ArticleJournal of racial and ethnic health disparities2026
The Impact of the Area Deprivation Index on Knee and Hip Health.
Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Development of Machine Learning Algorithms Predicting Psychological Distress After Total Joint Arthroplasty.The Journal of arthroplasty · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRacial and ethnic disparities have been widely reported in orthopaedic surgery, but recommendations for meaningful change remain limited. This study aimed to quantify the extent to which the relative socioeconomic differences of neighborhoods contribute to health inequity.
methodsA survey assessing a wide range of social determinants of health and patient-reported outcome measures was administered to 503 patients presenting to a multi-disciplinary orthopaedic clinic. Area Deprivation Index (ADI) was used as a neighborhood disparity indicator along with patient reported demographics, social, medical, and economic characteristics. Multivariable logistic regression analyses were performed to assess factors associated with lower Knee and Hip Disability and Osteoarthritis Outcome Scores (KOOS Jr. & HOOS Jr.).
resultsSignificant factors associated with lower hip and knee functional outcomes included advanced age, BMI ≥ 40.0 kg/m
conclusionsThe association between socioeconomic deprivation and the burden of knee and hip pain was better explained by direct patient factors such as race, advanced age, higher BMI, opioid use, non-English literacy, and longer distances traveled rather than indirect factors such as the ADI.
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Registered trials
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