Social determinants of health influence clinical outcomes of patients undergoing rotator cuff repair: a systematic review
Bibliographic record
Abstract
BACKGROUND: Social determinants of health (SDOH) are the collection of environmental, institutional, and intrinsic conditions that may bias access to, and utilization of, health care across an individual's lifetime. The effects of SDOH are associated with disparities in patient-reported outcomes after hip and knee arthroplasty, but its impact on rotator cuff repair (RCR) is poorly understood. This study aimed to investigate the influences that SDOH have on accessing appropriate orthopedic treatment, as well as its effects on patient-reported outcomes following RCR. METHODS: This systematic review was performed in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and guidelines outlined by the Cochrane Collaboration. A search of PubMed, the Cochrane Library, and Embase from inception until March 2022 was conducted to identify studies reporting at least 1 SDOH and its effect on access to health care, clinical outcomes, or patient-reported outcomes following RCR. The search term was created with reference to the PROGRESS-Plus framework. Methodological quality of included primary studies was appraised using the Newcastle-Ottawa Scale (NOS) for nonrandomized studies, and the Cochrane Risk of Bias Tool for randomized studies. RESULTS: Thirty-two studies (level I-IV evidence) from 18 journals across 7 countries, published between 1999 and 2022, met inclusion criteria, including 102,372 patients, 669 physical therapy (PT) clinics, and 71 orthopedic surgery practices. Multivariate analysis revealed female gender, labor-intensive occupation and worker's compensation claims, comorbidities, tobacco use, federally subsidized insurance, lower education level, racial or ethnic minority status, low-income place of residence and low-volume surgery regions, unemployment, and preoperative narcotic use contribute to delays in access to health care and/or more severe disease state on presentation. Black race patients were found to have significantly worse postoperative clinical and patient-reported outcomes and experienced more pain following RCR. Furthermore, Black and Hispanic patients were more likely to present to low-volume surgeons and low-volume facilities. A lower education level was shown to be an independent predictor of poor surgical and patient-reported outcomes as well as increased pain and worse patient satisfaction. Patients with federally subsidized insurance demonstrated significantly worse postoperative clinical and patient-reported outcomes CONCLUSIONS: The impediments created by SDOH lead to worse clinical and patient-reported outcomes following RCR including increased risk of postoperative complications, failed repair, higher rates of revision surgery, and decreased ability to return to work. Orthopedic surgeons, policy makers, and insurers should be aware of the aforementioned SDOH as markers for characteristics that may predispose to inferior outcomes following RCR.
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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 | 0.009 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.013 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".