Risk factors of post discharge falls in patients undergoing total knee arthroplasty: An integrative review
Bibliographic record
Abstract
BACKGROUND: Total knee arthroplasty (TKA) is a widely performed surgical procedure aimed at alleviating pain and restoring functionality in individuals suffering from knee osteoarthritis. Despite substantial benefits of TKA, patients are exposed to potential risks, including the occurrence of falls during their recovery period following discharge from the hospital. OBJECTIVE: This integrative review endeavors to comprehensively investigate the existing body of literature to identify and assess the diverse factors that contribute to occurrence of post-discharge falls among TKA patients. Through the synthesis of available research, this study seeks to offer valuable insights that can guide clinical practices and interventions designed to mitigate the incidence of post-TKA falls, ultimately enhancing patient outcomes and quality of healthcare. METHODS: An integrative review was conducted and databases were searched including Pubmed, PEDro, Cochrane, and SPORTDiscus from 2000 to 2024. A thorough search was performed to retrieve articles missed through databases as well as unpublished grey literature. Methodological quality assessment was performed using Newcastle-Ottawa Scale for Case Control and Cohort studies and AXIS tool for cross-sectional study. RESULTS: Eleven articles finally met the inclusion criteria and were included in the review based on eligibility. There were 8 cohort studies (7 prospective cohorts, 1 retrospective cohort), 2 case control studies, and 1 cross-sectional study. The prospective cohort studies included in the review collected data in real-time as events occurred, making them particularly relevant for studying post-TKA falls. CONCLUSION: Patients who underwent TKA are at risk of post-discharge falls. Several key risk factors have been identified, including advancing age, female gender, reduced proprioception, psychiatric disorders, living alone, and knee pain in the operated knee. It is important to recognize that the significance of these risk factors can vary depending on individual circumstances and contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".