Breakout Session: Sex/Gender and Racial/Ethnic Disparities in the Care of Osteoporosis and Fragility Fractures

Neuman, Mark D.; Kennelly, Ann M.; Tosi, Laura L.

doi:10.1007/s11999-011-1859-1

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…(128) This work highlights the need for greater and effective education strategies for providers on bone health and management strategies, particularly with a culturally relevant lens. (128) Initiatives by NOF and the American Orthopaedic Association (Bone ECHO) have incorporated more information for providers on racial differences in bone health, but more is needed, particularly at the primary care level, where osteoporosis is primarily managed.…”

Section: Healthcare Provider-level Strategiesmentioning

confidence: 99%

“…Healthcare providers' attitudes toward diagnosis and treatment of osteoporosis have been documented as major factors impacting recommendations for screening. ( 127 ) In a breakout session of the 2010 American Academy of Orthopaedic Surgeons/Orthopaedic Research Society/Association of Bone and Joint Surgeon Musculoskeletal Health Disparities Research Symposium, two of three factors identified that contribute to disparities in osteoporosis care among ethnic minority populations and men included: (i) “lack of awareness among healthcare providers and the public regarding the need for osteoporosis screening and prevention among non‐white and male patients, and (ii) “gaps in knowledge regarding the effectiveness of differing approaches to screening and medical management of osteoporosis, particularly among non‐white and male patients.” ( 128 ) This work highlights the need for greater and effective education strategies for providers on bone health and management strategies, particularly with a culturally relevant lens. ( 128 ) Initiatives by NOF and the American Orthopaedic Association (Bone ECHO) have incorporated more information for providers on racial differences in bone health, but more is needed, particularly at the primary care level, where osteoporosis is primarily managed.…”

Section: Strategies For Addressing Racial and Ethnic Bone Disparitiesmentioning

confidence: 99%

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Racial and Ethnic Disparities in Bone Health and Outcomes in the United States

Noël

Santos

Wright

2020

Journal of Bone and Mineral Research

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Osteoporosis is a bone disease classified by deterioration of bone microarchitecture and decreased bone strength, thereby increasing subsequent risk of fracture. In the United States, approximately 54 million adults aged 50 years and older have osteoporosis or are at risk due to low bone mass. Osteoporosis has long been viewed as a chronic health condition affecting primarily non‐Hispanic white (NHW) women; however, emerging evidence indicates racial and ethnic disparities in bone outcomes and osteoporosis management. The primary objective of this review is to describe disparities in bone mineral density (BMD), prevalence of osteoporosis and fracture, as well as in screening and treatment of osteoporosis among non‐Hispanic black (NHB), Hispanic, and Asian adults compared with NHW adults living on the US mainland. The following areas were reviewed: BMD, osteoporosis prevalence, fracture prevalence and incidence, postfracture outcomes, DXA screening, and osteoporosis treatments. Although there are limited studies on bone and fracture outcomes within Asian and Hispanic populations, findings suggest that there are differences in bone outcomes across NHW, NHB, Asian, and Hispanic populations. Further, NHB, Asian, and Hispanic populations may experience suboptimal osteoporosis management and postfracture care, although additional population‐based studies are needed. There is also evidence that variation in BMD and osteoporosis exists within major racial and ethnic groups, highlighting the need for research in individual groups by origin or background. Although there is a clear need to prioritize future quantitative and qualitative research in these populations, initial strategies for addressing bone health disparities are discussed. © 2021 American Society for Bone and Mineral Research (ASBMR).

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Section: Healthcare Provider-level Strategiesmentioning

confidence: 99%

Section: Strategies For Addressing Racial and Ethnic Bone Disparitiesmentioning

confidence: 99%

Racial and Ethnic Disparities in Bone Health and Outcomes in the United States

Noël

Santos

Wright

2020

Journal of Bone and Mineral Research

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“…According to the World Health Organization (WHO), osteoporosis is diagnosed by measuring the bone mineral density (BMD) of the femoral neck using dual-energy X-ray absorption (DXA) [3] and is defined as BMD ≥ 2.5 standard deviations (SDs) below the average value of the young white female reference population (T-score ≤ −2.5), whereas low bone mass (or osteopenia) is defined as ≥1.0 SD but <2.5 SDs below the average value of the young white female reference population (−2.5 < T-score ≤ −1.0) [4]. Despite being the gold standard for osteoporosis diagnosis, DXA has not been adequately applied in osteoporosis screening because of its low availability, high cost [5], lack of public awareness of osteoporosis [6], lack of financial incentives to promote osteoporosis screening [7], and lack of DXA prescriptions [8].…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Accuracy of Deep Learning for the Prediction of Osteoporosis Using Plain X-rays: A Systematic Review and Meta-Analysis

Yen,

Ho,

Chen

et al. 2024

Diagnostics

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(1) Background: This meta-analysis assessed the diagnostic accuracy of deep learning model-based osteoporosis prediction using plain X-ray images. (2) Methods: We searched PubMed, Web of Science, SCOPUS, and Google Scholar from no set beginning date to 28 February 2023, for eligible studies that applied deep learning methods for diagnosing osteoporosis using X-ray images. The quality of studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 criteria. The area under the receiver operating characteristic curve (AUROC) was used to quantify the predictive performance. Subgroup, meta-regression, and sensitivity analyses were performed to identify the potential sources of study heterogeneity. (3) Results: Six studies were included; the pooled AUROC, sensitivity, and specificity were 0.88 (95% confidence interval [CI] 0.85–0.91), 0.81 (95% CI 0.78–0.84), and 0.87 (95% CI 0.81–0.92), respectively, indicating good performance. Moderate heterogeneity was observed. Mega-regression and subgroup analyses were not performed due to the limited number of studies included. (4) Conclusion: Deep learning methods effectively extract bone density information from plain radiographs, highlighting their potential for opportunistic screening. Nevertheless, additional prospective multicenter studies involving diverse patient populations are required to confirm the applicability of this novel technique.

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Health Disparities

Thomas

2023

Springer Texts in Social Sciences

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Breakout Session: Sex/Gender and Racial/Ethnic Disparities in the Care of Osteoporosis and Fragility Fractures

Cited by 8 publications

References 26 publications

Racial and Ethnic Disparities in Bone Health and Outcomes in the United States

Racial and Ethnic Disparities in Bone Health and Outcomes in the United States

Diagnostic Accuracy of Deep Learning for the Prediction of Osteoporosis Using Plain X-rays: A Systematic Review and Meta-Analysis

Health Disparities

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