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Background: Since various social determinants of health (SDOH) have the potential to impact the utilization and postoperative outcomes of rotator cuff repair (RCR), a review of the literature is warranted. Therefore, the purpose of this systematic review was to evaluate the effects of SDOH on RCR utilization and postoperative outcomes in order to recognize external factors that may influence patients' access to RCR and optimal clinical outcomes. Methods: Search terms related to RCR, utilization, outcomes, and SDOH were used to identify studies that reported associations between any SDOH (as defined by the World Health Organization) and RCR utilization, access, cost, or postoperative outcomes. Articles that did not isolate RCR or did not evaluate an SDOH were excluded. Nonrandomized studies were evaluated for study quality using the Methodological Index for Nonrandomized Studies score. Due to the heterogeneity of the reported data, only qualitative analysis was possible. Results: Overall, 842 articles were considered for inclusion and 14 studies were included in qualitative analysis. The average Methodological Index for Nonrandomized Studies score of included studies was 14.1 ± 5.0. The SDOH most frequently evaluated were insurance status and race/ethnicity. Non-White race is associated with lower odds of surgery and physical therapy (PT) utilization, as well as delayed treatment. Similarly, public insurance is associated with lower PT and surgery utilization rates and decreased acceptance for postoperative PT. Postoperatively, public insurance is associated with worse patient-reported outcome scores and lower return to work rates. Conclusion: Various SDOH can influence access, utilization, and outcomes of RCR. Orthopedic surgeons should be aware of how factors of race and insurance type can influence a patient's treatment and recovery after RCR.
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BACKGROUND: As internet access continues to expand, online health care information is increasingly influencing patient decisions. Mohs micrographic surgery (MMS) is commonly used in the field of dermatology but may be unfamiliar to many patients. OBJECTIVE: The purpose of this study was to identify and analyze online educational resources regarding MMS and learn how to optimize the understanding and informational content of MMS for patients and their families. MATERIALS AND METHODS: Thirty-two websites were evaluated for authorship, quality, and readability using DISCERN, JAMA Benchmark Criteria, and Flesch-Kincaid tests. RESULTS: Physician-authored content showed a trend toward higher quality (p = .058). Google scored higher in specific DISCERN questions when overlapping websites were excluded. Bing scored higher in JAMA criteria (p = .03) in criteria such as authorship and currency. Higher DISCERN scores correlated with lower readability. CONCLUSION: Physician involvement improves content quality, raising questions about physicians' responsibility in online resource creation. Correlations between content quality and readability highlight potential challenges for certain demographics. Balancing medical accuracy with comprehensibility is crucial for equitable patient education. This study underscores the need to refine online resources, ensuring accurate, transparent, and accessible health care information.
RESUMEN
Objective: Cardiometabolic risk factors have been shown to decrease biologic efficacy in patients treated for inflammatory conditions. The purpose of this systematic review is to provide a qualitative evaluation of studies investigating biologic response among psoriasis patients with cardiometabolic comorbidities. Methods: A comprehensive review was conducted according to the Preferred Reporting Guidelines for Systematic Reviews and Meta-Analysis guidelines to screen for studies including patients with cardiometabolic risk factors receiving biologic therapy for psoriasis. Studies not including a Psoriasis Area and Severity Index (PASI) score to evaluate treatment outcomes were not included. All studies underwent quality/bias analysis using the Methodological Index for Non-Randomized Studies (MINORS) scale. Results: Obesity and Body Mass Index (BMI) were the most studied cardiometabolic risk factors. The majority of the studies reported a lower frequency of achieving PASI75 and PASI90 response with increasing BMI/obesity rates. Diabetes and hypertension showed similar findings but were not studied as frequently. Hyperlipidemia and other lipid disorders were less frequently studied. Conclusion: Relationships between cardiometabolic risk factors and lower frequencies of achieving PASI75/90 exist in current literature. This qualitative systematic review reports evidence of lower PASI75 and PASI90 response rates in the presence of cardiometabolic risk factors.