Reliability and validity of the Thai version of the PHQ-9

<p>Abstract</p> <p>Background</p> <p>Most depression screening tools in Thailand are lengthy. The long process makes them impractical for routine use in primary care. This study aims to examine the reliability and validity of a Thai version Patient Health Questionnaire (PHQ-9) as a screening tool for major depression in primary care patients.</p> <p>Methods</p> <p>The English language PHQ-9 was translated into Thai. The process involved back-translation, cross-cultural adaptation, field testing of the pre-final version, as well as final adjustments. The PHQ-9 was then administered among 1,000 patients in family practice clinic. Of these 1,000 patients, 300 were further assessed by the Thai version of the Mini International Neuropsychiatric Interview (MINI) and the Thai version of the Hamilton Rating Scale for Depression (HAM-D). These tools served as gold-standards for diagnosing depression and for assessing symptom severity, respectively. In the assessment, reliability and validity analyses, and receiver operating characteristic curve analysis were performed.</p> <p>Results</p> <p>Complete data were obtained from 924 participants and 279 interviewed respondents. The mean age of the participants was 45.0 years (SD = 14.3) and 73.7% of them were females. The mean PHQ-9 score was 4.93 (SD = 3.75). The Thai version of the PHQ-9 had satisfactory internal consistency (Cronbach's alpha = 0.79) and showed moderate convergent validity with the HAM-D (r = 0.56; P < 0.001). The categorical algorithm of the PHQ-9 had low sensitivity (0.53) but very high specificity (0.98) and positive likelihood ratio (27.37). Used as a continuous measure, the optimal cut-off score of PHQ-9 ≥ 9 revealed a sensitivity of 0.84, specificity of 0.77, positive predictive value (PPV) of 0.21, negative predictive value (NPV) of 0.99, and positive likelihood ratio of 3.71. The area under the curve (AUC) in this study was 0.89 (SD = 0.05, 95% CI 0.85 to 0.92).</p> <p>Conclusion</p> <p>The Thai version of the PHQ-9 has acceptable psychometric properties for screening for major depression in general practice with a recommended cut-off score of nine or greater.</p

The Receiver Operating Characteristic (ROC) curve of the PHQ-9 versus the MINI for major depression diagnosis

<p><b>Copyright information:</b></p><p>Taken from "Reliability and validity of the Thai version of the PHQ-9"</p><p>http://www.biomedcentral.com/1471-244X/8/46</p><p>BMC Psychiatry 2008;8():46-46.</p><p>Published online 20 Jun 2008</p><p>PMCID:PMC2443128.</p><p></p

An exploratory university-based cross-sectional study of the prevalence and reporting of mistreatment and student-related factors among Thai medical students

Abstract Background Mistreatment is a behavior that reflects disrespect for the dignity of others. Mistreatment can be intentional or unintentional, and can interfere with the process of learning and perceived well-being. This study explored the prevalence and characteristics of mistreatment, mistreatment reporting, student-related factors, and consequences among medical students in Thai context. Methods We first developed a Thai version of the Clinical Workplace Learning Negative Acts Questionnaire-Revised (NAQ-R) using a forward-back translation process with quality analysis. The design was a cross-sectional survey study, using the Thai Clinical Workplace Learning NAQ-R, Thai Maslach Burnout Inventory-Student Survey, Thai Patient Health Questionnaire (to assess depression risk), demographic information, mistreatment characteristics, mistreatment reports, related factors, and consequences. Descriptive and correlational analyses using multivariate analysis of variance were conducted. Results In total, 681 medical students (52.4% female, 54.6% in the clinical years) completed the surveys (79.1% response rate). The reliability of the Thai Clinical Workplace Learning NAQ-R was high (Cronbach’s alpha 0.922), with a high degree of agreement (83.9%). Most participants (n = 510, 74.5%) reported that they had experienced mistreatment. The most common type of mistreatment was workplace learning-related bullying (67.7%), and the most common source was attending staff or teachers (31.6%). People who mistreated preclinical medical students were most often senior students or peers (25.9%). People who mistreated clinical students were most commonly attending staff (57.5%). Only 56 students (8.2%) reported these instances of mistreatment to others. Students’ academic year was significantly related to workplace learning-related bullying (r = 0.261, p < 0.001). Depression and burnout risk were significantly associated with person-related bullying (depression: r = 0.20, p < 0.001, burnout: r = 0.20, p = 0.012). Students who experienced person-related bullying were more often the subject of filed unprofessional behavior reports, concerning conflict or arguments with colleagues, being absent from class or work without reasonable cause, and mistreatment of others. Conclusions Mistreatment of medical students was evident in medical school and was related to the risk for depression and burnout, as well as the risk of unprofessional behavior. Trial registration TCTR20230107006(07/01/2023)

Exploring burnout and depression of Thai medical students:the psychometric properties of the Maslach burnout inventory

Objectives: To examine the psychometric properties of the Maslach Burnout Inventory-Student Survey (MBI-SS) Thai version and to determine the frequency of burnout and correlation between burnout and associated factors. Methods: A cross-sectional study was conducted among undergraduate medical students using convenience sampling (n=545, 76.1% response rate, female 52.1%). Data were collected by a self-report survey. The MBI-SS was translated in Thai and tested for internal consistency using Cronbach's coefficient alpha. A confirmatory factor analysis was performed using as fit indices of the chi-square and degree of freedom ratio (chi(2)/df), Comparative Fit Index (CFI), the Goodness of Fit Index (GFI), the Non-normed Fit Index (NNFI), Akaike information criterion (AIC) and the Root Mean Square Error of Approximation (RMSEA). Spearman and Kendall's tau-b were used to identify correlations between burnout, depression and other factors. Results: Interrater reliability was acceptable with Kappa of 0.83. Confirmatory factor analysis demonstrated good fit indices (chi(2)/df=197.62/83, CFI=0.97, GFI=0.95, NNFI=0.96, AIC=271.62 and RMSEA=0.06). Burnout had a weak, positive association with the PHQ-9 (r=0.294, df=2, p<0.001). The screening depression score had a significant, modest positive association with emotional exhaustion (r=0.469, df=4, p Conclusions: The Thai version of the MBI-SS had adequate psychometric properties among Thai medical students and can be used to assess burnout among undergraduate medical students in Thailand. Burnout was associated with risk for depression. Further studies on other associated factors contributing to depression are suggested