Perceived and anticipated stigma in patients with schizophrenia according with the length of illness
Bibliographic record
Abstract
Introduction Perceived and anticipated stigma are relevant issues in patients with schizophrenia. Stigma has negative consequences both in quality of life and in the course of illness. Objectives To analyze differences in perceived and anticipated discrimination in two groups of patients with schizophrenia: one with a recent diagnosis of illness and another with a long course of disease. Methods A cross-sectional study was carried out in a sample of 100 patients with diagnosis of schizophrenia, 18 or more years old, clinically stabilized, without axis I DSM-IV comorbidity. Patients received treatment in the outpatient services of a catchment area in Madrid. Perceived and anticipated discrimination was evaluated trough the DISC-12 (Discrimination and Stigma scale). Other study variables were: socio-demographic status, length of disease, symptoms of depression (Calgary Scale) and functionality degree measured by Global Assessment of Function (GAF). Two sub-groups of patients were compared: one with a length of illness below 5 years and a second one with a length of illness over 5 years. Results Patients with a length of illness longer than 5 years showed elevated degree of perceived and anticipated discrimination compared with patients with less than 5 years of illness course. In the same way, patients with a recent diagnosis of illness showed increased scores in the measure of face the stigma. Conclusions Preventive strategies to avoid the stigma in schizophrenia should consider some differences in patients in relationship with the length of evolution of illness in order to be more accurate. Early intervention programs about stigma are necessary. Disclosure of interest The authors have not supplied their declaration of competing interest.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".