The Utility of the Transtheoretical Model of Behavior Change for HIV Risk Reduction in Injection Drug Users
Bibliographic record
Abstract
The spread of HIV among injection drug users (IDUs) is the second most common mode of transmission next to sexual contact. Although HIV infections can be prevented by changing high-risk behaviors such as needle sharing, these high-risk behaviors are highly complex. Initially developed for smoking cessation, Prochaska's Transtheoretical Model (TTM) is well-suited to the IDU population because it recognizes that chronic behavior patterns are usually under some combination of biological, social, and self-control. The objective of this article is to examine the utility of the TTM for promoting risk reduction behaviors among IDUs. This article will outline (a) the challenges of applying the TTM to IDU behaviors with respect to HIV prevention, (b) the four major components of the TTM as they relate to IDUs, (c) how risk reduction practitioners are currently using the TTM, and (d) current and future research using the TTM.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".