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The purpose of this study is to evaluate the effectiveness of an online psychological support group on patients with coronavirus disease 2019 (COVID-19) in a Thai field hospital.

A prospective controlled trial was conducted at a Thai field hospital and included patients with confirmed COVID-19 who were over the age of 18 and able to use an online communication application. Patients were free to decide whether to participate in the online group. The group provided a space for participants to communicate with each other and a mental health service team. The everyday activities were designed to enable group support via texting or livestreaming through the LINE application. Psychoeducation via video clips or articles regarding stress management were provided. Outcomes were measured by an online self-reported questionnaire based on the twenty-one-item Depression, Anxiety and Stress Scale (DASS-21) on the first and fourteenth day of admission to the field hospital.

Forty-six patients participated in this study. Forty participants completed the secondary assessment, with 21 in the intervention group and 19 in the control group. From multilevel mixed-effects regression analysis, adjusted for gender, age and education, participation in the intervention group significantly decreased total DASS scores and anxiety subdomain scores compared to those in the control group (p = 0.038 and 0.008).

The online psychological support group offered benefits for patients with COVID-19 who were isolated in the field hospital. It could be an effective alternative measure to distribute psychological care during a pandemic situation. However, a small sample size was a limitation of this study.

This study aims to develop a clinical prediction rule for the diagnosis of autistic spectrum disorder (ASD) in children.

This population-based study was carried out in children aged 2 to 5 years who were suspected of having ASD. Data regarding demographics, risk factors, histories taken from caregivers and clinical observation of ASD symptoms were recorded before specialists assessed patients using standardized diagnostic tools. The predictors were analyzed by multivariate logistic regression analysis and developed into a predictive model.

An ASD diagnosis was rendered in 74.8 per cent of 139 participants. The clinical prediction rule consisted of five predictors, namely, delayed speech for their age, history of rarely making eye contact or looking at faces, history of not showing off toys or favorite things, not following clinician’s eye direction and low frequency of social interaction with the clinician or the caregiver. At four or more predictors, sensitivity was 100 per cent for predicting a diagnosis of ASD, with a positive likelihood ratio of 16.62.

This practical clinical prediction rule would help general practitioners to initially diagnose ASD in routine clinical practice.

Impairments in social cognitions in schizophrenia are increasingly reported in the last decade but only a few studies have come from Asia. The objective of the study was to evaluated emotion perception, theory of mind and social knowledge in people with schizophrenia compared to healthy controls. Participants were 36 clinically stable outpatients with schizophrenia and 36 normal controls with comparable age and level of education. We administered general neurocognition test (the Addenbrooke's Cognitive Examination), emotion perception (the Faces Test), theory of mind (the Eyes Test) and social knowledge (the Situational Features Recognition Test; SFRT). Schizophrenia patients displayed obvious impairment in all three social cognition domains i.e. the Faces Test [13.7 (2.9) vs 15.7 (1.9), P=0.001], the Eyes Test [18.9 (4.4) vs 23.5 (4.4), P<0.001] and SFRT [0.85 (0.09) vs 0.9 (0.05), P=0.002]. The performances on three social cognition tests did not correlate with positive symptoms. Only the Faces Test seemed to be related to negative symptoms. The results demonstrated that there are deficits of social cognitions in schizophrenia even in a clinically stable population.