4.3 Article

Socioeconomic determinants impact quality of life at vestibular schwannoma diagnosis

期刊

JOURNAL OF CLINICAL NEUROSCIENCE
卷 119, 期 -, 页码 122-128

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ELSEVIER SCI LTD
DOI: 10.1016/j.jocn.2023.11.028

关键词

Quality of life; PANQOL; Vestibular schwannoma; Socioeconomic determinants

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The study found that socioeconomic factors including race, health insurance, and income have an impact on the quality of life at the time of vestibular schwannoma diagnosis. Black/African American and uninsured/self-pay patients had lower quality of life, while patients with higher income had higher quality of life.
Background: Socioeconomic variables including race, education, and income have been shown to affect vestibular schwannoma incidence, treatment, and outcomes. We sought to determine the impact of socioeconomic factors on quality of life at the time of vestibular schwannoma diagnosis. Methods: Retrospective cohort study conducted at a tertiary academic center. All patients evaluated for vestibular schwannoma from March 1, 2010 to December 31, 2021 who completed at least one Penn Acoustic Neuroma Quality of Life (PANQOL) questionnaire at presentation or prior to any intervention were included. PANQOL scores were compared across income quintiles, racial groups, and health insurance categories. Results: Two-hundred and ninety-six patients who had non-missing information on variables of interest were included. Compared to White/Caucasian patients (84.5 %), Black/African American patients (4.7 %) had significantly lower PANQOL total scores (b = -12.8[-21.7, -4.0], p = 0.005). Compared to patients with Commercial insurance (53 %), patients who were Uninsured/ Self-pay (1.7 %) had significantly lower PANQOL total scores (b = -16.7[-31.4, -1.9], p = 0.027). Patients in higher income quintiles had significantly higher PANQOL total scores (b = 11.7[3.9, 19.5], p = 0.004 comparing highest income quintile to lowest). After controlling for potential confounders, income quintile (b = 9.6[1.3, 17.9], p = 0.023 comparing highest quintile to lowest) and insurance (b = -17.0[-31.9, -21], p = 0.025 comparing Uninsured/Self-pay to Commercial insurance) remained predictors of total PANQOL score. Conclusions: Socioeconomic factors including race, health insurance, and income appear to contribute to quality of life at the time of vestibular schwannoma diagnosis. These variables are interrelated and the effects of race may be mediated in part by differences in income and health insurance coverage.

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