Assessment of Readiness for Discharge and Its Psychosocial Determinants in Kidney and Liver Transplant Patients in Poland—A Cross-Sectional Analytical Study
Bibliographic record
Abstract
Background/Objectives: Readiness for hospital discharge after kidney and liver transplantation is a complex process influenced not only by clinical factors but also by psychological and social aspects. This cross-sectional, analytical study aimed to assess discharge readiness and examine the psychological and social factors affecting patients’ preparations for leaving the hospital among renal and liver transplant recipients. Methods: A diagnostic survey was conducted using standardized questionnaires, including assessment of readiness for discharge (based on Canadian Health Outcomes for Better Information and Care-C-HOBIC), Hospital Anxiety and Depression Scale (HADS), Multidimensional Scale of Perceived Social Support (MSPSS), and Resilience Measurement Scale (SPP-25). The collected data were analyzed using IBM SPSS Statistics version 28. The study included 117 recipients (31.6% liver, 68.4% kidney) who received transplants at centers in Poland between February and May 2025. Results: The average discharge readiness score was 34.51 ± 5.37. Overall, 79.5% of respondents had high discharge readiness, while 20.5% reported moderate readiness. A multiple regression model with eight predictors (SPP-25, HADS-depression, HADS-anxiety, Friends, Family, Significant person, Knowledge of self-care, Communication and information support) was statistically significant (F(8,108) = 11.629, p < 0.001), explaining 46.3% of the variance in discharge readiness (R2 = 0.463; adjusted R2 = 0.423). Knowledge of self-care emerged as the strongest predictor (B = 0.475, β = 0.577, t = 5.424, p < 0.001), followed by psychological resilience (SPP-25) (B = 0.011, β = 0.221, t = 2.381, p = 0.019). Other variables were not significant predictors (p > 0.05). Conclusions: Discharge readiness after kidney and liver transplantation is significantly affected by patients’ self-care knowledge and psychological resilience, highlighting the importance of education and psychological support in preparing patients for discharge.
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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".