P-175 Understanding the association between treatment modality versus employment status among patients with organ failure
Bibliographic record
Abstract
<h3>Objectives</h3> In advanced organ failure patients: (1) To study the association between treatment modality versus employment status, (2) To analyze socio-demographic profiles and deprivation status, and (3) To explore Return to Work (RTW) by analysis of self-reported employment status. <h3>Methods</h3> This ongoing hospital based cross-sectional study used a convenience sample: 1070 patients with advanced organ failure requiring solid organ transplant (SOT) or dialysis pooled from the Comprehensive Psychosocial Research Data System at UHN, Toronto. Patient reported outcome measures, clinical and socio-demographic variables were collected from stable outpatients on iPads using electronic data capture (DAta Driven Outcomes System-DADOS, Techna Institute, UHN, Toronto). The Ontario Marginalization Index characterized material deprivation. Data was analyzed using STATA v16, logistic regression used multiple imputation by chained equations. <h3>Results</h3> Of 1070 SOT recipients, 646 (60%) were males with 424 (40%) females. Almost half (49%) were of White ethnicity, Black (23%) followed by South Asians and East Asians. 63% (646) had >12 years education, the kidney-pancreas sub-group were highest 88% (30) then kidney, liver and dialysis with 65%, 62% and 59%, respectively. 51% of dialysis patients had a yearly income of $70,000. These results reflect the higher employment status of kidney (60%), liver (55%) and kidney-pancreas (51%) transplants compared to dialysis patients (28%). 59% of dialysis patients had high deprivation. The association between treatment modality vs employment status and employment status vs deprivation remained statistically significant after adjusting for age, sex, ethnicity and comorbidities in logistic regression models. <h3>Conclusion</h3> SOT was associated with significantly higher odds of employment and lower material deprivation. Dialysis, transplant and occupational health professionals should support SOT and dialysis patients overcoming barriers to maintain and RTW. RTW post-SOT is complex and likely associated with personal, professional, societal and medical factors.
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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 | 0.001 | 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".