Stages and Processes of Change Utilized by Female Sex Workers Participating in an Alcohol-Reduction Intervention in Mombasa, Kenya
Bibliographic record
Abstract
BACKGROUND: According to the transtheoretical model (TTM) behavior change occurs through a series of steps when an individual becomes aware of a behavior, prepares to change, and executes those changes using certain processes. This model has not yet been used to describe alcohol-reduction behavior change processes in resource-limited settings. OBJECTIVE: This qualitative analysis aimed to describe and characterize the stages and processes of change employed by female sex workers in Mombasa, Kenya during the course of their participation in a 6-month alcohol reduction intervention. METHODS: In 2011-2012, clinical interviews were conducted with 45 female sex workers. One interview was conducted each month during the intervention period, resulting in a total of six transcripts per participant. During each interview, the counselor noted the participant's stage of change and recent alcohol use. The clinical notes were analyzed via qualitative coding techniques and organized into matrices to classify alcohol reduction strategies discussed by participants. RESULTS: Participants discussed using the stage-specific processes of change described by the TTM to reduce their alcohol use and maintain the behavior change. Participants who were HIV-positive at the start of the intervention seemed to progress to the action/maintenance stage more quickly than HIV-negative participants. CONCLUSIONS/IMPORTANCE: Results suggest that the TTM constructs may be relevant in understanding the alcohol reduction behavior change process of an at-risk population in a resource-limited setting. Future quantitative research should seek to validate the TTM's application internationally. Alcohol interventions should consider tailoring content to participants' stages of change and HIV-status for increased effectiveness.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".