Concept Analysis of Posttraumatic Stress Disorder
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Mental health nursing is not the same as psychiatry, so it is important for nurses to have an understanding of the defining attributes, antecedents, consequences, model cases, and empirical referents of post-traumatic stress disorder (PTSD). METHOD: Walker and Avant's (2005) method is used to guide this concept analysis of PTSD. FINDINGS: Four attributes arise from this concept analysis, which are addressed through both the DSM-IV and DSM-5 (American Psychiatric Association, /): triggering event or events, re-experiencing, fear, and helplessness. Though a majority of the defining attributes are addressed through both versions of the DSM, a key fifth attribute arises through this concept analysis: a disruption of meaning. CONCLUSIONS: A better understanding of PTSD from a nursing perspective will help inform appropriate nursing interventions and prevention strategies, while expanding the knowledge synthesis and contribution of the nursing profession. PRACTICE IMPLICATIONS: A model case, borderline case, and contrary case of PTSD are provided. Discussion of the importance of a lack or loss of meaning in PTSD is included, along with exploration of transformative learning theory to inform clinical practice for nurses addressing a disruption of meaning.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it