Racial Disparities in Clinical and Economic Outcomes From Thyroidectomy

Sosa, Julie Ann; Mehta, Pritesh; Wang, Tracy; Yeo, Heather; Roman, Sanziana A.

doi:10.1097/sla.0b013e31812eecc4

Cited by 163 publications

(81 citation statements)

References 23 publications

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“…Previous studies in patients of all ages have also found African Americans, but not Hispanics or APIs, to have worse survival than non-Hispanic whites (9,19). Prior studies in thyroid cancer patients of all ages suggest that these racial/ ethnic disparities in survival may result from minority patients receiving inadequate surgical care (27) and being less likely to be operated on by a high-volume, experienced surgeon (28), factors that can contribute to a higher risk of complications and poorer outcomes.…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic Disparities in Differentiated Thyroid Cancer Survival Among Adolescents and Young Adults in California

Keegan

Grogan

Parsons

et al. 2015

Thyroid

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Background: Few studies have focused on prognostic factors among adolescents and young adults (AYAs) 15 to 39 years of age when diagnosed with differentiated thyroid cancer (DTC). Our study expands upon prior work by including an evaluation of survival among AYA men and by neighborhood socioeconomic status, health insurance, and clinical factors to identify subgroups of young DTC patients at higher risk of mortality. Conclusions: Despite the generally good prognosis among AYAs with DTC, we identified subgroups of AYA patients at risk for poor outcomes. Further study of the factors underlying these associations, including possible barriers to receiving high-quality treatment and follow-up care, as well as lifestyle factors, are critical to reducing these disparities.

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Section: Discussionmentioning

confidence: 99%

Sociodemographic Disparities in Differentiated Thyroid Cancer Survival Among Adolescents and Young Adults in California

Keegan

Grogan

Parsons

et al. 2015

Thyroid

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“…24,25 First, the HCUP-NIS database is based on billing data from ICD-9-CM codes, some of which is likely miscoded; however, the level of miscoding is felt to be acceptably low and unlikely to affect the analysis. 26 Our primary response variable is discrete and difficult to miscode. Second, the HCUP-NIS does not include data regarding the severity and mechanism of injury, both representing known risk factors for post-hospital supportive care after proximal humerus fracture.…”

Section: Discussionmentioning

confidence: 99%

Racial and insurance disparities in the utilization of supportive care after inpatient admission for proximal humerus fracture

Menendez

Ring

2014

Shoulder & Elbow

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Background: Post-discharge supportive services such as home health assistance and rehabilitation or skilled nursing facilities are often utilized after inpatient care for fracture of the proximal humerus. It is unclear whether sociodemographic disparities exist in the utilization of post-hospital supportive care. The present study aimed to evaluate the individual and combined effects of race and insurance status on the utilization of supportive services after hospital admission for fracture of the proximal humerus. Methods: Among the more than 40,000 patients with a proximal humerus fracture identified in the Nationwide Inpatient Sample (2008 to 2011), 85% were white, 7.7% were Hispanic and 7.0% were black. More black patients (19%) and Hispanic patients (15%) were uninsured compared to white patients (8.7%). Multivariable logistic regression was performed to determine the effect of race/ethnicity and insurance status on the utilization of post-hospital supportive care. Results: Sixty-nine percent of patients were discharged home, 13% went to home health care and 15% went to rehabilitation or skilled nursing facilities. Compared to white patients, Hispanic patients [odds ratio (OR) ¼ 0.71; 95% confidence interval (CI) ¼ 0.64 to 0.79] and black patients (OR ¼ 0.79; 95% CI ¼ 0.71 to 0.88) exhibited lower odds for the utilization of specialized post-hospital supportive services. Uninsured patients were significantly less likely to use post-discharge supportive services (OR ¼ 0.38; 95% CI ¼ 0.33 to 0.42) compared to privately insured patients. Even when insured at levels comparable to whites, Hispanic and black patients tended to experience decreased rates of discharge to post-acute supportive care. Conclusions: The utilization of post-hospital supportive services varies by race, ethnicity and insurance status after an inpatient admission for proximal humerus fracture.

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“…Although most of these couples are Caucasian, recent data support an increase in IVF use by African Americans (2). Differences in clinical outcomes between African Americans and Caucasians have been assessed for a variety other medical technologies; however, there remain few publications addressing the potential relationship between a woman's ethnicity and IVF outcomes (3)(4)(5).…”

mentioning

confidence: 96%