Background: Depression is viewed as a major and increasing public health issue, as it causes high distress in the people experiencing it and considerable financial costs to society. Efforts are being made to reduce this burden by preventing depression. A critical component of this strategy is the ability to assess the individual level and profile of risk for the development of major depression.
View Article and Find Full Text PDFBackground: Primary healthcare professionals report high levels of distress and burnout. A new model of burnout has been developed to differentiate three clinical subtypes: 'frenetic', 'underchallenged' and 'worn-out'. The aim of this study was to confirm the validity and reliability of the burnout subtype model in Spanish primary healthcare professionals, and to assess the explanatory power of the self-compassion construct as a possible protective factor.
View Article and Find Full Text PDFBackground: Not enough is known about universal prevention of depression in adults.
Objective: To evaluate the effectiveness of an intervention to prevent major depression.
Design: Multicenter, cluster randomized trial with sites randomly assigned to usual care or an intervention.
BMC Psychiatry
June 2013
Background: The 'predictD algorithm' provides an estimate of the level and profile of risk of the onset of major depression in primary care attendees. This gives us the opportunity to develop interventions to prevent depression in a personalized way. We aim to evaluate the effectiveness, cost-effectiveness and cost-utility of a new intervention, personalized and implemented by family physicians (FPs), to prevent the onset of episodes of major depression.
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