinating ongoing care and access to different health care providers. Various case management (CM) models have been developed, first for patients in other psychiatric domains and then for patients with SUD, in order to improve treatment outcomes. Aims: This paper aims to assess the effectiveness of CM for patients with SUD. Methods: We performed a systematic review of CM interventions for patients with SUD by analyzing randomized controlled studies published on the subject between 1996 and 2016 found on the electronic database PubMed. Results and Conclusions: Fourteen studies were included in the analysis. Differences between studies in outcome measures, populations included, and intervention characteristics made it difficult to compare results. Most of these studies reported improvement in some of the chosen outcomes. Treatment adherence mostly improved, but substance use was reported to decrease in only a third of the studies. Overall functioning improved in about half of the studies. The heterogeneity of the results might be linked to these differences between studies. Further research is needed in the field.

Objectives: The Convention on the Rights of Persons with Disabilities (CRPD) was adopted at the United Nations Assembly in 2006. The main aim of the convention is to ensure equal rights for people with disabilities including the expression of people’s own “will and preferences” concerning health treatment. Article 12 demands the respect of a person’s “rights, will and preferences” (CRPD) and suggests supported decision making (SDM) when possible. The aim of this review was to gather information regarding the SDM implementation from a clinical perspective for people with mental health disorders. Methods: A systematic literature search was performed on electronic databases MEDLINE, PsycARTICLES, and PsycINFO using the keywords “supported decision making” and “UN convention on the rights of persons with disabilities” in March 2018. Results: Eleven articles were included in the final review, which focussed on three themes: (1) different models of SDM, (2) stakeholder views, and (3) challenges for implementation. A limited number of papers described clinical models that had good theoretical consistency with SDM. The main challenges of implementation related to critical situations when “will and preferences” are poorly understood or appear contradictory. Future studies should assess specific models of SDM implementation, including related outcomes and process measures.

Motives to use cannabis play a central role in the development and maintenance of problematic cannabis use and previous studies stressed sex-related differences on motives to use cannabis. However, motives cannot be validly compared in men and women without first establishing the measurement invariance across sex. Therefore, the aim of the study is to (1) examine for the first time the measurement and structural invariance of the Marijuana Motives Measure (MMM) across sex, and (2) to investigate the motives for cannabis use that best explain problematic use. 2951 (41.7% women) users of the "Stop cannabis" smartphone app of which 99.8% reported having used cannabis in the last three months completed an online MMM and ASSIST to assess the severity of their problematic cannabis use. Multigroup confirmatory factor analyses supported measurement invariance across sex, whereas structural invariance was not confirmed. Indeed, group comparisons indicated that women reported greater coping motives then men whereas men showed greater social motives than women. A multiple linear regression analysis showed that only coping and conformity motives were significantly associated with greater problematic cannabis use, whereas neither sex nor the sex by motives interactions were significantly related to problematic cannabis use. The MMM appears to function comparably across men and women. Therefore, sex-related comparisons on the questionnaire can be considered valid. Coping and conformity motives may play a central role part in the development of marijuana use problems which may hold implications for intervention development and public policy.

Background: This longitudinal study identified risk factors for frequency of hospitalization among patients with any medical condition who had previously visited one of six Quebec (Canada) emergency departments (ED) at least once for mental health (MH) conditions as the primary diagnosis. Methods: Records of n = 11,367 patients were investigated using administrative databanks (2012–13/2014–15). Hospitalization rates in the 12 months after a first ED visit in 2014–15 were categorized as no hospitalizations (0 times), moderate hospitalizations (1–2 times), and frequent hospitalizations (3+ times). Based on the Andersen Behavioral Model, data on risk factors were gathered for the 2 years prior to the first visit in 2014–15, and were identified as predisposing, enabling or needs factors. They were tested using a hierarchical multinomial logistic regression according to the three groups of hospitalization rate. Results: Enabling factors accounted for the largest percentage of total variance explained in the study model, followed by needs and predisposing factors. Co-occurring mental disorders (MD)/substance-related disorders (SRD), alcohol-related disorders, depressive disorders, frequency of consultations with outpatient psychiatrists, prior ED visits for any medical condition and number of physicians consulted in specialized care, were risk factors for both moderate and frequent hospitalizations. Schizophrenia spectrum and other psychotic disorders, bipolar disorders, and age (except 12–17 years) were risk factors for moderate hospitalizations, while higher numbers (4+) of overall interventions in local community health service centers were a risk factor for frequent hospitalizations only. Patients with personality disorders, drug-related disorders, suicidal behaviors, and those who visited a psychiatric ED integrated with a general ED in a separate site, or who visited a general ED without psychiatric services were also less likely to be hospitalized. Less urgent and non-urgent illness acuity prevented moderate hospitalizations only. Conclusions: Patients with severe and complex health conditions, and higher numbers of both prior outpatient psychiatrist consultations and ED visits for medical conditions had more moderate and frequent hospitalizations as compared with non-hospitalized patients. Patients at risk for frequent hospitalizations were more vulnerable overall and had important biopsychosocial problems. Improved primary care and integrated outpatient services may prevent post-ED hospitalization.