Patterns of patient coping following hospital discharge from medical and surgical units: A pilot study
Bibliographic record
Abstract
A pilot study was conducted to determine the feasibility of a longitudinal investigation of patients' coping during the early postdischarge period. Recruitment was conducted on a general medical unit and a surgical orthopedic unit. Forty-four participants were recruited with 95% retention. Demographic characteristics plus measures of discharge risk and perceived readiness (expected coping) were collected before discharge. Measures of coping (experienced) and the use of supports and services were collected on the first day postdischarge, the end of the first week, and during weeks 3 and 5. Considerable variability was evident in coping scores, and not all participants exhibited improvement over time. Four patterns of coping were identified: ongoing recovery, initial shock, bumpy road, and progressive decline. Further investigation is required to validate the observed coping patterns. A better understanding of conditions affecting patient coping during the transition from hospital to home will support efforts to reduce unplanned use of acute care services.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".