The Meaning of Antipsychotic Medication to Patients With Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: To explore the meaning of taking antipsychotic medication in a population with schizophrenia. METHOD: A literature review of publications on the meaning of medication was conducted using PsycINFO, Medline, and SOCINDEX databases (2001-2012) and search terms attitude or meaning plus antipsychotics or neuroleptics. Based on this search, 110 articles were found, 60 of which were judged relevant to the goal of this article. A recently published expert consensus guideline was also used to better understand current thinking about medication adherence issues in patients with severe mental illness. Quotations from patients attending a women's clinic for psychosis were used to expand on themes found in the literature. RESULTS: Themes extracted from the reviewed literature fell into three main categories: a) control by and of medication, b) dependence on medication and on the prescriber, and c) stigma resulting from medication use. These themes contrast with the usual medical associations with medication (e.g., symptom relief or side effects). CONCLUSION: Shared discussion of beliefs about medication between patient and care provider allows wider exploration of personal meanings that can help establish therapeutic relationships and integrate psychological therapy with psychopharmacology.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".