Psychosocial Interventions for Problem Alcohol Use in Primary Care Settings (PINTA): Baseline Feasibility Data
Bibliographic record
Abstract
OBJECTIVE: Many individuals receiving methadone maintenance receive their treatment through their primary care provider. As many also drink alcohol excessively, there is a need to address alcohol use to improve health outcomes for these individuals. We examined problem alcohol use and its treatment among people attending primary care for methadone maintenance treatment, using baseline data from a feasibility study of an evidence-based complex intervention to improve care. METHODS: Data on addiction care processes were collected by (1) reviewing clinical records (n = 129) of people who attended 16 general practices for methadone maintenance treatment and (2) administering structured questionnaires to both patients (n = 106) and general practitioners (GPs) (n = 15). RESULTS: Clinical records indicated that 24 patients (19%) were screened for problem alcohol use in the 12 months prior to data collection, with problem alcohol use identified in 14 (58% of those screened, 11% of the full sample). Of those who had positive screening results for problem alcohol use, five received a brief intervention by a GP and none were referred to specialist treatment. Scores on the Alcohol Use Disorders Identification Test (AUDIT) revealed the prevalence of hazardous, harmful, and dependent drinking to be 25% (n = 26), 6% (n = 6), and 16% (n = 17), respectively. The intraclass correlation coefficient (ICC) for the proportion of patients with negative AUDITs was 0.038 (SE = 0.01). The ICCs for screening, brief intervention, and/or referral to treatment (SBIRT) were 0.16 (SE = 0.014), -0.06 (SE = 0.017), and 0.22 (SE = 0.026), respectively. Only 12 (11.3%) AUDIT questionnaires concurred with corresponding clinical records that a patient had any/no problem alcohol use. Regular use of primary care was evident, as 25% had visited their GP more than 12 times during the past 3 months. CONCLUSIONS: Comparing clinical records with patients' experience of SBIRT can shed light on the process of care. Alcohol screening in people who attend primary care for substance use treatment is not routinely conducted. Interventions that enhance the care of problem alcohol use among this high-risk group are a priority.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".