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Although workplace mental health screening is often implemented to aid early identification of mental health symptoms and facilitate access to treatment, supporting evidence is limited.
Aims
We aimed to evaluate the effect of independently conducted, confidential, online mental health screening, paired with automated tailored feedback recommending referral services, on help-seeking and psychological distress.
Method
We conducted a cluster-randomised controlled trial with firefighters from an Australian fire and rescue service. Randomisation occurred by station (N = 264). Firefighters at stations allocated to the intervention group received tailored information detailing suitable mental health services based on their Kessler-6 psychological distress score (K6). The control group received generic feedback on services irrespective of K6 score. The primary outcome was help-seeking at 3-months post-intervention for those with at least moderate levels of psychological distress at baseline (K6 ≥14). The study was registered with Australian New Zealand Clinical Trials Registry (no. ANZCTR 12621001457831).
Results
Of the 459 firefighters screened, 141 (30.72%) scored ≥14 on K6. Among this subgroup at 3 months, no differences were observed in rates of overall help-seeking between the intervention and control groups (P = 0.31). In contrast, levels of psychological distress remained high in the intervention group but declined in the control group (t[111] = 2.29, 95% CI: 0.24, 3.23, P = 0.024). The difference in psychological distress associated with workplace mental health screening equated to an effect size of −0.42 (95% CI: −0.04, −0.79).
Conclusions
Our findings suggest that independent, confidential online mental health screening, paired with tailored online feedback and information on available treatment, does not significantly increase help-seeking and may sustain psychological distress over time compared with receiving generic information. As such, it should not be implemented to promote help-seeking and reduce levels of psychological distress. These findings are relevant for workplaces, mental health researchers and practitioners alike, highlighting the potential risk and potential harm of mental health screening conducted in this way on individuals.
Major depressive disorder (MDD) commonly co-occurs with clinically significant levels of anxiety. However, anxiety symptoms are varied and have been inconsistently associated with clinical, functional, and antidepressant treatment outcomes. We aimed to identify and characterise dimensions of anxiety in people with MDD and their use in predicting antidepressant treatment outcome.
Method
1008 adults with a current diagnosis of single-episode or recurrent, nonpsychotic, MDD were assessed at baseline on clinical features and cognitive/physiological functioning. Participants were then randomised to one of three commonly prescribed antidepressants and reassessed at 8 weeks regarding symptom change, as well as remission and response, on the 17-item Hamilton Rating Scale Depression (HRSD17) and the 16-item Quick Inventory of Depressive Symptomatology (QIDS-SR16). Exploratory factor analysis was used on items from scales assessing anxiety symptoms, and resulting factors were assessed against clinical features and cognitive/physiological functioning. Factors were also assessed on their ability to predict treatment outcome.
Results
Three factors emerged relating to stress, cognitive anxiety, and somatic anxiety. All factors showed high internal consistency, minimal cross-loadings, and unique clinical and functional profiles. Furthermore, only higher somatic anxiety was associated with poorer QIDS-SR16 remission, even after adjusting for covariates and multiple comparisons.
Conclusions
Anxiety symptoms in people with MDD can be separated onto distinct factors that differentially respond to treatment outcome. Furthermore, these factors do not align with subscales of established measures of anxiety. Future research should consider cognitive and somatic symptoms of anxiety separately when assessing anxiety in MDD and their use in predicting treatment outcome.
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