Physical Activity and Experience of Total Knee Replacement in Patients One to Four Years Postsurgery in the Dominican Republic: A Qualitative Study
Bibliographic record
Abstract
OBJECTIVE: Musculoskeletal disorders are the second leading cause of years lived with disability globally. Total knee replacement (TKR) offers patients with advanced arthritis relief from pain and the opportunity to return to physical activity. We investigated the impact of TKR on physical activity for patients in a developing nation. METHODS: As part of the Operation Walk Boston surgical mission program, we interviewed 18 Dominican patients (78% women) who received TKR about their level of physical activity after surgery. Qualitative interviews were conducted in Spanish, and English transcripts were analyzed using content analysis. RESULTS: Most patients found that TKR increased their participation in physical activities in several life domains, such as occupational or social pursuits. Some patients limited their own physical activities due to uncertainty about medically appropriate levels of joint use and postoperative physical activity. Many patients noted positive effects of TKR on mood and mental health. For most patients in the study, religion offered a framework for understanding their receipt of and experience with TKR. CONCLUSION: Our findings underscore the potential of TKR to permit patients in the developing world to return to physical activities. This research also demonstrates the influence of patients' education, culture, and religion on patients' return to physical activity. As the global burden of musculoskeletal disease increases, it is important to characterize the impact of activity limitation on patients' lives in diverse settings and the potential for surgical intervention to ease the burden of chronic arthritis.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".