Experiences of nursing students in caring for patients with behaviors suggestive of low health literacy: a qualitative analysis
Bibliographic record
Abstract
Background: Health literacy is the ability to obtain, process, and understand health information in order to take appropriate health actions. Low health literacy is associated with poor health knowledge and self-management of chronic disease, inadequate utilization of preventive services, and increased hospital admissions. The American Association of Colleges of Nursing recommends that nursing schools incorporate health literacy into curricula. Little, however, has been reported about what nursing students have learned and done about health literacy in clinical. This study explored undergraduate nursing students’ experiences in caring for patients with low health literacy. Methods: A qualitative content analysis method was used to analyze 59 narratives written by undergraduate nursing students. Results: Three themes were uncovered: sensing low health literacy by behavioral cues, promoting health literacy with multiple strategies, and closing the health information loop with positive and negative feelings. Noncompliance, knowledge deficits, anxiety/concerns, and language barriers were behavioral cues indicating low health literacy, and these cues triggered the students’ information support actions. Students promoted patient understanding and utilization of information by using many interventions: simplifying information, reinforcing information, giving written information, and demonstration/teach-back. Many students felt good about being able to help increase knowledge and self-care skills of their patients. Some were frustrated because they were unable to promote lifestyle modifications of the patients with complicated chronic diseases. Students, however, did not employ standardized tools to assess the health literacy of the patient or the patient’s knowledge of specific diseases, nor did they assess readability of patient education materials or provide patient empowerment interventions to encourage active information-seeking and participation in self-care. Conclusions: Nursing students could identify behavioral cues suggestive of low health literacy and provide solutions to increase the patient’s health literacy. To enhance student practice, nursing curricula, however, can integrate relevant health literacy assessment tools and empowerment interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".