Faculty of Social Sciences, University of Tampere, 33014, Tampere, Finland.
Mental Health and Substance Abuse Services, Tampere, Finland.
Soc Psychiatry Psychiatr Epidemiol. 2018 Jan;53(1):45-52. doi: 10.1007/s00127-017-1457-y. Epub 2017 Nov 9.
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.
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.
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).
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.
抑郁症是失业人群中常见的心理健康障碍,但针对医疗保健中识别失业人群抑郁症的研究却很少。本研究旨在探讨医疗保健中对长期失业者进行重度抑郁症(MDD)识别,并确定失业时间是否与未被识别的 MDD 风险相关。
研究样本包括参加筛查项目的长期失业者(失业时间 1-35 年,中位数 11 年)的患者档案,这些人被诊断为 MDD(n=243)。在健康记录中发现了 MDD 诊断,101 人患有 MDD。使用二项逻辑回归模型探讨了失业持续时间(作为离散变量)对 MDD 识别的影响。
在医疗保健中,42%(n=101)患有 MDD 的参与者得到了适当的 MDD 识别。在医疗保健中未被识别的 MDD 的优势比为 1.060(95%置信区间 1.011;1.111,p=0.016)每失业年。例如,当失业持续了五年,未被识别为 MDD 的可能性的优势比为 1.336。在调整了一系列背景因素(性别、年龄、职业状况、婚姻状况、无家可归、犯罪记录、自杀企图、医疗保健就诊次数)后,该关联仍然显著。
本研究表明,长期失业者中,失业时间越长,他们越可能患有未被识别的 MDD。应该针对长期失业者开发敏感性更高的健康服务,以发现抑郁症状。