TY - JOUR
T1 - Impact of employment and insurance status on distress in gynecologic oncology patients
AU - Kuroki, Lindsay M.
AU - Morris, David H.
AU - Greenwade, Molly
AU - Landon, Megan
AU - Hagemann, Andrea R.
AU - Thaker, Premal H.
AU - Massad, L. Stewart
AU - McCourt, Carolyn K.
AU - Fuh, Katherine C.
AU - Powell, Matthew A.
AU - Mutch, David G.
AU - Khabele, Dineo
AU - Vanderlan, Jessica R.
N1 - Funding Information:
The following stated conflicts of interest are all outside of the submitted work. Dr. Kuroki reports grants from Washington University Institute of Clinical and Translational Sciences , KL2TR002346 , GOG Foundation . Dr. Thaker reports personal fees from Stryker, AstraZeneca, Iovance, Novocure, Celsion, Aravive; and grants and personal fees from Glaxo Smith Kline and Merck . Dr. Fuh reports grants from Merck , and personal fees from Myriad, Genentech, Aravive, GSK, and Immunogen. Dr. Powell reports personal fees from Tesaro, Merck, Roche/ Genentech, Clovis Oncology, AstraZeneca, Johnson & Johnson, and Eisai. Dr. Khabele reports grants and other from NIH/NCI , grants from Deciphera Pharmaceuticals , and personal fees from AstraZeneca.
Funding Information:
The following stated conflicts of interest are all outside of the submitted work. Dr. Kuroki reports grants from Washington University Institute of Clinical and Translational Sciences, KL2TR002346, GOG Foundation. Dr. Thaker reports personal fees from Stryker, AstraZeneca, Iovance, Novocure, Celsion, Aravive; and grants and personal fees from Glaxo Smith Kline and Merck. Dr. Fuh reports grants from Merck, and personal fees from Myriad, Genentech, Aravive, GSK, and Immunogen. Dr. Powell reports personal fees from Tesaro, Merck, Roche/ Genentech, Clovis Oncology, AstraZeneca, Johnson & Johnson, and Eisai. Dr. Khabele reports grants and other from NIH/NCI, grants from Deciphera Pharmaceuticals, and personal fees from AstraZeneca.
Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
KW - Distress among gynecologic oncology patients
KW - Financial toxicity
KW - Underinsured
KW - Unemployment
UR - http://www.scopus.com/inward/record.url?scp=85100384194&partnerID=8YFLogxK
U2 - 10.1016/j.ygyno.2021.01.038
DO - 10.1016/j.ygyno.2021.01.038
M3 - Article
C2 - 33546868
AN - SCOPUS:85100384194
SN - 0090-8258
VL - 161
SP - 477
EP - 482
JO - Gynecologic oncology
JF - Gynecologic oncology
IS - 2
ER -