Infertility-related distress and clinical targets for psychotherapy: a qualitative study
Bibliographic record
Abstract
OBJECTIVES: An estimated 30%-40% of women attending infertility tertiary care facilities experience clinically significant depression and anxiety. However, current psychological interventions for infertility are only modestly effective in this population. In this study, we aimed to identify the specific psychological components of infertility-related distress to assist in the development of a more targeted and effective therapeutic intervention. To our knowledge, this study is the first of its kind to include the views and opinions of mental health professionals who specialise in the field of infertility and the first to explore therapies currently used by mental health professionals. DESIGN: A qualitative approach using semistructured individual interviews and focus group interviews with women who have experience with infertility and also mental health professionals specialising in the field of infertility. Thematic analysis was used to identify patterns and themes emerging from the data. PARTICIPANTS: Twenty-one women (aged 25-41 years) struggling to conceive for ≥12 months and 14 mental health professionals participated in semistructured interviews about the psychological challenges related to infertility. RESULTS: Five themes, each divided into subthemes, emerged from the data and these were developed into a model of infertility-related distress. These five themes are: (1) anxiety, (2) mood disturbance, (3) threat to self-esteem, identity and purpose, (4) deterioration of the couple and (5) weakened support network. In addition, therapeutic techniques used by mental health professionals were identified. CONCLUSIONS: The results of this study suggest specific clinical targets that future interventions treating infertility-related distress should address.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".