The tobacco quitline setting as a teachable moment: The Educating Quitline Users About Lung (EQUAL) cancer screening randomized trial
Why this work is in the frame
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Bibliographic record
Abstract
Although lung cancer screening (LCS) using low-dose CT is recommended for high-risk individuals, screening adherence remains low. We conducted a randomized trial to compare two methods of providing LCS education to Maryland Tobacco Quitline (MTQ) callers in order to assess whether this setting may serve as a teachable moment for LCS-eligible individuals. MTQ callers (50-80 years, 20+ pack-years, prior LCS ≥12 months) completed the baseline and were randomized to the Print- or Web-based version of ShouldIScreen.com. Participants completed 1- and 4-month follow-up assessments to evaluate intervention engagement and LCS-related outcomes. Participants (Print = 152, Web = 146) were 61.7 (SD = 6.3) years old and reported 63.5 pack-years (SD = 36.0). Most identified as Black (54.2%), female (66.1%), having internet access (78.9%), completing other recommended cancer screenings (86.3%), and that they would undergo LCS if recommended by their provider (91.3%). By 4 months, significantly more Print (75.0%) than Web (61.6%) participants had read the materials (P = .01). Most reported the interventions contained "the right amount" of information (92.6%) and prepared them to talk with their doctor (57.2%). Regarding screening-related outcomes, 42.8% (Print) and 43.8% (Web) had scheduled or completed a low-dose CT scan or a shared decision-making visit (P = .86). In a racially diverse sample of LCS-eligible quitline callers, offering LCS educational materials resulted in high intervention engagement and screening-related appointments. As >20% did not have internet access, providing participants' preferred modality (web/print) may improve intervention engagement and knowledge. Improving LCS awareness represents an important opportunity to increase screening among eligible but unscreened quitline callers.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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