Integration of Objective Pain Assessment Technologies in OPD TKR Rehabilitation: Cross-sectional Analysis of Clinical Outcomes and Treatment Customization
Bibliographic record
Abstract
Background: In Pakistan, total knee replacement (TKR) is a common surgical intervention for end-stage knee osteoarthritis. Effective post-operative rehabilitation is essential for optimal outcomes, with pain management being a critical component. This cross-sectional study examines the integration of objective pain assessment technologies in outpatient rehabilitation settings and analyzes their relationship with clinical outcomes and treatment customization. Methods: This cross-sectional survey was conducted across three campuses of Dr. Ziauddin Hospital from August 2023 to March 2024. Data was collected from 245 post-TKR patients and 78 healthcare providers. Assessment included documentation of pain evaluation methods, rehabilitation protocols, clinical outcomes, and technology adoption factors. Statistical analysis examined associations between assessment methodologies and patient outcomes. Results: Among surveyed centres, 42.3% utilized at least one objective pain assessment technology, with significant regional variation. The most commonly employed technologies were digital pressure algometry (24.6%), simple mechanical goniometry (18.7%), and digital visual analogue scales (16.5%). Centres employing objective assessment tools reported significantly better pain management scores (mean difference 1.7, p<0.01) and higher patient satisfaction (73.8% vs. 58.4%, p<0.01). Treatment customization based on objective measurements was associated with improved functional outcomes measured by the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Conclusion: Integrating objective pain assessment technologies in post-TKR rehabilitation is associated with improved clinical outcomes and personalized treatment approaches. However, significant barriers include cost constraints, technical expertise limitations, and infrastructure challenges. Strategies to address these barriers could significantly enhance rehabilitation quality and patient outcomes across Pakistan’s diverse healthcare setting. DOI: https://doi.org/10.59564/amrj/03.02/007
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".