Perspectives of basic wheelchair users on improving their access to wheelchair services in Kenya and Philippines: a qualitative study
Bibliographic record
Abstract
BACKGROUND: The United Nations has called for countries to improve access to mobility devices when needed. The World Health Organization has published guidelines on the provision of manual wheelchairs in less-resourced settings. Yet little is known about the extent to which appropriate wheelchairs are available and provided according to international guidelines. This study's purpose was to describe wheelchair users' experiences receiving services and acquiring wheelchair skills in urban and peri-urban areas of Kenya and the Philippines. METHODS: Local researchers in Nairobi and Manila interviewed 48 adult basic wheelchair users, with even distribution of those who had and had not received wheelchair services along with their wheelchair. Recordings were transcribed in the local language and translated into English. The study team coded transcripts for predetermined and emergent themes, using Atlas-ti software. A qualitative content analysis approach was taken with the WHO service delivery process as an organizing framework. RESULTS: Wheelchair users frequently described past experiences with ill-fitting wheelchairs and little formal training to use wheelchairs effectively. Through exposure to multiple wheelchairs and self-advocacy, they learned to select wheelchairs suitable for their needs. Maintenance and repair services were often in short supply. Participants attributed shorter duration of wheelchair use to lack of repair. Peer support networks emerged as an important source of knowledge, resources and emotional support. Most participants acknowledged that they received wheelchairs that would have been difficult or impossible for them to pay for, and despite challenges, they were grateful to have some means of mobility. Four themes emerged as critical for understanding the implementation of wheelchair services: barriers in the physical environment, the need for having multiple chairs to improve access, perceived social stigma, and the importance of peer support. CONCLUSIONS: Interventions are needed to provide wheelchairs services efficiently, at scale, in an environment facilitating physical access and peer support, and reduced social stigma. TRIAL REGISTRATION: Not applicable since this was a descriptive study.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".