Integrating the perspectives of individuals with spinal cord injuries, their family caregivers and healthcare professionals from the time of rehabilitation admission to community reintegration: protocol for a scoping study on SCI needs
Bibliographic record
Abstract
Introduction There is fragmented information about the different needs following a spinal cord injury (SCI). Expressed SCI needs can be met or unmet, they change along the rehabilitation continuum (eg, acute, rehabilitation and reintegration into the community) and can be different for traumatic and non traumatic SCI. The general objective of this scoping study is to evaluate and integrate the needs of individuals with traumatic and non-traumatic SCI, their family caregivers and those reported by rehabilitation professionals from the time of rehabilitation admission to community reintegration. The specific objectives are to: (A) synthesise the needs of individuals with SCI as perceived by themselves, their family caregivers and rehabilitation professionals using two theoretical models, (B) classify needs as met and unmet, (C) explore the evolution of met/unmet needs from the time of rehabilitation admission to community reintegration and (D) provide recommendations to improve SCI care. Methods and analysis (A) identifying the most frequent met and unmet needs reported by adults with traumatic and non-traumatic SCI, their family caregivers and their rehabilitation professionals from the time of rehabilitation admission to community reintegration; (B) identifying relevant studies with a search in electronic databases; (C) charting the data based on categories refined and adjusted with a stakeholder group; (D) collating, summarising and reporting the results using two analytical frameworks (Maslow's hierarchical model of human needs and the Ferrans et al 's model of health-related quality of life) and (E) a stakeholder consultation phase. Ethics and dissemination The results of this scoping study will allow understanding SCI needs from the time of rehabilitation admission to community reintegration from the perspective of different stakeholders. An integrated master report combining the needs of individuals with SCI from the perspectives of different stakeholders from the time of rehabilitation admission to community reintegration will follow the consultation meetings.
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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 | 0.089 | 0.070 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.008 | 0.011 |
| Bibliometrics | 0.013 | 0.010 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".