Factors influencing the provision of health education programs for patients during hospitalization
Bibliographic record
Abstract
Health education has been an essential part of health care for many years. Some acute care hospitals provide health education programs for patients during hospitalization. These programs are offered only in certain patient care areas; therefore, all patients do not have access to this service. The purpose of this study was to identify and describe factors that influence the provision of health education programs for patients during hospitalization on medical surgical patient care areas. Nurses make up approximately 70% of the health care professionals in acute care hospitals; therefore, a nursing perspective on this issue was sought. Using a descriptive, qualitative approach and the PRECEDE model for health promotion planning and evaluation, 14 registered nurses in various positions in an acute care community-based hospital were interviewed. Data from this study were classified as direct or indirect influences on the provision of health education programs for patients. Six main conclusions were drawn: (a) no Type 2 , "planned" health education program was provided for patients during hospitalization, (b) a Type 3, "comprehensive" health education program was provided for specific patients - namely those recovering from a heart attack, (c) the influence of the medical model on the provision of health education programs for patients during hospitalization was significant and pervasive, (d) nurses and other health care professionals were unaware of the impact the medical model had on their approach to health education programs for patients, (e) factors, in addition to time and resources, were identified as important in influencing the provision of health education programs, and (f) more exploration is needed to identify additional factors in the PRECEDE model, in order to understand the phenomenon regarding the provision of health education programs for patients during hospitalization in an acute care facility. Previous studies have fallen short in grasping the basis for the disparity in the provision of health education programs for patients during hospitalization. Therefore, more studies are required in this area to fully understand the factors and challenges involved.
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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 | 0.001 | 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".