Child and Family Factors Associated With Posttraumatic Stress Responses Following a Traumatic Medical Event: The Role of Medical Team Support
Bibliographic record
Abstract
OBJECTIVES: This study examined the contribution of pretrauma psychosocial factors (child emotional functioning, family resources, family functioning, and social support) and environmental factors (mother's posttraumatic stress symptoms [PTSSs], medical team support [MTS]) to PTSSs of injured or seriously ill children within a pediatric rehabilitation setting. It was hypothesized that psychosocial variables would be strongly associated with child's PTSS; that mother's PTSS and MTS would mediate the association between psychosocial factors and child's PTSS; that mother's report on child's PTSS would mediate the association between mother's PTSS and child's PTSS. METHODS: Participants were 196 children hospitalized following an injury/illness and assessed M = 47.7 days postevent. Children completed measures of PTSS, mothers completed measures of their own PTSS, child's PTSS, and pretrauma psychosocial factors. Family's therapist completed a MTS measure. Structural equation modeling was employed to evaluate the study hypotheses. RESULTS: Pretrauma family structure and resources were associated with child's self-reported PTSS; each pretrauma variable and mother's report of child's PTSS was significantly associated. Although mother's PTSS was not directly associated with child's PTSS, this relationship was mediated by mother's report of child's PTSS. MTS mediated the relationship between pretrauma social support and mother's PTSS. CONCLUSION: This study further explicates the utility of a biopsychosocial framework in predicting childhood PTSS. Findings confirm the role of pretrauma factors and environmental factors at the peritrauma period in the development of PTSS following a pediatric injury/illness. Mother's PTSS and MTS may be appropriate targets for prevention and early intervention.
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".