Satisfaction With Services Among Attendees of Physiotherapy Outpatient Clinics in Tertiary Hospitals in Lagos State
Bibliographic record
Abstract
Aim: To determine outpatients’ satisfaction with physiotherapy services in tertiary hospitals in Lagos State, Nigeria. Method: This cross-sectional study utilized a simple random sampling method to recruit 284 participants. Participants responded to a 2-part structured questionnaire with 33-items on a 5-point Likert-type scale. Participants were asked questions about their satisfaction with physiotherapy services, staff attitudes, and the accessibility of outpatient physiotherapy clinics. Data were analyzed using descriptive analysis and χ 2 . Results: About 28.8% of the participants were satisfied or very satisfied with the location of the outpatient physiotherapy clinics. The majority of the participants were satisfied or very satisfied with these physiotherapy services in maintaining privacy (86.2%), scheduling convenient clinic appointments (78.2%), prompt scheduling of the first physiotherapy clinic appointment (74.6%) and subsequent visits (78.9%), and providing a calm/relaxing atmosphere (90.1%). While 22.5% of the participants were satisfied or very satisfied with the waiting time in these physiotherapy clinics, 86.3% and 97.9% were satisfied or very satisfied with staff attitudes and the cost of the therapy, respectively. Almost all (97.9%) the participants reported being satisfied or very satisfied with their overall experience in the physiotherapy clinics. While there was an association between marital and educational status with overall satisfaction scores, age and gender showed no association. Conclusion: Our findings suggest that patients attending the outpatient physiotherapy clinics in tertiary hospitals in Lagos State, Nigeria, were satisfied or very satisfied with the domain that measured overall satisfaction. Strategies to reduce the waiting time in these physiotherapy clinics and to enhance physical accessibility of the physiotherapy clinics are encouraged.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".