Physiologic and psychosocial approaches to global management of the hemodialysis patient in the Southern Alberta Renal Program.
Bibliographic record
Abstract
As frontline nurses, we know firsthand the many challenges of renal disease faced by our patients and the impact on their lives and their families. How can we help them cope with their illness? How can we improve their quality of life? How can we prevent the complications inherent to the disease? How do we know we are doing a good job? Where do we start? The purpose of this presentation is to showcase the global management of the hemodialysis (HD) patient. It provides a collaborative and systematic approach to assessing, implementing, evaluating and coordinating the physiologic and the psychosocial aspects of their care. It is a model of case management followed by the Southern Alberta Renal Program (SARP) in meeting the many and complex needs of our hemodialysis patients. The quality indicators, to name a few, that relate to the physiologic aspects of their care are dialysis adequacy and fluid removal, improved blood pressure (BP) control, maintenance and improved vascular access function, anemia, bone and mineral disease management, nutritional, and diabetes management. The psychosocial aspects of care encompass goals of care, residential support, transportation, and mobility programs in the community. There may be positive implications resulting from our practice that we believe would be invaluable in terms of improved patient care, increased adherence to therapeutic regimens, improved mortality and morbidity and overall enhanced quality of life. Moreover, better communication would possibly be fostered and wise and prompt use of resources may be a result. To date, we have not done studies to prove or disprove these outcomes.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".