Pap smear collection: Proposal of a low-cost simulator for health education
Bibliographic record
Abstract
Objective: To develop a low-fidelity and low-cost simulator for health education in Pap smears.Methods: This is an experience report of the care practice carried out with nine nurses and twenty-five women, during Pap smears in the office of the Rural Zone Family Health Team. The SQUIRE 2.0 method was used in the following steps Context: the issue was analyzed. Intervention: searches for the existence of a simulator with the same purpose. The simulator was built manually, using low-cost materials. Measurements: an evaluation of the nurses' perception of the technology produced was performed. Afterward, it was used with women undergoing Pap smears. Analysis: evaluation was carried out by means of simple descriptive statistics.Results: A low-cost and fidelity simulator formed by six slides, where the first slide represents a normal cervix; followed by a slide representing a cervix with cervicitis; a cervix with polyp; a cervix with a lesion in the transformation zone; a cervix with malignant neoplasm; and, by a figure equal to the first slide, however, the hole of the endocervix is perforated in order to introduce the brush of the Pap smear kit.Conclusion and implications for practice: A strengthening of cervical cancer preventive strategies in Primary Health Care was obtained. The simulator allows visualization of the main components of the female genital organ when introducing the speculum, configuring a creative and innovative health education strategy for nursing practice.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".