BARRIERS AND FACILITATORS TO SOCIAL PARTICIPATION WHEN AGING WITH A LONG-TERM DISABILITY: A SCOPING STUDY
Bibliographic record
Abstract
Abstract Introduction Supporting the social participation of individuals aging with a long-term neurological disability contributes to active and healthy aging. However, knowledge about factors influencing the social participation of this population remains scarce. Objectives Integrate knowledge regarding the barriers and facilitators to social participation for people aging with a long-term neurological disability. Methods A scoping review following the Joanna Briggs Institute guidelines was conducted across four databases (MEDLINE, CINAHL, PsycInfo, and EMBASE). Analysis relied on the Human Development Model - Disability Creation Process (HDM-DCP). This study is reported according to the PRISMA extension for scoping review (PRISMA-ScR). Results Eighteen articles (8 quantitatives and 10 qualitatives) representing 1,319 participants and eight neurological conditions (e.g., stroke, multiple sclerosis, traumatic brain injury, spinal cord injury, aphasia, post-polio, spina bifida, and cerebral palsy) were included. Participants’ average age ranged from 53.4 to 72 years and the average time since their disability ranged from 5 to 46.26 years. A total of 26 barriers and 42 facilitators to social participation were identified. The most recurrent barriers were associated with the organic system (e.g., presence of comorbidities) and the societal environment (e.g., transportation accessibility). The most frequent facilitators included identity factors (e.g., acceptance of one’s condition) and the community environment (e.g., available social participation opportunities). Conclusion This study lays the groundwork for developing interventions aimed at promoting active and fulfilling aging among older adults with long-term disabilities. Supporting social participation for this population should involve harnessing individual strengths and environmental resources as well as eliminating environmental systematic barriers.
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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 | 0.035 | 0.075 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.014 | 0.016 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".