Research problems and specific questions Major depressive disorder (MDD) and stress induced exhaustion disorder (SED) are two growing public health concerns in primary care, causing individual suffering and affecting work productivity. MDD and SED call for different treatment strategies, but diagnosis differentiation pose several difficulties. Both conditions are linked to stress-related factors at work, and prescribed sick leave is a common treatment strategy. The main reasons for sick leave in DEP and UMS is cognitive difficulties, but no objective measures of cognition is used today. The aim of the PrimeCog project is to provide new diagnostic tools for differentiation between MDD and SED and guide individualized treatment based on cognitive function and underlying pathophysiology.
Data and method The project is a multicenter longitudinal, prospective research project on patients with newly diagnosed MDD or SED and healthy controls, n=100/group. The participants will be recruited at primary care centers. Data is collected through a digital cognitive test battery carried out at home, a questionnaire with screening scales and psychosocial risk factors, biomarkers in blood, saliva and hair, and a magnetic resonance imaging (MRI) of the brain. These procedures will be repeated after 12 and 24 months.
Societal relevance and utilization New diagnostic tools are needed for DEP and UMS in primary care to improve differential diagnosis and to individualize treatment in order to get the right intervention and treatment as quickly as possible. This could hypothetically contribute to shorter illness duration and reduce the length of sick leave. By investigating digital cognitive testing in primary care patients with MDD or SED, the PrimeCog project seeks to enhance diagnosis and follow-up which may prevent negative outcomes for individuals and benefit society by advancing mental health care as a whole. Digital cognitive testing is a new tool in primary care, and potentially both time- and cost-effective approach for objectively measuring cognitive symptoms.