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Gynecol Oncol ; 161(2): 477-482, 2021 05.
Article in English | MEDLINE | ID: mdl-33546868

ABSTRACT

OBJECTIVES: To study associations among employment, insurance status, and distress in gynecologic oncology patients; and to evaluate the impact of being unemployed or having no/Medicaid insurance on different distress problem areas. METHODS: In this single institution, cross-sectional analysis of gynecologic oncology patients, we screened for distress and problem areas using the National Comprehensive Cancer Network distress thermometer and problem list at outpatient appointments between 6/2017-9/2017. Primary outcome was self-reported high distress (score ≥ 5). The distress problem list included 5 categories-practical, family, emotional, physical, and other. Employment status included employed, unemployed, homemaker, and retired. Logistic regression was used to predict high distress from employment and insurance statuses, adjusting for relevant covariates. RESULTS: Of 885 women, 101 (11.4%) were unemployed, and 53 (6.0%) uninsured or had Medicaid coverage. One in five patients (n = 191, 21.6%) indicated high distress. Unemployed patients were more likely than employed to endorse high distress [adjusted odds ratio (aOR) = 3.5, 95% confidence interval (CI) 2.2-5.7, p < 0.001]. Compared to employed patients, a greater proportion of unemployed patients endorsed distress related to practical (p < 0.05), emotional (p < 0.001), physical (p < 0.01), and other (p < 0.05) problems. Uninsured/Medicaid patients were more likely to endorse high distress (aOR = 2.8, 95% CI 1.5-5.1, p < 0.001) and report family (p < 0.001), emotional (p < 0.001), and other (p < 0.01) problems than patients who had Medicare/commercial insurance. CONCLUSIONS: Gynecologic oncology patients who are unemployed or have no/Medicaid insurance face high distress that appears to arise from issues beyond practical problems, including financial and/or insurance insecurities.


Subject(s)
Employment/psychology , Employment/statistics & numerical data , Genital Neoplasms, Female/economics , Genital Neoplasms, Female/psychology , Insurance Coverage/statistics & numerical data , Cross-Sectional Studies , Female , Humans , Insurance, Health/statistics & numerical data , Logistic Models , Medicaid/statistics & numerical data , Middle Aged , Psychological Distress , Socioeconomic Factors , Unemployment/psychology , Unemployment/statistics & numerical data , United States
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