Assessing the Cross-Cultural Adaptation and Translation of a Text-Based Mobile Smoking Cessation Program in Samoa (TXTTaofiTapaa): Pilot Study
Bibliographic record
Abstract
BACKGROUND: Samoa faces a persistently high prevalence of adult tobacco use and few existing cessation support services. Mobile phones are ubiquitous and generally affordable. OBJECTIVE: This study aimed to adopt a text message (short message service, SMS) smoking cessation program designed in New Zealand (stop smoking with mobile phones, STOMP) for use in Samoa to assist national objectives in reducing the tobacco use. METHODS: Using focus groups with smokers and ex-smokers, we explored the context for tobacco use and preferences for SMS text messages. Postintervention focus groups were held after participants received SMS text messages for 1 week. Frequent face-to-face meetings with the primary partner (Ministry of Health Samoa) and key stakeholders contributed to the adaptation process. Participatory feedback and collaboration from stakeholders became an integral part of the cultural adaptation and translation of the program. Furthermore, detailed document analyses were included as part of the formal evaluation of the initiative to explore the core determinants of success in adapting the program to the Samoan cultural context. RESULTS: The SMS text messages evolved remarkably following an iterative process of consultation, in situ testing, revision, and retesting to arrive at an acceptable country-specific version of the mobile smoking cessation program. The SMS text messages retained in the final set were consistent with the theory of behavioral change but reflected both linguistic and cultural nuances appropriate for Samoa. Adapting messages required simultaneous multilevel processes, including complex high-level engagement, between the team and the stakeholders, along with crafting the precise content for (character limited) messages. CONCLUSIONS: Receiving cessation support messages through a mobile phone is promising and appears to be an acceptable and accessible mode of delivery for tobacco cessation, particularly in the absence of alternative support. Adapting a text-based program in Samoa requires fastidious attention to the nuances of culture, language, and sociopolitical structures in the country.
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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 | 0.015 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".