A qualitative evaluation of strategies to increase colorectal cancer screening uptake.
Bibliographic record
Abstract
OBJECTIVE: To obtain data that could be used to optimize the content and design of the targeted, mailed invitations that Ontario's provincewide colorectal cancer (CRC) screening program plans to use to increase screening uptake; to identify other strategies to increase CRC screening uptake; and to describe the effects of this qualitative work on a subsequent quantitative pilot study. DESIGN: Qualitative study using semistructured focus groups. SETTING: Four different Ontario communities. PARTICIPANTS: Six focus groups comprising a total of 62 participants. METHODS: Six focus groups were conducted in 4 different Ontario communities. For 3 of the communities, participants were recruited from the general population by a private marketing firm, using random-digit dialing, and received a small honorarium for participating. In Sault Ste Marie, participants were convenience samples recruited from a large primary care practice and were not offered compensation. Responses were elicited regarding various strategies for promoting CRC screening. Findings represent all responses observed as well as recommendations to program planners based on focus groups observations. MAIN FINDINGS: Key themes identified included the importance of receiving a CRC screening invitation from one's family physician; a desire for personalized, brief communications; and a preference for succinct information in mailed materials. Strong support was indicated for direct mailing of the CRC screening kit (fecal occult blood test). Our findings substantially influenced the final design and content of the envelope and letter to be mailed in the subsequent quantitative pilot study. CONCLUSION: We report strong support from our focus groups for a succinct, personalized invitation for CRC screening from one's own family physician. We have also shown that qualitative evaluation can be used to provide decision makers with pertinent and timely knowledge. Our study is highly relevant to other public health programs, particularly other Canadian jurisdictions planning organized CRC screening programs.
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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 | 0.040 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".