2015
DOI: 10.1227/neu.0000000000000594
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Insurance Status Influences the Rates of Reportable Quality Metrics in Brain Tumor Patients

Abstract: Variability exists in the incidence of PSIs and HACs in patients with brain tumors based on insurance status. Controlling for both patient and hospital factors can explain these differences. The cause of these disparities should be studied prospectively to begin the process of improving quality metrics in vulnerable patient populations.

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Cited by 22 publications
(27 citation statements)
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“…The authors estimated the national incidence of a brain tumor patient experiencing one or more PSI or HAC as 16.3% and 2.8%, respectively. [10] Similarly, Fargen et al identified 54,589 admissions for unruptured cerebral aneurysm and reported that the national incidence of one or more PSI among this patient population was 14.6% (95% CI 13.9%–15.4%) if the patient underwent surgical clipping and 10.5% (95% CI 9.9%–11.1%) if the patient underwent endovascular coiling. [39] Differences in acuity of care for patients admitted with brain tumors or cerebral aneurysms compared to patients undergoing cervical fusion likely explain the differences in the incidence of adverse quality outcomes among these populations.…”
Section: Discussionmentioning
confidence: 99%
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“…The authors estimated the national incidence of a brain tumor patient experiencing one or more PSI or HAC as 16.3% and 2.8%, respectively. [10] Similarly, Fargen et al identified 54,589 admissions for unruptured cerebral aneurysm and reported that the national incidence of one or more PSI among this patient population was 14.6% (95% CI 13.9%–15.4%) if the patient underwent surgical clipping and 10.5% (95% CI 9.9%–11.1%) if the patient underwent endovascular coiling. [39] Differences in acuity of care for patients admitted with brain tumors or cerebral aneurysms compared to patients undergoing cervical fusion likely explain the differences in the incidence of adverse quality outcomes among these populations.…”
Section: Discussionmentioning
confidence: 99%
“…[10] Each covariate was included in our models because we felt that that the association between insurance status and PSI and HAC incidence may be confounded by patient-and hospital-level characteristics. This list of covariates is an exhaustive list of patient-and hospital-level characteristics included in the NIS.…”
Section: Methodsmentioning
confidence: 99%
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“…More favorable outcomes have been reported in patients with active health insurance status 3 and fewer comorbid conditions. 4 Hospital-related positive predictors of improved outcomes include a hospital infrastructure geared towards high-volume neurosurgical procedures 5 and high socioeconomic status of the patient population served by the hospital. 6 In addition, racial and ethnic disparities in access to high-volume neuro-oncologic care and final health outcomes have been reported to disproportionately affect the African American and Hispanic patient population in the United States.…”
Section: Introductionmentioning
confidence: 99%