How are health literacy principles incorporated into breast cancer chemotherapy education? A review of the literature
Bibliographic record
Abstract
BACKGROUND: Chemotherapy is commonly used in combination with other treatments for breast cancer. However, low adherence to chemotherapy is a growing concern, particularly among breast cancer patients. Side effects such as nausea and vomiting, fatigue, and arthralgia can contribute to reduced adherence. Other factors such as provider communication and limited insurance coverage can affect adherence. Studies have shown that as much as 28% of patients with breast cancer did not continue with their prescribed dose of chemotherapy. Research suggests that chemotherapy education materials can be critical to addressing problems with non-adherence, and may include written materials, verbal instruction, and multimedia programs. Despite this wide variety, the effectiveness and benefit of chemotherapy education hinges on the patients' health literacy. Breast cancer patients with low health literacy may be unclear about chemotherapy or face difficulty adhering to treatment if they do not understand the information provided to them. Thus, this scoping review summarizes the existing research on how health literacy principles are incorporated into breast cancer chemotherapy education materials. METHODS: Using a combination of keywords (e.g. chemotherapy, education) and Medical subject headings (MeSH) terms (e.g., drug therapy, antineoplastic agents), we searched five databases (1977-2017): CINAHL, PubMed, PsycINFO, Cochrane Library, and Web of Science. RESULTS: Eight of 4,624 articles met the inclusion criteria. Five articles incorporated health literacy principles (e.g., plain language, maintaining an active voice, using white space) into the development of written materials. Few articles used a theoretical framework to guide education material development (n = 3). Of the three articles that described pilot-testing of educational materials, two used post-tests only and one used a pre/post-test design. CONCLUSIONS: Findings indicated that limited research exists regarding the use of health literacy principles in chemotherapy education materials. Much of the development of chemotherapy education is not grounded in theory and the application of health literacy principles is limited. Implementing health literacy principles may improve overall comprehension of education thereby increasing adherence.
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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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".