Insights into the provision of physical therapy services at public sector hospitals in Pakistan: an exploratory qualitative study
Bibliographic record
Abstract
OBJECTIVES: Although physical therapy services are a part of the Essential Package of Health Services in Pakistan, they do not receive their due importance. This qualitative study aimed to explore the in-depth insights regarding the factors that influence the provision of physical therapy services in public sector hospitals of Karachi, Pakistan using the WHO's health systems framework. DESIGN: Exploratory qualitative study. SETTING AND PARTICIPANTS: Three public sector hospitals located in Karachi, Pakistan were selected for this study. In-depth interviews were conducted with a total of 12 physical therapists working in the outpatient departments of the selected hospitals. RESULTS: Findings were categorised into six major themes within the health systems framework, shedding light on various factors influencing the quality of care provided to the patients. These encompass issues such as inappropriate facility infrastructure, limited staff availability and competency, challenges with equipment adequacy and functionality, insufficient financial support, low staff incentivisation and the absence of a regulatory council. CONCLUSION: The findings exhibited that the physical therapy services are constrained by various factors at the public sector hospitals in Pakistan. Improvement is recommended at various levels to increase the adequate staffing, financial support, provide the necessary equipment and ensure its functionality. The development of the regulatory council for physical therapy services is the need of the time to address the above solutions.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".