Care for Women with Delusional Disorder: Towards a Specialized Approach
Bibliographic record
Abstract
Delusional disorder is a difficult-to-treat clinical condition with health needs that are often undertreated. Although individuals with delusional disorder may be high functioning in daily life, they suffer from serious health complaints that may be sex-specific. The main aim of this narrative review is to address these sex-specific health needs and to find ways of integrating their management into service programs. Age is an important issue. Delusional disorder most often first occurs in middle to late adult life, a time that corresponds to menopause in women, and menopausal age correlates with increased development of both somatic and psychological health problems in women. It is associated with a rise in the prevalence of depression and a worsening of prior psychotic symptoms. Importantly, women with delusional disorder show low compliance rates with both psychiatric treatment and with medical/surgical referrals. Intervention at the patient, provider, and systems levels are needed to address these ongoing problems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".