Unit for women with schizophrenia in a community mental health service: Description of current and projected programs and quality evaluation measures
Bibliographic record
Abstract
Introduction Women with schizophrenia require health interventions and safe spaces sufficiently different from those of men. Objectives To describe units in two mental health outpatient services specialized in the treatment of women with schizophrenia and related disorders. Methods Two units in Spain projected to treat women with schizophrenia and related disorders - Community Mental Health Programs (CMHU Rambla, CMHU Sant Cugat) will be described. Recruitment, assessment, intervention, and evaluation and satisfaction measures will be characterized, and the need to build-in safety precautions (policy/structural). Results Demographics:(Preliminary 2021 data on the two services). Patients attending (CMHU): 3,393. Forty-five per cent diagnosed with severe mental illness. Schizophrenia and related disorders: 873 patients. 58% women. Staffing projected: 2 psychiatrists, 2 nurses, 1 clinical psychologist, 2 social workers. Physical structure: Safe spaces for women/children. Programs (offered currently and in planning stages): 1)Therapeutic Drug Monitoring/Adherence, 2)Individual/group patient/family sessions, 3)Perinatal Mental Health (preconception, pregnancy, lactation, postpartum, parent training/support), 4)Collaborative programs (primary care, medical specialties especially obstetrics/gynecology and endocrinology, trauma specialists, addiction experts), 5)prevention/intervention of suicide risk, 6)social services (single mothers, family issues, domestic abuse, sexual exploitation) 7)home-based services, 8)peer support, 9)physical activity, 10)psychoeducation for patients and families. Planned quality evaluation measures: diagnostic assessment (reliability, long-term validity);regular treatment effectiveness evaluation (individualization of treatment plans, assessment of adverse effects of drugs, screening for metabolic syndrome/ physical health, family intervention, psychoeducation (individual/group) assessment of suicidal ideation and global functioning. Conclusions Specific services for women with schizophrenia and related disorders represent an important resource to improve patient well-being and offer clinical care leading to individual recovery. Disclosure of Interest None Declared
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.047 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".