Cognitive behavioural therapy for intolerance of uncertainty: A study protocol for the prevention of postpartum anxiety
Bibliographic record
Abstract
BACKGROUND: Mental health disorders are the most prevalent health complication experienced during pregnancy and the postpartum, with anxiety disorders being most common. Intolerance of uncertainty (IU) is a well-known feature of anxiety disorders and has recently been identified as a risk factor for the worsening of anxiety during the postpartum period. Cognitive Behavioural Therapy (CBT) is a first-line treatment for perinatal anxiety, and CBT specifically targeting IU in non-perinatal populations has demonstrated positive findings for reducing anxiety. As such, the objective of our study is to examine whether CBT targeting IU in pregnancy can reduce the risk of postpartum anxiety. METHODS: This protocol paper outlines a proof-of-concept randomised clinical trial assessing the effectiveness of a newly developed CBT for IU (CBT-IU) protocol to reduce the risk of postpartum anxiety. Pregnant individuals identified at increased risk for postpartum anxiety (defined as a baseline score of 64 or greater on the Intolerance of Uncertainty Scale) will be randomised to receive CBT-IU or care as usual (CAU) during pregnancy and will be followed through the postpartum period (6-12 weeks). The CBT-IU protocol is a weekly, six session treatment, which includes psychoeducation, behavioural experiments, imaginal exposure, and problem-solving to target IU. DISCUSSION: To our knowledge, this will be the first study to investigate the efficacy of a CBT protocol aimed at reducing the risk of developing postpartum anxiety. Establishing this protocol as a potentially preventative strategy will offer a new option to improve the mental health and well-being of mothers and their infants. CLINICAL TRIAL REGISTRATION: Trial Number is NCT05691140 and accessible at https://clinicaltrials.gov/study/NCT05691140.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".