Environmental determinants for participation among stroke survivors in Africa, a scoping review
Bibliographic record
Abstract
Purpose: In this review, we aimed to determine the environmental factors that are influencing the participation of stroke survivors in Africa. Methods: Four electronic databases were systematically searched from inception to August 2021, and identified articles were screened by the two authors of this review based on predetermined criteria. No date restrictions were imposed, and we included any type of paper, including gray literature. We followed the scoping review framework by Arksey and O'Malley, which was later revised by Levac et al. The whole finding is reported using the preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews (PRISMA-ScR). Results: A total of 584 articles were generated by the systematic search, and one article was added manually. After eliminating the duplicates, the titles and abstracts of 498 articles were screened. From the screening, 51 articles were selected for full article review, of which 13 met the criteria to be included. In total, 13 articles were reviewed and analyzed based on the international classification of functioning, disability, and health (ICF) framework of the environmental determinants. Products and technology; natural environment and human-made changes to environment; and services, systems, and policies were found to be barriers for stroke survivors to participate in their community. Conversely, stroke survivors are getting good support from their immediate family and health professionals. Conclusion: This scoping review sought to identify the environmental barriers and the facilitators that are determining the participation of stroke survivors in Africa. The results of this study can serve as a valuable resource for policymakers, urban planners, health professionals, and other stakeholders involved in disability and rehabilitation. Nonetheless, additional research is necessary to validate the identified facilitators and 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 | 0.013 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.012 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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".