Development and validation of an instrument assessing women’s satisfaction with screening mammography in an organized breast cancer screening program
Bibliographic record
Abstract
BACKGROUND: The assessment of the quality of mammography services delivered in organized breast cancer screening programs should include measures centered on women's perceptions. The objective of this study was to develop and validate an instrument in French designed to evaluate the satisfaction of women having a screening mammography. METHODS: An instrument evaluating women's satisfaction with mammography services was developed using published research, the perceptions of screened women, the expertise of health professionals and a pilot study. Between November 9 and 21, 2011, the questionnaire was sent to 1500 consecutive women having had a screening mammography in eight radiologic facilities designated by the Québec Breast Cancer Screening Program, in Quebec City, Canada. Construct validity, convergent and discriminant validity, reliability and sensitivity of the instrument were examined. RESULTS: A total of 819 women (55%) participated in the validation study. The factor analysis retained four satisfaction dimensions: satisfaction with 1) the technician's skills (four items), 2) the physical environment (four items), 3) the staff's communication skills (three items) and 4) the information given by the program (3 items). The multitrait-scaling analysis showed good convergent and discriminant validity: scaling success was 100% for all subscales. All subscales had good internal consistency (Cronbach's alphas ≥ 0.86). The satisfaction scores were able to identify groups of women with lower levels of satisfaction, such as younger women or women with pain during breast compression. CONCLUSION: This brief satisfaction instrument, developed in French, showed good psychometric properties to evaluate satisfaction in women receiving mammographic services in an organized breast cancer screening program.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".