A randomized, controlled pilot study of cognitive analytic therapy for stressed pregnant women with underlying anxiety and depression in a routine health service setting

Cognitive analytic therapy for the treatment of post-traumatic stress disorder: a randomized controlled trial

BACKGROUND

Post-traumatic stress disorder represents a multifaceted clinical entity with a profound impact on mental health. This study was conducted to evaluate the effects of cognitive analytic therapy on the manifestations of post-traumatic stress disorder.

MATERIALS AND METHODS

From May 21, 2023, to July 7, 2023, we conducted a randomized control trial in the outpatient clinic of a psychiatry Hospital. Participants were Iran-Iraq war veterans (N = 40) with a confirmed diagnosis of post-traumatic stress disorder. They were randomly allocated to cognitive analytic therapy and control groups. The primary outcome was re-experiencing, and the secondary outcomes included avoidance, hyperarousal, depression, anxiety, and numbness scores measured by appropriate questionnaires before and after the interventions. The cognitive analytic therapy group received a weekly program totaling 12 sessions of therapy adjunct to pharmacotherapy, each session lasting 90 min, and the control group received only pharmacotherapy.

RESULTS

Within-group analysis showed that cognitive analytic therapy (N = 19) decreased all symptom scores (all p < 0.001), while the control group (N = 20) showed a decrease in hyper-arousal, depression, and anxiety (p < 0.001) scores. Between-group analysis implied that cognitive analytic therapy was more successful than usual pharmacotherapy in decreasing all outcome scores (all p < 0.001).

CONCLUSION

A 12-session program of cognitive analytic therapy was effective in alleviating re-experiencing, avoidance, hyper-arousal, depression, anxiety, and numbness in post-traumatic stress disorder. It was safe and acceptable by participants reflected by a high retention rate. We recommend the incorporation of cognitive analytic therapy to the treatment of post-traumatic stress disorder.

The effectiveness of psychological interventions for anxiety in the perinatal period: A systematic review and meta-analysis

PURPOSE

Anxiety disorders are relatively common during pregnancy and the postnatal period. Despite their potential acceptability to users, psychological interventions research for this population is still in its infancy. The meta-analysis aimed to comprehensively evaluate the evidence of the effectiveness of psychological interventions for reducing perinatal anxiety.

METHOD

The review followed PRISMA guidelines. A total of 26 studies published between 2004 and 2022 fulfilled inclusion criteria of which 22 were included in the meta-analysis.

RESULTS

Results indicated that psychological interventions were more effective than control conditions in reducing symptoms of perinatal anxiety (equivalent to a medium post treatment effect size). Effect sizes were robust for cognitive, behavioural and mindfulness-based interventions. Targeting anxiety also appeared to impact on depression symptoms. There was substantial evidence of methodological heterogeneity.

CONCLUSIONS

This review demonstrates that psychological interventions are effective in reducing symptoms of both anxiety and comorbid anxiety and depression in both the antenatal and postnatal periods. Further research on longer-term effects, infant outcomes, treatment approach and modality are required.

Applying Rasch methodology to examine and enhance precision of the Edinburgh Postnatal Depression Scale

BACKGROUND

The 10-item Edinburgh Postnatal Depression Scale (EPDS) is a widely used depression measure with acceptable psychometric properties, but it uses ordinal scaling that has limited precision for assessment of outcomes in clinical and research settings. This study aimed to apply Rasch methodology to examine and enhance psychometric properties of the EPDS by developing ordinal-to-interval conversion algorithm.

METHODS

The Partial Credit Rasch model was implemented using a sample of 621 mothers of infants (birth to 2 years old) who completed the EPDS as a part of a larger online survey.

RESULTS

Initial analysis indicated misfit to the Rasch model attributed to local dependency between individual EPDS items. The best model fit was achieved after combining six locally dependent items into three super-items resulting in non-significant item-trait interaction (χ²(49) = 46.61, p < 0.57), strong reliability (PSI = 0.86), unidimensionality and item invariance across personal factors such as age and mothers' education. This permitted generation of ordinal-to-interval conversion algorithms derived from person estimates of the Rasch model.

LIMITATIONS

Ordinal-to-interval conversion cannot be applied for individuals with missing data.

CONCLUSIONS

The EPDS met expectations of the unidimensional Rasch model after internal modifications, and its precision can be enhanced by using ordinal-to-interval conversion tables published in this article without the need to alter the original scale format. Scores derived from these conversion tables should decrease error and improve conformity with statistical assumptions in both clinical and research use of the EPDS, making monitoring of clinical status and outcomes more accurate.