The Psychosocial Evaluation Is an Essential Part of the Pretransplant Workup for Patients with End-Stage Renal Disease: A Social Worker’s Perspective
Bibliographic record
Abstract
On the surface, it is common to assume that most patients with end-stage renal disease will get listed for a kidney transplant. Unfortunately, for many patients, this is not the case. The process of listing a patient for a transplant requires a rigorous medical examination and a mandatory psychosocial screening assessment. Clinical social workers are often asked why this assessment is important, what it accomplishes, and how it affects a patient’s ability to get listed. This column argues that the required psychosocial assessment is a key element in helping to determine whether a patient should be listed on the deceased donor transplant list. This assessment is crucial in determining a patient’s psychosocial suitability for a transplant, which ultimately ensures that this scarce resource is well used; it also tries to ensure the best possible outcomes for patients. Social workers have a dual role during this assessment: one to the transplanted...
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".