Use of a Point-of-Care Tool to Improve Nurse Practitioner BRCA Knowledge
Bibliographic record
Abstract
BACKGROUND: Women who have been identified with a BRCA mutation benefit from a multidisciplinary, individualized medical evaluation to reduce their risk of developing cancers. Identifying women who would gain from testing for BRCA mutations is essential. Nurse practitioners (NPs) as primary care providers are important members of the healthcare team and are instrumental in identifying and referring women for testing. However, studies have shown that NPs lack knowledge about and confidence in identifying women at risk. OBJECTIVES: This project was undertaken to increase NP knowledge about assessing women at risk for the BRCA mutation and determining whether such testing is appropriate. This was accomplished through a BRCA risk assessment tool developed as a mobile health technology (MHT) application using the Ontario Family History Assessment Tool, one of the tools recommended by the U.S. Preventive Services Task Force in its guidelines on BRCA-related cancer risk assessment, genetic counseling, and genetic testing to assist primary care providers in the assessment of women. METHODS: NPs attending an NP conference in the midwestern United States completed pre-test, post-test, and satisfaction surveys regarding use of the MHT application. The application included a point-of-care tool and educational information. FINDINGS: The participants demonstrated increased knowledge from pre- to post-test after use of the MHT application, with an overall positive evaluation.
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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 | 0.002 |
| 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".