Effect of Reliable Recovery on Health Care Costs and Productivity Losses in Emotional Disorders.

Despite the high economic costs associated with emotional disorders, relatively few studies have examined the variation in costs according to whether the patient has achieved a reliable recovery. The aim of this study was to explore differences in health care costs and productivity losses between primary care patients from a previous randomized controlled trial (RCT)-PsicAP-with emotional symptoms who achieved a reliable recovery and those who did not after transdiagnostic cognitive-behavioral therapy (TD-CBT) plus treatment as usual (TAU) or TAU alone. Sociodemographic and cost data were obtained for 134 participants treated at five primary care centers in Madrid for the 12-month posttreatment period. Reliable recovery rates were higher in the patients who received TD-CBT + TAU versus TAU alone (66% vs. 34%, respectively; chi-square = 13.78, df = 1, p < .001). Patients who did not achieve reliable recovery incurred more costs, especially associated with general practitioner consultations (t = 3.01, df = 132, p = .003), use of emergency departments (t = 2.20, df = 132, p = .030), total health care costs (t = 2.01, df = 132, p = .040), and sick leaves (t = 1.97, df = 132, p = .048). These findings underscore the societal importance of achieving a reliable recovery in patients with emotional disorders, and further support the value of adding TD-CBT to TAU in the primary care setting.

A nationwide cross-sectional study of workers' mental health during the COVID-19 pandemic: Impact of changes in working conditions, financial hardships, psychological detachment from work and work-family interface.

BACKGROUND: The COVID-19 disease has changed people's work and income. While recent evidence has documented the adverse impact of these changes on mental health outcomes, most research is focused on frontline healthcare workers and the reported association between income loss and mental health comes from high-income countries. In this study we examine the impact of changes in working conditions and income loss related to the COVID-19 lockdown on workers' mental health in Argentina. We also explore the role of psychological detachment from work and work-family interaction in mental health. METHODS: A total of 1049 participants aged between 18 and 65 who were working before the national lockdown in March 2020 were recruited using a national random telephone survey. Work conditions included: working at the usual workplace during the pandemic, working from home with flexible or fixed schedules, and being unemployed or unable to work due to the pandemic. Measures of financial hardship included income loss and self-reported financial problems related to the outbreak. Work-family interface included measures of work-family conflict (WFC) and family-work conflict (FWC). Mental health outcomes included burnout, life satisfaction, anxiety and depressive symptoms. Data were collected in October 2020. RESULTS: Home-based telework under fixed schedules and unemployment impact negatively on mental health. Income loss and particularly self-reported financial problems were also associated with deterioration of mental health. More than half of the participants reported financial problems, and those who became unemployed during the pandemic experienced more often financial problems. Finally, psychological detachment from work positively influenced mental health; WFC and FWC were found to negatively impact on mental health. CONCLUSIONS: Countries' policies should focus on supporting workers facing economic hardships and unemployment to ameliorate the COVID-19' negative impact on mental health. Organisations can protect employees' mental health by actively encouraging psychological detachment from work and by help managing work-family interface. Longitudinal studies are needed to more thoroughly assess the long-term impact of the COVID-19-related changes in work and economic turndown on mental health issues.

Factor structure and measurement invariance across various demographic groups and over time for the PHQ-9 in primary care patients in Spain.

The Patient Health Questionnaire (PHQ-9) is a widely-used screening tool for depression in primary care settings. The purpose of the present study is to identify the factor structure of the PHQ-9 and to examine the measurement invariance of this instrument across different sociodemographic groups and over time in a sample of primary care patients in Spain. Data came from 836 primary care patients enrolled in a randomized controlled trial (PsicAP study) and a subsample of 218 patients who participated in a follow-up assessment at 3 months. Confirmatory factor analysis (CFA) was used to test one- and two-factor structures identified in previous studies. Analyses of multiple-group invariance were conducted to determine the extent to which the factor structure is comparable across various demographic groups (i.e., gender, age, marital status, level of education, and employment situation) and over time. Both one-factor and two-factor re-specified models met all the pre-established fit criteria. However, because the factors identified in the two-factor model were highly correlated (r = .86), the one-factor model was preferred for its parsimony. Multi-group CFA indicated measurement invariance across different demographic groups and across time. The present findings suggest that physicians in Spain can use the PHQ-9 to obtain a global score for depression severity in different demographic groups and to reliably monitor changes over time in the primary care setting.