Psychological adjustment of critically injured patients three months after an unexpected, potentially life‐threatening accident
Bibliographic record
Abstract
• Cognitive processing and meaning theories suggest that a patient’s psychological adjustment following a traumatizing event depends on an ability to cognitively integrate the trauma event and restore a sense of meaning in life. These processes may be facilitated by using coping strategies such as sharing concerns, mobilizing support, and reframing. • A correlational study explored the magnitude of the relationships between psychological adjustment, cognitive processing, sense of meaning, and coping strategies in critically injured patients 3 months after a potentially life‐threatening injury. • Fifty‐one critically injured patients completed the Brief Symptom Inventory, Bradburn’s Psychological Well‐Being Scale, Impact of Events Scale, the Meaning‐of‐Illness Questionnaire, and Family Crisis‐Oriented Personal Evaluation Scale in face‐to‐face interviews 8–12 weeks after the accident. Bivariate and partial correlation coefficients were used to test the main hypothesis, and Pearson correlation coefficients, to address the three research questions. • The main hypothesis that psychological adjustment will be significantly related to cognitive processing, sense of meaning, and use of coping strategies in critically injured patients 3 months after the accident was partially upheld. • Depressive symptomatology was found to be significantly associated with increased cognitive processing efforts and a decreased ability to acknowledge the accident’s negative effects on the self. • In contrast, psychological well‐being was found to be significantly associated with decreased cognitive processing efforts and an increased ability to acknowledge the accident’s negative effects on the self. • Restoring a sense of meaning, however, was found to be unrelated to sharing concerns, mobilizing support and re‐framing. The potential theoretical and clinical implications of the findings for nursing practice are discussed.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".