Mental Health and Behavioral Barriers in Access to Kidney Transplantation
Bibliographic record
Abstract
In Brief Background A history of mental health (MH) disorders or nonadherence (NA) may be barriers to completing the work-up (WU) and/or undergoing kidney transplantation (KT) but this has not been well documented. In this work, we analyzed the relationship between a history of MH disorders or NA and the likelihood of completing the WU or undergoing KT. Methods Patients referred for KT to the Toronto General Hospital from January 1, 2003, to December 31, 2012, and who completed a social work assessment, were included (n = 1769). The association between the history of MH disorders or NA and the time from referral to WU completion or KT were examined using Cox proportional hazards models. Results A history of MH disorders or NA was present in 24% and 18%, respectively. Patients with MH disorders had a 17% lower adjusted hazard of completing the WU within 2 years of referral (HR 0.83; 95% confidence interval [95% CI], 0.71-0.97). Similarly, patients with a history of NA had a 21% lower hazard of completing the WU (hazard ratio [HR], 0.79; 95% CI, 0.66-0.94). The adjusted HR for KT was 0.88 (95% CI, 0.74-1.05) and 0.79 (95% CI, 0.64-0.97) for MH disorders and NA, respectively. Conclusions These findings suggest that a history of MH disorders or NA is a potential barrier to KT. Whether targeted psychosocial support can improve access to KT for these patients requires further study. This single-center retrospective cohort analysis suggests that patients with a history of mental health disorders or nonadherence have lower chance to completing the workup and/or undergoing kidney transplantation, opening opportunities for investigations of targeted psychosocial support interventions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".