PURPOSE: Early supportive care may improve quality of life and end-of-life care among patients with cancer. We assessed racial disparities in early use of medications for common cancer symptoms (depression, anxiety, insomnia) and whether these potential disparities modify end-of-life care. METHODS: We used 2007 to 2012 SEER-Medicare data to evaluate use of supportive medications (opioid pain medications and nonopioid psychotropics, including antidepressants/anxiolytics and sleep aids) in the 90 days postdiagnosis among black and white women with stage IV breast cancer who died between 2007 and 2012. We used modified Poisson regression to assess the relationship between race and supportive treatment use and end-of-life care (hospice, intensive care unit, more than one emergency department visit or hospitalization 30 days before death, in-hospital death). RESULTS: The study included 752 white and 131 black women. We observed disparities in nonopioid psychotropic use between black and white women (adjusted risk ratio [aRR], 0.51; 95% CI, 0.35 to 0.74) but not in opioid pain medication use. There were also disparities in hospice use (aRR, 0.86; 95% CI, 0.74 to 0.99), intensive care unit admission or more than one emergency department visit or hospitalization 30 days before death (aRR, 1.28; 95% CI, 1.01 to 1.63), and risk of dying in the hospital (aRR, 1.59; 95% CI, 1.22 to 2.09). Supportive medication use did not attenuate end-of-life care disparities. CONCLUSION: We observed racial disparities in early supportive medication use among patients with stage IV breast cancer. Although they did not clearly attenuate end-of-life care disparities, medication use disparities may be of concern if they point to disparities in adequacy of symptom management given the potential implications for quality of life.
PURPOSE: Early supportive care may improve quality of life and end-of-life care among patients with cancer. We assessed racial disparities in early use of medications for common cancer symptoms (depression, anxiety, insomnia) and whether these potential disparities modify end-of-life care. METHODS: We used 2007 to 2012 SEER-Medicare data to evaluate use of supportive medications (opioid pain medications and nonopioid psychotropics, including antidepressants/anxiolytics and sleep aids) in the 90 days postdiagnosis among black and white women with stage IV breast cancer who died between 2007 and 2012. We used modified Poisson regression to assess the relationship between race and supportive treatment use and end-of-life care (hospice, intensive care unit, more than one emergency department visit or hospitalization 30 days before death, in-hospital death). RESULTS: The study included 752 white and 131 black women. We observed disparities in nonopioid psychotropic use between black and white women (adjusted risk ratio [aRR], 0.51; 95% CI, 0.35 to 0.74) but not in opioid pain medication use. There were also disparities in hospice use (aRR, 0.86; 95% CI, 0.74 to 0.99), intensive care unit admission or more than one emergency department visit or hospitalization 30 days before death (aRR, 1.28; 95% CI, 1.01 to 1.63), and risk of dying in the hospital (aRR, 1.59; 95% CI, 1.22 to 2.09). Supportive medication use did not attenuate end-of-life care disparities. CONCLUSION: We observed racial disparities in early supportive medication use among patients with stage IV breast cancer. Although they did not clearly attenuate end-of-life care disparities, medication use disparities may be of concern if they point to disparities in adequacy of symptom management given the potential implications for quality of life.
Authors: A V Diez-Roux; C I Kiefe; D R Jacobs; M Haan; S A Jackson; F J Nieto; C C Paton; R Schulz; A V Roux Journal: Ann Epidemiol Date: 2001-08 Impact factor: 3.797
Authors: Marieke H J van den Beuken-van Everdingen; Janneke M de Rijke; Alfons G Kessels; Harry C Schouten; Maarten van Kleef; Jacob Patijn Journal: J Pain Symptom Manage Date: 2009-06-28 Impact factor: 3.612
Authors: C S Cleeland; R Gonin; A K Hatfield; J H Edmonson; R H Blum; J A Stewart; K J Pandya Journal: N Engl J Med Date: 1994-03-03 Impact factor: 91.245
Authors: Marieke H J van den Beuken-van Everdingen; Janneke M de Rijke; Alfons G Kessels; Harry C Schouten; Maarten van Kleef; Jacob Patijn Journal: Pain Date: 2007-10-03 Impact factor: 6.961
Authors: Thomas J Smith; Sarah Temin; Erin R Alesi; Amy P Abernethy; Tracy A Balboni; Ethan M Basch; Betty R Ferrell; Matt Loscalzo; Diane E Meier; Judith A Paice; Jeffrey M Peppercorn; Mark Somerfield; Ellen Stovall; Jamie H Von Roenn Journal: J Clin Oncol Date: 2012-02-06 Impact factor: 44.544
Authors: Marie Bakitas; Tim A Ahles; Karen Skalla; Frances C Brokaw; Ira Byock; Brett Hanscom; Kathleen Doyle Lyons; Mark T Hegel Journal: Cancer Date: 2008-04-15 Impact factor: 6.860
Authors: Melissa K Accordino; Jason D Wright; Sowmya Vasan; Alfred I Neugut; Tal Gross; Grace C Hillyer; Dawn L Hershman Journal: Breast Cancer Res Treat Date: 2017-07-27 Impact factor: 4.872
Authors: Laura C Pinheiro; Devon K Check; Donald Rosenstein; Katherine E Reeder-Hayes; Stacie Dusetzina Journal: Support Care Cancer Date: 2018-08-10 Impact factor: 3.603
Authors: Cleveland G Shields; Jennifer J Griggs; Kevin Fiscella; Cezanne M Elias; Sharon L Christ; Joseph Colbert; Stephen G Henry; Beth G Hoh; Haslyn E R Hunte; Mary Marshall; Supriya Gupta Mohile; Sandy Plumb; Mohamedtaki A Tejani; Alison Venuti; Ronald M Epstein Journal: J Gen Intern Med Date: 2019-01-10 Impact factor: 5.128
Authors: Erica C Kaye; Samantha DeMarsh; Courtney A Gushue; Jonathan Jerkins; April Sykes; Zhaohua Lu; Jennifer M Snaman; Lindsay J Blazin; Liza-Marie Johnson; Deena R Levine; R Ray Morrison; Justin N Baker Journal: Oncologist Date: 2018-05-04
Authors: Nayan Lamba; Elie Mehanna; Rachel B Kearney; Paul J Catalano; Daphne A Haas-Kogan; Brian M Alexander; Daniel N Cagney; Kathleen A Lee; Ayal A Aizer Journal: Neuro Oncol Date: 2020-09-29 Impact factor: 12.300