This study examined the psychometric properties of the Patient Health Questionnaire-4 (PHQ-4) as an ultra-brief screener of depression and anxiety in the Philippines during the COVID-19 outbreak. Data from 4,524 non-clinical community respondents aged 18-73 years old was collected online between March and July 2020. We evaluated the screener’s factor structure, measurement invariance, and criterion-related validity using confirmatory factor analysis (CFA), multigroup CFA, and structural equation modeling (SEM), respectively. We also evaluated the accuracy of the PHQ-4 cut-off scores by comparing the them with the screeners’ full scales (i.e., PHQ-9 and GAD-7). Using the cutoff scores of the screeners, we also estimated the prevalence rates of depression and anxiety. The PHQ-4 has good internal reliability (Cronbach’s α = 0.82). The CFA results show that the two-factor model has an excellent model fit that is superior to the one-factor model. The two-factor model held through increasingly constrained multigroup CFA models across gender, age, and geographical location groups, demonstrating measurement invariance. The SEM model supported the PHQ-4’s theoretical association to stress, negative affect, and positive affect, supporting the screener’s criterion-related validity. In estimating prevalence rates, among those screened by the PHQ-4 cut-off scores for depression ( n = 1,905, 42.11%) and anxiety ( n = 1,853, 40.96%), 81.78% and 94.06% were consequently screened by the PHQ-9 and GAD-7, respectively. This study supports the reliability, validity, and measurement invariance of the PHQ-4 as an ultra-brief screener of depression and anxiety in a large community sample in Southeast Asia. The inclusion of ultra-brief screeners in COVID-19-related studies and other human disasters, especially among non-clinical samples in low- and middle-income countries, is relevant for the sustainable evaluation and monitoring of the severity mental health symptoms leading to timely and effective mental health service provision.

The mental health impact of the COVID-19 pandemic will increase as the outbreak continues and persist even after the pandemic passes. We developed an 11-item Coronavirus Pandemic Anxiety Scale (CPAS-11) to measure symptoms of anxiety related to the COVID-19 pandemic to help identify individuals who might need mental health services. In developing the scale items, we considered previous research and theory on anxiety symptoms and symptoms reported by clinically referred cases in the Philippines. The scale was validated in a Filipino sample ( N = 925). Exploratory factor analysis indicated two factors corresponding to somatic and non-somatic symptoms; confirmatory factor analysis showed good fit for the two-factor model. CPAS-11 showed good internal consistency, convergent and divergent validity, and screening accuracy. A cutoff score of 15 showed adequate sensitivity and specificity to distinguish GAD-7 screened participants. The results support the viability of CPAS-11 as a screening tool to identify individuals experiencing COVID-19-related anxiety.

Educators and staff adapted to work-from-home setup amidst the covid-19 pandemic. The transition to full-online classes and services leads to poor mental health. The current study explored the association of educator and staff personal characteristics, well-being, and mental health. 326 university employees completed the demographic profile, mental health, and well-being scales. Various hierarchical regression was conducted to determine if personal characteristics and well-being predict common mental health symptoms (depression, anxiety, and stress). Series of multivariate analyses of variance (MANOVA) was conducted to determine the difference between the levels of mental health symptoms according to mental health category, and personal characteristics. The results support the hypothesis with psychological and emotional well-being inversely predicting depression, anxiety, and stress. However, social well-being failed to serve as a significant determinant of common mental health symptoms. MANOVA obtained a significant difference with common mental health symptoms and mental health category and personal characteristics.

The mental health impact of the COVID-19 pandemic will increase as the outbreak continues and persist even after the pandemic passes. We developed a 11-item Coronavirus Pandemic Anxiety Scale (CPAS-11) to measure symptoms of anxiety related to the COVID-19 pandemic to help identify individuals who might need mental health services. In developing the scale items, we considered previous research and theory on anxiety symptoms and symptoms reported by clinically referred cases in the Philippines. The scale was validated in a Filipino sample (N=925). Exploratory factor analysis indicated two factors corresponding to somatic and non-somatic symptoms; confirmatory factor analysis showed good fit for the two-factor model. CPAS-11 showed good internal consistency, convergent and divergent validity, and screening accuracy. A cutoff score of 15 showed adequate sensitivity and specificity to distinguish GAD-7 screened participants. The results support the viability of CPAS-11 as a screening tool to identify individuals experiencing COVID-19-related anxiety.

No abstract