Motivational interviewing for alcohol use reduction in Thai patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background and aim Alcohol consumption is a major public health issue, linked to a wide range of physical, psychological, familial, and social harms, as well as increased rates of violence, accidents, and mortality. The aim of this study is to evaluate the effectiveness of a motivational interviewing program in reducing alcohol consumption patterns among Thai patients. Methods This quasi-experimental study included a control group (CG) and an experimental group (EG), each consisting of 30 patients. Data were collected using a structured questionnaire and analyzed with SPSS, utilizing both descriptive and inferential statistical methods. Results The majority of patients in the CG were aged 45–60 years, whereas the majority in the EG were aged 25–44 years. The intervention involved 4 sessions over 8 weeks motivational interviewing program (MIP). The mean AUDIT scores in the CG were 24.10 before the intervention and 22.90 after, while in the EG, scores decreased from 22.63 to 19.33. The interaction between the factors (CG and EG) before the intervention did not have a significant effect (Multivariate Analysis of Variance, MANOVA: p = 0.255), but was significant after the intervention (MANOVA: p = 0.009). Conclusion MIP had a significant effect on reducing alcohol consumption among patients of the EG.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it