Rehabilitation of adult electrical injury survivors: A scoping review
Bibliographic record
Abstract
BACKGROUND: Electrical injuries (EIs) result in severe damage to multiple body systems and pose significant challenges for recovery, often leading to prolonged hospital stays, delayed return to work, and higher rates of mental health issues. While EI survivors face unique physical, neurological, and psychological challenges distinct from other burn injury survivors, there is a lack of research on rehabilitation specific to this population. OBJECTIVE: The purpose of this scoping review is to synthesize the available literature on what rehabilitation interventions entail for EI survivors and examine how the evidence base has evolved over time. METHODS: This scoping review followed the methodology outlined by the Joanna Briggs Institute (JBI). Studies were identified through PsycINFO, OVID MEDLINE, EMBASE, Healthstar, AMED, Web of Science, Scopus, and CINAHL, including CINAHL Plus with Full Text. Included articles must have focused on adult EI survivors who received rehabilitation. Year of publication, country of study, type of rehabilitation intervention, rehabilitation professionals involved, place of rehabilitation, duration and frequency of rehabilitation, outcome measures, and findings were extracted. RESULTS: 53 studies were included in this review. Our scoping review mapped the literature on rehabilitation for EI survivors, highlighting a predominant focus on physical interventions, with some recent attention to psychological and social outcomes. Most studies were case reports, showing inconsistencies in intervention characteristics and outcome reporting. CONCLUSION: The review emphasizes the need for comprehensive, multidisciplinary approaches, standardized reporting guidelines, and future research, including RCTs, to improve rehabilitation and inform clinical practice guidelines for EI survivors. By identifying gaps in knowledge and offering recommendations for future research, our review serves as a roadmap for advancing the care and treatment of EI survivors.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".