Background: Depression affects about 30% of stroke survivors within 5 years. Timely diagnosis and management of post-stroke depression facilitate motor recovery and improve independence. The original version of the Patient Health Questionnaire-9 (PHQ-9) is recognized as a good screening tool for post-stroke depression. However, no validation studies have been undertaken for the use of the Thai PHQ-9 in screening for depression among Thai stroke patients. Methods: The objectives were to determine the criterion validity and reliability of the Thai PHQ-9 in screening for post-stroke depression by comparing its results with those of a psychiatric interview as the gold standard. First-ever stroke patients aged ≥45 years with a stroke duration 2 weeks-2 years were administered the Thai PHQ-9. The gold standard was a psychiatric interview leading to a DSM-5 diagnosis of depressive disorder and adjustment disorder with a depressed mood. The summed-scored-based diagnosis of depression with the PHQ-9 was obtained. Validity and reliability analyses, and a receiver operating characteristic curve analysis, were performed. Results: In all, 115 stroke patients with a mean age of 64 years (SD: 10 years) were enrolled. The mean PHQ-9 score was 5.2 (SD: 4.8). Using the DSM-5 criteria, 11 patients (9.6%) were diagnosed with depressive disorder, 12 patients (10.5%) were diagnosed with adjustment disorder with a depressed mood. Both disorders were combined as a group of post-stroke depression. The Thai PHQ-9 had satisfactory internal consistency (Cronbach's alpha: 0.78). The algorithm-based diagnosis of the Thai PHQ-9 had low sensitivity (0.52) but very high specificity (0.94) and positive likelihood ratio (9.6). Used as a summed-scored-based diagnosis, an optimal cutoff score of six revealed a sensitivity of 0.87, specificity of 0.75, positive predictive value of 0.46, negative predictive value of 0.95, and positive likelihood ratio of 3.5. The area under the curve was 0.87 (95% CI: 0.78-0.96). Conclusions: The Thai PHQ-9 has acceptable psychometric properties for detecting a mixture of major depression and adjustment disorder in post-stroke patients, with a recommended cutoff score of ≥6 for a Thai population.

PurposeResidual symptoms of depressive disorder are major predictors of relapse of depression and lower quality of life. This study aims to investigate the prevalence of residual symptoms, relapse rates, and quality of life among patients with depressive disorder.Patients and methodsData were collected during the Thai Study of Affective Disorder (THAISAD) project. The Hamilton Rating Scale for Depression (HAMD) was used to measure the severity and residual symptoms of depression, and EQ-5D instrument was used to measure the quality of life. Demographic and clinical data at the baseline were described by mean ± standard deviation (SD). Prevalence of residual symptoms of depression was determined and presented as percentage. Regression analysis was utilized to predict relapse and patients’ quality of life at 6 months postbaseline.ResultsA total of 224 depressive disorder patients were recruited. Most of the patients (93.3%) had at least one residual symptom, and the most common was anxiety symptoms (76.3%; 95% confidence interval [CI], 0.71–0.82). After 3 months postbaseline, 114 patients (50.9%) were in remission and within 6 months, 44 of them (38.6%) relapsed. Regression analysis showed that residual insomnia symptoms were significantly associated with these relapse cases (odds ratio [OR] =5.290, 95% CI, 1.42–19.76). Regarding quality of life, residual core mood and insomnia significantly predicted the EQ-5D scores at 6 months postbaseline (B =−2.670, 95% CI, −0.181 to −0.027 and B =−3.109, 95% CI, −0.172 to −0.038, respectively).ConclusionResidual symptoms are common in patients receiving treatment for depressive disorder and were found to be associated with relapses and quality of life. Clinicians need to be aware of these residual symptoms when carrying out follow-up treatment in patients with depressive disorder, so that prompt action can be taken to mitigate the risk of relapse.

Objectives To explore the prevalence and factors that contribute to burnout among Thai psychiatrists. Background The practice of psychiatry can lead to emotional fatigue. As rates of emotional illness in Thailand continue to climb, increasing demands are placed on a limited number of psychiatrists. This can lead to burnout, and multiple negative physical and mental health outcomes. Materials and methods Electronic questionnaires were sent to all 882 Thai psychiatrists and residents via a private social media group managed by the Psychiatric Association of Thailand. The questionnaire included demographic data, the Maslach Burnout Inventory (MBI), the Proactive Coping Inventory, and questions about strategies that Thai psychiatrists believed reduce/prevent burnout. Results Questionnaires were sent and 227 (25.7%) responded. According to MBI, 112 (49.3%) of respondents reported high level of emotional exhaustion, and 60 (26.4%) had a high level of depersonalization. Nearly all respondents (99.6%) maintained a high level of personal accomplishment. Working more than 50 hours per week (p = 0.003) and more patients per day (p = 0.20) were associated with higher levels of burnout. Feeling satisfied with work (p<0.001) and having a good support system from family (p = 0.027) and colleagues (p = 0.033) were associated with lower levels of burnout. The coping mechanisms related to lower levels of burnout included more emotional support seeking (p = 0.005), more proactive coping (p = 0.047), and less avoidance (p = 0.005). Conclusions Compared to a previous study on burnout among Thai psychiatrists in 2011, in this study, the prevalence of high levels of burnout had increased dramatically from 17.1% to 49.3%.