Perceived need for care and stigma experiences among individuals with methamphetamine-related admissions to inpatient mental health wards
Bibliographic record
Abstract
BACKGROUND: There are gaps in our understanding of treatment needs among people who use methamphetamine. We examined the demographics, perceived treatment needs, barriers to accessing care, and stigma experienced by an inpatient sample of people who use methamphetamine. METHODS: This study surveyed a convenience sample of patients admitted to psychiatry wards with a history of methamphetamine use in Winnipeg, Canada, between May 1 and July 31, 2019. The Perceived Need for Care Questionnaire (PNCQ-9) was used to assess treatment needs and barriers to care, and the Substance Use Stigma Mechanisms Scale (SU-SMS) was used to assess enacted, anticipated, and internalized stigma. Prevalence rates of perceived need, stigma, and demographic variables were determined. RESULTS: A total of 103 potential participants were identified, with 34 completing the survey. The most common age group was 21-30 years of age (41.2%); an approximate equal number of men and women; and almost all were single and never married (91.1%). Rates of perceived need for care were very high across all treatment types, including 91% identifying a need for medication treatment for their mental health or substance use. Despite the majority receiving care across the seven types of care described in the PNCQ-9, most felt they did not receive enough care. Unmet need for care was therefore high in many categories, including rates of 87% for counselling and skills training. The most common barriers to having needs met were a desire to self-manage substance use, and not receiving care after asking for help. Almost all participants reported experiencing stigma (94%). Stigma from family was endorsed significantly more than stigma from health care providers (p = 0.005). CONCLUSIONS: The average hospitalized person who uses methamphetamine in this sample is young, single, and has not completed any post-secondary education. High rates of perceived treatment need suggest an awareness of problems with methamphetamine, yet most interventions are perceived as inadequate. People who used methamphetamine felt highly stigmatized, particularly by their family members. Trial registration Registered with the Health Research Ethics Board at the University of Manitoba (Number HS22605 (H2019:072), renewed February 14, 2022).
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".