Geriatric physiotherapy care: exploring the state of affairs in southeast Nigeria
Bibliographic record
Abstract
Background: Decline in physical functioning due to aging necessitates geriatric physiotherapy role to improve well-being and quality of life.Aims: To examine the approaches adopted in the physiotherapy care of older adults, the facilitating and the limiting factors to geriatric physiotherapy care in southeast Nigeria. Material and methods:This evaluative qualitative research explored the situation of the geriatric care of older adults in southeast Nigeria using face-to-face interviews of purposefully selected 8 physiotherapists and 8 caregivers.Data obtained were analyzed using thematic analysis.Results: Three major themes emerged, including an overview, approaches, and factors influencing geriatric physiotherapy care.This study supported that geriatric physiotherapy care in Nigeria is at its developing stage.However, it is thriving due to the committed efforts of the physiotherapy department leadership and the presence of a continued professional development program.On the other hand, there are delimiting factors like long waiting times, limited working space and tools, the overwhelming cost of the care, and physiotherapists' dissatisfaction with a late referral from other care professionals.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".