Effect of integrative nursing practices on cognitive recovery among severe traumatic brain injury patients
Bibliographic record
Abstract
Background and objective: Cognitive recovery after severe traumatic brain injury (TBI) is the biggest challenge facing the critical care nurses (CCNs). Several studies have been reported that the majority of CCNs are concerned with providing conventional nursing practices to severe TBI patients. These practices are directed to stabilize patients’ status rather than to enhance cognitive recovery after TBI. Application of integrative nursing practices for TBI patients can help in enhancing cognitive recovery. Aim: This study aimed to determine the effect of integrative nursing practices on cognitive recovery among severe traumatic brain injury patients.Methods: A quasi experimental research design was utilized. A convenience sample was conducted on 60 adult patients suffering from severe TBI who admitted to the intensive care units of Alexandria Main University Hospital. Patients were assigned into study group (30 patients) and control group (30 patients). One tool was used for data collection namely “Cognitive Recovery Assessment Tool”. This tool was used to assess recovery of cognitive function domains. It consists of level of consciousness using Full Outline of Un-Responsiveness (FOUR) score, level of cognitive functioning using Rancho Los Amigos (RLA) scale and basic cognitive sensory recovery assessment using Western Neuro Sensory Stimulation Profile (WNSSP) scale.Results: The implementation of integrative nursing practices for the study group was associated with statistically significant positive effects. Patients in the study group showed higher means of consciousness revealed by FOUR score and cognitive function revealed by RLA scale. The basic cognitive sensory recovery revealed by WNSSP scale in the study group was also significantly improved.Conclusions: Implementation of integrative nursing practices has been shown to enhance cognitive recovery among severe TBI patients. Thus, it is recommended for use in a nurse’s daily routine of care for severe TBI patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".