Why take the chance? A qualitative grounded theory study of nocturnal haemodialysis recipients who decline kidney transplantation
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to examine the factors that influence decision-making to forgo transplantation in favour of remaining on nocturnal haemodialysis (NHD). DESIGN: A grounded theory approach using in-depth telephone interviewing was used. SETTING: Participants were identified from 2 tertiary care renal programmes in Canada. PARTICIPANTS: The study participants were otherwise eligible patients with end-stage renal disease who have opted to remain off of the transplant list. A total of 7 eligible participants were interviewed. 5 were male. The mean age was 46 years. ANALYSIS: A constant comparative method of analysis was used to identify a core category and factors influencing the decision-making process. RESULTS: In this grounded theory study of people receiving NHD who refused kidney transplantation, the core category of 'why take a chance when things are going well?' was identified, along with 4 factors that influenced the decision including 'negative past experience', 'feeling well on NHD', 'gaining autonomy' and 'responsibility'. CONCLUSIONS: This study provides insight into patients' thought processes surrounding an important treatment decision. Such insights might help the renal team to better understand, and thereby respect, patient choice in a patient-centred care paradigm. Findings may also be useful in the development of education programmes addressing the specific concerns of this population of patients.
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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 | 0.031 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".