Since the emergence of the recent Coronavirus Disease of 2019 (COVID-19) and its spread as a pandemic, there has been a parallel spread of false and misleading information, known as an infodemic. The COVID-19 infodemic has induced distrust in scientific communities, governments, institutions and the population, and a confidence crisis that has led to harmful health behaviours, also impacting on mental health. The aim of this study is to provide a scoping review of the scientific literature about COVID-19-related misinformation and conspiracy theories, focusing on the construction of a conceptual framework which is useful for the interpretation of the conspiracy theory phenomenon surrounding COVID-19, and its consequences. Particular socio-environmental conditions (i.e., low educational level, younger age), psychological processes and attitudes (such as low levels of epistemic trust, the avoidance of uncertainty, extraversion, collective narcissism, and a conspiracy-prone mindset), and contextual factors (e.g., high levels of self-perceived risk and anxiety) seem to underpin the adherence to beliefs that are not solely the domain of paranoids and extremists but a widespread phenomenon that has caused important health, social and political consequences.
Background The COVID-19 pandemic has had a disproportionately hard impact on refugees and other migrants who are often exposed to the virus with limited means to protect themselves. We tested the hypothesis that during the COVID-19 pandemic, refugees and other migrants have suffered a negative impact on mental health and have been unjustly discriminated for spreading the disease in Europe (data collection from April to November 2020). Methods Participants in the ApartTogether Survey (N = 8297, after listwise deletion of missing items final N = 3940) provided data regarding to their difficulties to adhere to preventive recommendations against COVID-19 infection (CARE), self-perceived stigmatization (SS), and psychological distress (PD). Structural Equation Modeling was used to investigate PD as a mediator in the pathway linking CARE to SS, while adjusting for the housing and residence status. To improve confidence in the findings, single hold-out sample cross-validation was performed using a train/test split ratio of 0.8/0.2. Results In the exploratory set (N = 3159) SS was associated with both CARE (B = 0.200, p < 0.001) and PD (B = 0.455, p < 0.001). Moreover, PD was also associated with CARE (B = 0.094, p = 0.001) and mediated the effect of CARE on SS (proportion mediated = 17.7%, p = 0.001). The results were successfully replicated in the confirmation set (N = 781; total effect = 0.417, p < 0.001; proportion mediated = 29.7%, p < 0.001). Follow-up analyses also found evidence for an opposite effect (i.e., from SS to CARE, B = 0.132; p < 0.001), suggesting that there might be a vicious circle between the self-perceived stigmatization and the access to health care and the use of preventive measures against COVID-19 infection. Conclusions Refugees and other migrants who had more difficulties in accessing health care and preventive measures against COVID-19 infection experienced worse mental health and increased discrimination. These negative effects appeared to be stronger for those with more insecure housing and residence status, highlighting from one side the specific risk of insecure housing in the impact of COVID-19 upon mental health and infection protection, and for another side the need to proper housing as a strategy to prevent both COVID-19 and mental distress.
Consultation–liaison psychiatry (CLP) manages psychiatric care for patients admitted to a general hospital (GH) for somatic reasons. We evaluated patterns in psychiatric morbidity, reasons for referral and diagnostic concordance between referring doctors and CL psychiatrists. Referrals over the course of 20 years (2000–2019) made by the CLP Service at Modena GH (Italy) were retrospectively analyzed. Cohen’s kappa statistics were used to estimate the agreement between the diagnoses made by CL psychiatrist and the diagnoses considered by the referring doctors. The analyses covered 18,888 referrals. The most common referral reason was suspicion of depression (n = 4937; 32.3%), followed by agitation (n = 1534; 10.0%). Psychiatric diagnoses were established for 13,883 (73.8%) referrals. Fair agreement was found for depressive disorders (kappa = 0.281) and for delirium (kappa = 0.342), which increased for anxiety comorbid depression (kappa = 0.305) and hyperkinetic delirium (kappa = 0.504). Moderate agreement was found for alcohol or substance abuse (kappa = 0.574). Referring doctors correctly recognized psychiatric conditions due to their exogenous etiology or clear clinical signs; in addition, the presence of positive symptoms (such as panic or agitation) increased diagnostic concordance. Close daily collaboration between CL psychiatrists and GH doctors lead to improvements in the ability to properly detect comorbid psychiatric conditions.
Background Caregivers of patients load different kinds of burdens, including emotional distress. Aims of this study were to evaluate both burden and empathy of caregivers who assist patients with schizophrenia spectrum disorders. Methods We selected a sample of 60 caregivers (34 women and 26 men), who assisted patients with schizophrenia spectrum disorders treated in our local Community Mental Health Center for a 1-year minimum period. We administered two scales to our sample, Zarit Burden Interview (ZBI) and Balanced Emotional Empathy Scale (BEES), and collected data of caregivers and their assisted patients in a 3-month period. Data were statistically analyzed. Results We reported a mean ZBI score of 49.68 (±15.03 SD) and a mean BEES score of 14.35 (±9.05 SD), indicating the perception of moderate-severe burden and low level of empathy, respectively. The analysis of internal consistency confirmed the good reliability of both ZBI (Cronbach’s alpha = 0.90) and BEES (Cronbach’s alpha = 0.77). The correlation between the two scales was not statistically significant at Spearman test. At our multiple linear regression, many variables of both caregiver and patient showed a significant correlation with the ZBI score. In particular, not living with the assisted patient and female gender of caregiver potentially decreased the burden, whereas clinical severity of assisted patient and two caregiver conditions, middle school education and spouse relationship with patient, could worsen the burden. We highlighted two positive statistically significant correlations between the total score of BEES and caregiver characteristics: being spouse and not living with assisted patient. Conclusions Our study highlights that the caregiver burden of patients with severe psychiatric disorders is high and is associated with low emotional empathy experienced by caregivers, probably due to a defensive psychological mechanism. The conditions of spouse and cohabitation can concomitantly increase both empathy and burden in caregivers.
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