Identification of major depressive disorder among the long-term unemployed

Abstract

Purpose: Depression is a common mental health disorder among the unemployed, but research on identifying their depression in health care is scarce. The present study aimed to explore the identification of major depressive disorder (MDD) in health care on long-term unemployed and find out if the duration of unemployment correlates with the risk for unidentified MDD.

Methods: The study sample consisted the patient files of long-term unemployed people (duration of unemployment 1-35 years, median 11 years), who in a screening project diagnosed with MDD (n = 243). The MDD diagnosis was found in the health care records of 101. Binomial logistic regression models were used to explore the effect of the duration of unemployment, as a discrete variable, to the identification of MDD in health care.

Results: MDD was appropriately identified in health care for 42% (n = 101) of the participants with MDD. The odds ratio for unidentified MDD in health care was 1.060 (95% confidence interval 1.011; 1.111, p = 0.016) per unemployment year. When unemployment had continued, for example, for five years the odds ratio for having unidentified MDD was 1.336. The association remained significant throughout adjustments for the set of background factors (gender, age, occupational status, marital status, homelessness, criminal record, suicide attempts, number of health care visits).

Conclusions: This study among depressed long-term unemployed people indicates that the longer the unemployment period has lasted, the more commonly these people suffer from unidentified MDD. Health services should be developed with respect to sensitivity to detect signs of depression among the long-term unemployed.

Keywords: Depression; Health care; Identification; Major depressive disorder; Unemployment.