Scaling Up Science-Based Care for Depression and Unhealthy Alcohol Use in Colombia: An Implementation Science Project.

BACKGROUND: Mental disorders are a major cause of the global burden of disease and significantly contribute to disability and death. This challenge is particularly evident in low- and middle-income countries (LMICs), where >85% of the world's population live. Latin America is one region comprising LMICs where the burden of mental disorders is high and the availability of mental health services is low. This is particularly evident in Colombia, a country with a long-standing history of violence and associated mental health problems. METHODS: This article describes the design of a multisite implementation science project, "Scaling Up Science-Based Mental Health Interventions in Latin America" (also known as the DIADA project), that is being conducted in six primary care systems in Colombia. This project, funded via a cooperative agreement from the National Institute of Mental Health, seeks to implement and assess the impact of a new model for promoting widespread access to mental health care for depression and unhealthy alcohol use within primary care settings and building an infrastructure to support research capacity and sustainability of the new service delivery model in Colombia. This care model centrally harnesses mobile health technology to increase the reach of science-based mental health care for depression and unhealthy alcohol use. RESULTS: This initiative offers great promise to increase capacity for providing and sustaining evidence-based treatment for depression and unhealthy alcohol use in Colombia. NEXT STEPS: This project may inform models of care that can extend to other regions of Latin America or other LMICs.

Presenteeism, Absenteeism, and Lost Work Productivity among Depressive Patients from Five Cities of Colombia.

OBJECTIVES: To estimate productivity losses due to absenteeism and presenteeism and their determinants in patients with depression from five Colombian cities. METHODS: We used data from a multicenter, mixed-methods study of adult patients diagnosed with major depressive disorder or double depression (major depressive disorder plus dysthymia) during 2010. The World Health Organization's Health and Work Performance Questionnaire was used to assess absenteeism and presenteeism. We explored the determinants of productivity losses using a two-part model. We also used a costing model to calculate the corresponding monetary losses. RESULTS: We analyzed data from 107 patients employed in the last 4 weeks. Absenteeism was reported by 70% of patients; presenteeism was reported by all but one. Half of the patients reported a level of performance at work at least 50% below usual. Average number of hours per month lost to absenteeism and presenteeism was 43 and 51, respectively. The probability of any absenteeism was 17 percentage points lower in patients rating their mental health favorably compared with those rating it poorly (standard error [SE] 0.09; P < 0.10) and 19 percentage points higher in patients with at least one comorbidity compared with patients with none (SE 0.10; P < 0.10). All other covariates showed no significant associations on hours lost to absenteeism. Patients with favorable mental health self-ratings had 16.4 fewer hours per month of presenteeism compared with those with poor self-ratings (SE 4.52; P < 0.01). The 2015 monetary value of productivity losses amounted to US $840 million. CONCLUSIONS: This study in a middle-income country confirms the high economic burden of depression. Health policies and workplace interventions ensuring adequate diagnosis and treatment of depression are recommended.