Investigating the association between demographic factors and patient satisfaction with recovery in the early phase after non-catastrophic musculoskeletal injuries: a cross-sectional study
Bibliographic record
Abstract
Orthopedic injuries can negatively impact both the physical and mental health of patients. Ensuring patient satisfaction with their recovery is crucial for meeting patient-centered goals and enhancing overall health outcomes. We aimed to investigate whether satisfaction with recovery can be predicted based on demographic information and baseline characteristics in people with non-catastrophic musculoskeletal trauma. Participants with acute musculoskeletal injuries were recruited. The Satisfaction and Recovery Index (SRI) was used to assess the patient’s satisfaction with their recovery. A multivariable linear regression model was created to determine factors that are associated with SRI scores. A total of 100 patients participated, with a mean age of 32 years and 82% male. The majority had a high school education or lower, were employed, and sustained left-side injuries. Injuries were most often fractures/dislocations caused by motor vehicle collisions. The results of the multivariable linear regression analysis indicated no significant factors predicting satisfaction with recovery. The studied demographic variables and baseline characteristics are not associated with the level of satisfaction with recovery among patients with non-catastrophic musculoskeletal trauma. Clinicians can use these findings to rule out these variables as contributors to low (or high) satisfaction with recovery. Future studies must assess the contribution of other probable and relevant psychological and social characteristics. Chronic pain that persists after an orthopedic injury can have a significant negative impact on a patient's mental health. It is also linked to poor quality of life, delayed return to work, and a high socio-economic burden. Preventing these issues early in the recovery process and ensuring patients’ satisfaction with recovery is essential to avoid chronicity and to help them resume baseline levels of activity and work status. In this study, we examined the demographic characteristics of patients to determine if they can predict the level of satisfaction with recovery after orthopedic trauma and the results suggest that these factors are not associated with patients’ level of satisfaction with their recovery. This pivotal finding shifts the focus to other potential contributors, such as psychological ones, in understanding patient recovery experiences. By recognizing that these factors do not play a significant role in patient satisfaction, healthcare providers are encouraged to delve deeper into the psychological and social dimensions that might influence patients’ satisfaction with recovery
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".