EP6.6 Caregiver Burden Following Hip Arthroscopic Surgery – A Cross Sectional Survey Study
Bibliographic record
Abstract
Abstract Background: Hip arthroscopy, increasingly used for conditions like acetabular labral tears and femoroacetabular impingement (FAI), offers benefits as a minimally invasive, outpatient procedure. However, it requires substantial support from informal caregivers (e.g., family members, friends), potentially leading to caregiver burden. This study aimed to evaluate the burden on primary informal caregivers of patients post-hip arthroscopy and identify factors associated with increased caregiver burden. Methods: Conducted at a single academic hospital, this cross-sectional study enrolled caregivers of patients who underwent hip arthroscopy from November 2018 to November 2023. Data were collected using a survey developed for the study and the Caregiver Burden Inventory (CBI), a validated instrument that measures time dependence, physical, social, developmental, and emotional burden. Multivariable linear regression models identified predictors of caregiver burden, with the global CBI score serving as the primary outcome measure. Secondarily, open-ended survey responses were analyzed qualitatively using content analysis to identify specific caregiving challenges and facilitators, as reported by the caregivers. Results: The study included 99 caregivers, with an average age of 47 years, primarily female (58%) and relatives of the patients (85%). The patients themselves had a median age of 30 (interquartile range (IQR), 18 to 40) years. The median global CBI score was 13.0 (IQR, 8.0 to 22.4), with 20 (20%) perceiving a high level of burden and indicating a need for respite. Regression analysis revealed that younger caregiver age (β=-0.277; 95% confidence interval (CI) = -0.513 to -0.042; p=0.021) and a higher number of caregiving tasks (β=2.26; 95%CI=0.610 to 3.91; p=0.008) were significantly associated with increased global burden. Additionally, non-weightbearing status of patients (ꞵ=2.08; 95%CI= 0.057 to 4.11; p=0.044), reported female gender of caregivers (ꞵ=1.80; 95%CI= 0.194 to 3.40; p=0.028) and not working full-time (ꞵ=1.34; 95%CI= 0.309 to 2.37; p=0.012) were significantly associated with greater time dependency, development and social relationship dimensions of caregiver burden, respectively. Conclusion: Despite typically being an outpatient surgery, this study highlights the meaningful burden faced by caregivers of patients undergoing hip arthroscopy. Risk factors such as younger caregiver age, female gender of the caregiver, non-weight-bearing status of the patient, and increased caregiving tasks suggest targeted areas for intervention.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".