Hemodialysis Arteriovenous Fistula Self-cannulation
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: This article discusses how Orem's theory was applied to the revision of supporting documents in the patient-teaching process and subsequently the nurse's role in the patient's learning experience. BACKGROUND/RATIONALE: Teaching based on didactic, provider-focused objectives is ineffective in meeting patient's learning needs. There is a lack of conclusive research on the development of appropriate patient-teaching endeavors for the acquisition of knowledge and skills related to the performance of hemodialysis arteriovenous fistula self-cannulation. DESCRIPTION OF THE PROJECT/INNOVATION: To prepare patients for home hemodialysis, Orem's self-care-deficit nursing theory was used to guide the revisions of a patient assessment and learning documentation template, the development of a self-cannulation teaching resource and to foster a renewed sense of the nurse's role in the teaching process. INTERPRETATION/CONCLUSION: The application of self-care-deficit nursing theory to the update and development of patient-teaching documentation and resources for self-cannulation provides the nurse with a theoretical approach to assess, plan, evaluate, and document teaching from a patient-focused perspective. Theory in practice provides a means to support and highlight the role of nurses in the patient-learning process. The utilization of practical activities to introduce theory into teaching provides a means to structure care processes and to enhance nurse's adoption of theory in practice. IMPLICATIONS: Orem's theory provides a relevant, useful framework to guide nurses in teaching patients self-care. Research on the exploration of nurse's attitudes related to the benefit of adopting theory when teaching patients to perform hemodialysis self-care is needed.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".