Asylum seekers have difficulty gaining access to mental healthcare. Lack of understanding of asylum seekers’ mental illness explanatory models appears to be an important barrier. Gaining a better understanding of these explanatory models is crucial for ensuring the inclusion of asylum seekers in healthcare services. The Cultural Formulation Interview (CFI) might help to explore asylum seekers’ explanatory models of mental illness.

To analyse asylum seekers’ explanatory models as elicited by the CFI.

The CFI and its first supplementary module were carried out with asylum seekers with mental health problems. Transcriptions of the interviews underwent reflexive thematic analysis within a social constructivist framework.

In the analysis of 25 illness narratives, three major themes characterising asylum seekers’ explanatory models were identified: a burden of the past, a disenabling current reality, and a personal position and individual experience.

The interplay among pre-, peri- and post-migration experiences, having a continuous impact on asylum seekers’ mental health, was highlighted by the themes ‘a burden of the past’, and ‘a disenabling current reality’. The theme ‘a personal position and individual experience’ revealed how the CFI enables self-determination in clinical encounters by embracing uncertainty and questioning the medicalisation of distress. The analysis characterises asylum seekers’ symptoms as a personal idiom of distress within socio-relational contexts. The CFI provides a clinically useful framework for exploring asylum seekers’ explanatory models and fostering dynamic understanding.

Electroconvulsive therapy (ECT) is considered to be the most effective treatment in severe major depression. The identification of reliable predictors of ECT response could contribute to a more targeted patient selection and consequently increased ECT response rates.

To investigate the predictive value of age, depression severity, psychotic and melancholic features for ECT response and remission in major depression.

A meta-analysis was conducted according to the PRISMA statement. A literature search identified recent studies that reported on at least one of the potential predictors.

Of the 2193 articles screened, 34 have been included for meta-analysis. Presence of psychotic features is a predictor of ECT remission (odds ratio (OR) = 1.47, P = 0.001) and response (OR = 1.69, P < 0.001), as is older age (standardised mean difference (SMD) = 0.26 for remission and 0.35 for response (P < 0.001)). The severity of depression predicts response (SMD = 0.19, P = 0.001), but not remission. Data on melancholic symptoms were inconclusive.

ECT is particularly effective in patients with depression with psychotic features and in elderly people with depression. More research on both biological and clinical predictors is needed to further evaluate the position of ECT in treatment protocols for major depression.

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