Depression in primary care and the role of evidence-based guidelines: cross-sectional data from primary care physicians in Germany

Development and validation of a prediction score to assess the risk of depression in primary care

BACKGROUND

Major depression is the most frequent psychiatric disorder and primary care is a crucial setting for its early recognition. This study aimed to develop and validate the DEP-HScore as a tool to predict depression risk in primary care and increase awareness and investigation of this condition among General Practitioners (GPs).

METHODS

The DEP-HScore was developed using data from the Italian Health Search Database (HSD). A cohort of 903,748 patients aged 18 years or older was selected and followed until the occurrence of depression, death or end of data availability (December 2019). Demographics, somatic signs/symptoms and psychiatric/medical comorbidities were entered in a multivariate Cox regression to predict the occurrence of depression. The coefficients formed the DEP-HScore for individual patients. Explained variance (pseudo-R2), discrimination (AUC) and calibration (slope estimating predicted-observed risk relationship) assessed the prediction accuracy.

RESULTS

The DEP-HScore explained 18.1 % of the variation in occurrence of depression and the discrimination value was equal to 67 %. With an event horizon of three months, the slope and intercept were not significantly different from the ideal calibration.

LIMITATIONS

The DEP-HScore has not been tested in other settings. Furthermore, the model was characterized by limited calibration performance when the risk of depression was estimated at the 1-year follow-up.

CONCLUSIONS

The DEP-HScore is reliable tool that could be implemented in primary care settings to evaluate the risk of depression, thus enabling prompt and suitable investigations to verify the presence of this condition.

A Cross-Sectional Study of the Prevalence and Determinants of Common Mental Health Problems in Primary Care in Switzerland

Objective: This study investigated the prevalence of the most common mental health symptoms in a large primary care patient population and characterized their determinants. Methods: Data came from a 2015-16 cross-sectional study of a primary care population in Switzerland. An investigator presented the study to patients in waiting rooms, and 1,103 completed a tablet-based questionnaire measuring stress in daily life, sleep disorders and anxiety and depressive symptoms. Diagnoses and treatments were recorded. Results: Moderate-to-high anxiety and depressive symptoms concerned 7.7% of patients; 27.6% felt stressed at least once a week; 17.2% had severe sleep disorders. Sociodemographic determinants were associated with psychiatric symptoms: female sex, young age, and frequency of consultations with a GP. Participants taking psychotropics had high levels of mental distress. Conclusion: Even though most patients were regularly monitored by their GP, a significant number of mental health problems were found. GPs should be provided with concrete tools to manage these patients better. Collaboration with mental health specialists should be encouraged in primary care settings.