Impact of a day hospital facility on type and length of hospital stay: a cost-effectiveness analysis

We evaluated whether participation in rehabilitation activities carried out at the Community Mental Health Center (CMHC) of Castelfranco Emilia (Modena, Italy) is associated with an improvement in relevant clinical outcomes measures. Also, we performed a cost-effectiveness analysis to estimate any reduction in admission costs related to the intervention.d female patients, aged ≥18, from the caseload ofthe CMHC of Castelfranco Emilia. The study was approved by the Local Ethical Committee of the Province of Modena and by the Local Health Agency of Modena. The sample was divided into two groups. The firstgroup was made up of patients attending the day hospital facility between January 1, 2008 and December 31, 2017. This group was compared with a non-experimental control group, made up of patients that did not attend the day hospital facility in the same period. Statistical analysis was performed by means of linear and logistic regressions, both univariate and multivariate. Also, Student’s t-test and Wilcoxon-Mann-Whitney’s Test were used, when appropriate.The sample was made up of 126 users (women: 57%),61 attending and 65 not attending the day hospital facility. Mean age was 49±14 years. The most common diagnoses were schizophrenic spectrum disorders (57%) and mood disorders (20%). The statistical analysis showed a reduction in the number of admissions in patients who attended the day hospital facility (z=2.79, P<0.01). By comparing attending and not attending patients, increased odds of voluntary admissions were noticeable among the former at the 10% significance level (OR=2.49, P=0.07). Compulsory admissions were more common in the control group rather than among patients attending the day hospital facility (38% vs. 19%, P=0.05). Also, though not confirmed at the multiple regression analysis, a trend towards an increase of the use of non-scheduled interventions and a reduction in the number of days as inpatients were noticeable among patients attending the day hospital facility. As far as the cost-effectiveness analysis is concerned, the estimated reduction in hospitalization costs was € 56.135 over 10 year

Efficacy of animal assisted therapy on people with mental disorders: an update on the evidence

INTRODUCTION: Animal assisted therapy (AAT) is a structured form of animal assisted intervention (AAI), which specifically adopts animals in healthcare services and education facilities, to achieve therapeutic goals. Although such interventions are widely used, nowadays, evidence supporting them is still largely lacking. A previously published review of the literature highlighted some promising effects of AAT on people presenting psychiatric disorders, though the quality of the studies included was generally low. In order to provide an update of recent evidence, the aim of this study was to systematically review randomized controlled trials (RCTs) published since 2000, involving people affected by mental disorders and receiving AAT. EVIDENCE ACQUISITION: The following databases were searched: CINHAL, EBSCO Psychology and Behavioural Science Collection, PubMed and Web of Science. 115 papers were obtained and screened: 28 were from CINHAL, PsycINFO and Psychology and Behavioural Science Collection altogether, 15 from PubMed and 72 from Web of Science. In addition to this, grey literature and references of already published reviews and meta-analyses on the topic were searched, resulting in the addition of 6 further articles. After screening, 10 RCTs were included in this review. EVIDENCE SYNTHESIS: Studies involving outpatients were more frequent than those involving inpatients; sample size was generally low. The majority of studies adopted scales routinely used in clinical trials, with a good level of validity and reliability. Five out of ten studies reported significant differences in the main outcomes favouring AAT. Most of the studies did not include any follow-up; yet, where prospective data were available, the benefits of AAT appeared long lasting. Drop-out rates were higher in studies involving outpatients. However, the only trial which enrolled both inpatients and outpatients showed a higher drop-out rate among the inpatients group, possibly due to their more severe psychopathology. CONCLUSIONS: Though a paucity of available studies partly limits our findings, AAT seems to improve empathy, socialization and communication, and to favour therapeutic alliance among patients who have difficulties with therapeutic programs adherence. AAT appears to be a feasible and well-received intervention, potentially with few or no side effects reported. However there is a need for further studies with larger sample sizes and high-quality research standards

Machine-Learning for Prescription Patterns: Random Forest in the Prediction of Dose and Number of Antipsychotics Prescribed to People with Schizophrenia

Objective: We aimed to predict antipsychotic prescription patterns for people with schizophrenia using machine learning (ML) algorithms.Methods: In a cross-sectional design, a sample of community mental health service users (SUs; n = 368) with a primary diagnosis of schizophrenia was randomly selected. Socio-demographic and clinical features, including the number, total dose, and route of administration of the antipsychotic treatment were recorded. Information about the number and the length of psychiatric hospitalization was retrieved. Ordinary Least Square (OLS) regression and ML algorithms (i.e., random forest [RF], supported vector machine, K-nearest neighborhood, and Naive Bayes) were used to estimate the predictors of total antipsychotic dosage and prescription of antipsychotic polytherapy (APP).Results: The strongest predictor of the total dose was APP. The number of Community Mental Health Centers (CMHC) contacts was the most important predictor of APP and, with APP omitted, of dosage. Treatment with anticholinergics predicted APP, emphasizing the strong correlation between APP and higher antipsychotic dose. RF performed better than OLS regression and the other ML algorithms in predicting both antipsychotic dose (root square mean error = 0.70, R-2 = 0.31) and APP (area under the receiving operator curve = 0.66, true positive rate = 0.41, and true negative rate = 0.78).Conclusion: APP is associated with the prescription of higher total doses of antipsychotics. Frequent attenders at CMHCs, and SUs recently hospitalized are often treated with APP and higher doses of antipsychotics. Future prospective studies incorporating standardized clinical assessments for both psychopathological severity and treatment efficacy are needed to confirm these findings

Post-traumatic stress disorder among LGBTQ people: a systematic review and meta-analysis

Aims: Lesbian, gay, bisexual, transgender and queer people (LGBTQ) are at increased risk of traumatization. This systematic review aimed to summarize data regarding the risk of post-traumatic stress disorder (PTSD) for LGBTQ people and their subgroups. Methods: Medline, Scopus, PsycINFO and EMBASE were searched until September 2022. Studies reporting a comparative estimation of PTSD among LGBTQ population and the general population (i.e., heterosexual/cisgender), without restrictions on participants' age and setting for the enrolment, were identified. Meta-analyses were based on odds ratio (OR and 95% confidence intervals [CI]), estimated through inverse variance models with random effects. Results: The review process led to the selection of 27 studies, involving a total of 31,903 LGBTQ people and 273,842 controls, which were included in the quantitative synthesis. Overall, LGBTQ people showed an increased risk of PTSD (OR: 2.20 [95% CI: 1.85; 2.60]), although there was evidence of marked heterogeneity in the estimate (I2&nbsp;=&nbsp;91%). Among LGBTQ subgroups, transgender people showed the highest risk of PTSD (OR: 2.52 [95% CI: 2.22; 2.87]) followed by bisexual people (OR: 2.44 [95% CI: 1.05; 5.66]), although these comparisons are limited by the lack of data for other sexual and gender minorities, such as intersex people. Interestingly, the risk of PTSD for bisexual people was confirmed also considering lesbian and gay as control group (OR: 1.44 [95% CI: 1.07; 1.93]). The quality of the evidence was low. Conclusions: LGBTQ people are at higher risk of PTSD compared with their cisgender/heterosexual peers. This evidence may contribute to the public awareness on LGBTQ mental health needs and suggest supportive strategies as well as preventive interventions (e.g., supportive programs, counselling, and destigmatizing efforts) as parts of a tailored health-care planning aimed to reduce psychiatric morbidity in this at-risk population

Recovery from Posttraumatic Stress Symptoms: A Qualitative Study of Attributions in Survivors of War

This study was funded by a grant from the European Commission, contract number INCO-CT-2004-50917

Childhood maltreatment mediates the effect of the genetic background on psychosis risk in young adults

Childhood maltreatment (CM) and genetic vulnerability are both risk factors for psychosis, but the relations between them are not fully understood. Guided by the recent identification of genetic risk to CM, this study investigates the hypothesis that genetic risk to schizophrenia also increases the risk of CM and thus impacts psychosis risk. The relationship between schizophrenia polygenetic risk, CM, and psychotic-like experiences (PLE) was investigated in participants from the Utrecht Cannabis Cohort (N = 1262) and replicated in the independent IMAGEN cohort (N = 1740). Schizophrenia polygenic risk score (SZ-PRS) were calculated from the most recent GWAS. The relationship between CM, PRS, and PLE was first investigated using multivariate linear regression. Next, mediation of CM in the pathway linking SZ-PRS and PLE was examined by structural equation modeling, while adjusting for a set of potential mediators including cannabis use, smoking, and neuroticism. In agreement with previous studies, PLE were strongly associated with SZ-PRS (B = 0.190, p = 0.009) and CM (B = 0.575, p &lt; 0.001). Novel was that CM was also significantly associated with SZ-PRS (B = 0.171, p = 0.001), and substantially mediated the effects of SZ-PRS on PLE (proportion mediated = 29.9%, p = 0.001). In the replication cohort, the analyses yielded similar results, confirming equally strong mediation by CM (proportion mediated = 34.7%, p = 0.009). Our results suggest that CM acts as a mediator in the causal pathway linking SZ-PRS and psychosis risk. These findings open new perspectives on the relations between genetic and environmental risks and warrant further studies into potential interventions to reduce psychosis risk in vulnerable people

Childhood maltreatment mediates the effect of the genetic background on psychosis risk in young adults

Childhood maltreatment (CM) and genetic vulnerability are both risk factors for psychosis, but the relations between them are not fully understood. Guided by the recent identification of genetic risk to CM, this study investigates the hypothesis that genetic risk to schizophrenia also increases the risk of CM and thus impacts psychosis risk. The relationship between schizophrenia polygenetic risk, CM, and psychotic-like experiences (PLE) was investigated in participants from the Utrecht Cannabis Cohort (N = 1262) and replicated in the independent IMAGEN cohort (N = 1740). Schizophrenia polygenic risk score (SZ-PRS) were calculated from the most recent GWAS. The relationship between CM, PRS, and PLE was first investigated using multivariate linear regression. Next, mediation of CM in the pathway linking SZ-PRS and PLE was examined by structural equation modeling, while adjusting for a set of potential mediators including cannabis use, smoking, and neuroticism. In agreement with previous studies, PLE were strongly associated with SZ-PRS (B = 0.190, p = 0.009) and CM (B = 0.575, p