Identification of Facilitators and Barriers to Home Dialysis Selection by Canadian Adults with <scp>ESRD</scp>
Bibliographic record
Abstract
Home dialysis (home HD or home PD) remains underutilized in most jurisdictions. Physicians, advanced-practice nurses, and policy makers working with chronic kidney disease populations can provide insights into patient, healthcare professional, and system-level barriers to home dialysis selection by suitable patients. We used in-depth interviews, with a purposive sampling strategy until informational redundancy was achieved, to elicit barriers and facilitators to home dialysis selection from thirteen informants. We triangulated these data against qualitative data collected in a related survey of nephrologist attitudes. We used a modified grounded theory approach to construct a taxonomy of barriers and facilitators. Informants included nephrologists (n = 11), an advanced-practice nurse, and a health administrator with a provincial renal care organization. We constructed separate taxonomies of barriers and related facilitators that were specific to PD, specific to home HD, and common to both. We distinguished between factors favoring, modifiable factors opposing, and nonmodifiable factors opposing home dialysis selection. Several major themes emerged, including: medical factors, home physical environment, psychological and cognitive factors (knowledge, attitudes, coping styles), social factors (supports, lifestyle), dialysis program, local hospital or regional factors (expertise, resources, local culture), healthcare professional-related factors (knowledge, attitudes, reimbursement), health system-related factors (funding models), and exogenous factors (late referral, technology). We identified several modifiable practices at the level of patient, healthcare professional, dialysis facility, and healthcare system to increase appropriate use of home dialysis. We discuss potential facilitating factors, knowledge gaps, and priorities for future research, and propose potential applications for this novel taxonomy of determinants of dialysis modality choice.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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".