Amol K Narang1, Lauren Hersch Nicholas2. 1. Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland. 2. Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland3Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland4Sidney Kimmel Comprehensive Cancer Center, Cancer Prevention and Control Program, Johns Hopkins School of Medicine, Baltimore, Maryland.
Abstract
IMPORTANCE: Medicare beneficiaries with cancer are at risk for financial hardship given increasingly expensive cancer care and significant cost sharing by beneficiaries. OBJECTIVES: To measure out-of-pocket (OOP) costs incurred by Medicare beneficiaries with cancer and identify which factors and services contribute to high OOP costs. DESIGN, SETTING, AND PARTICIPANTS: We prospectively collected survey data from 18 166 community-dwelling Medicare beneficiaries, including 1409 individuals who were diagnosed with cancer during the study period, who participated in the January 1, 2002, to December 31, 2012, waves of the Health and Retirement Study, a nationally representative panel study of US residents older than 50 years. Data analysis was performed from July 1, 2014, to June 30, 2015. MAIN OUTCOMES AND MEASURES: Out-of-pocket medical spending and financial burden (OOP expenditures divided by total household income). RESULTS: Among the 1409 participants (median age, 73 years [interquartile range, 69-79 years]; 46.4% female and 53.6% male) diagnosed with cancer during the study period, the type of supplementary insurance was significantly associated with mean annual OOP costs incurred after a cancer diagnosis ($2116 among those insured by Medicaid, $2367 among those insured by the Veterans Health Administration, $5976 among those insured by a Medicare health maintenance organization, $5492 among those with employer-sponsored insurance, $5670 among those with Medigap insurance coverage, and $8115 among those insured by traditional fee-for-service Medicare but without supplemental insurance coverage). A new diagnosis of cancer or common chronic noncancer condition was associated with increased odds of incurring costs in the highest decile of OOP expenditures (cancer: adjusted odds ratio, 1.86; 95% CI, 1.55-2.23; P < .001; chronic noncancer condition: adjusted odds ratio, 1.82; 95% CI, 1.69-1.97; P < .001). Beneficiaries with a new cancer diagnosis and Medicare alone incurred OOP expenditures that were a mean of 23.7% of their household income; 10% of these beneficiaries incurred OOP expenditures that were 63.1% of their household income. Among the 10% of beneficiaries with cancer who incurred the highest OOP costs, hospitalization contributed to 41.6% of total OOP costs. CONCLUSIONS AND RELEVANCE: Medicare beneficiaries without supplemental insurance incur significant OOP costs following a diagnosis of cancer. Costs associated with hospitalization may be a primary contributor to these high OOP costs. Medicare reform proposals that restructure the benefit design for hospital-based services and incorporate an OOP maximum may help alleviate financial burden, as can interventions that reduce hospitalization in this population.
IMPORTANCE: Medicare beneficiaries with cancer are at risk for financial hardship given increasingly expensive cancer care and significant cost sharing by beneficiaries. OBJECTIVES: To measure out-of-pocket (OOP) costs incurred by Medicare beneficiaries with cancer and identify which factors and services contribute to high OOP costs. DESIGN, SETTING, AND PARTICIPANTS: We prospectively collected survey data from 18 166 community-dwelling Medicare beneficiaries, including 1409 individuals who were diagnosed with cancer during the study period, who participated in the January 1, 2002, to December 31, 2012, waves of the Health and Retirement Study, a nationally representative panel study of US residents older than 50 years. Data analysis was performed from July 1, 2014, to June 30, 2015. MAIN OUTCOMES AND MEASURES: Out-of-pocket medical spending and financial burden (OOP expenditures divided by total household income). RESULTS: Among the 1409 participants (median age, 73 years [interquartile range, 69-79 years]; 46.4% female and 53.6% male) diagnosed with cancer during the study period, the type of supplementary insurance was significantly associated with mean annual OOP costs incurred after a cancer diagnosis ($2116 among those insured by Medicaid, $2367 among those insured by the Veterans Health Administration, $5976 among those insured by a Medicare health maintenance organization, $5492 among those with employer-sponsored insurance, $5670 among those with Medigap insurance coverage, and $8115 among those insured by traditional fee-for-service Medicare but without supplemental insurance coverage). A new diagnosis of cancer or common chronic noncancer condition was associated with increased odds of incurring costs in the highest decile of OOP expenditures (cancer: adjusted odds ratio, 1.86; 95% CI, 1.55-2.23; P < .001; chronic noncancer condition: adjusted odds ratio, 1.82; 95% CI, 1.69-1.97; P < .001). Beneficiaries with a new cancer diagnosis and Medicare alone incurred OOP expenditures that were a mean of 23.7% of their household income; 10% of these beneficiaries incurred OOP expenditures that were 63.1% of their household income. Among the 10% of beneficiaries with cancer who incurred the highest OOP costs, hospitalization contributed to 41.6% of total OOP costs. CONCLUSIONS AND RELEVANCE: Medicare beneficiaries without supplemental insurance incur significant OOP costs following a diagnosis of cancer. Costs associated with hospitalization may be a primary contributor to these high OOP costs. Medicare reform proposals that restructure the benefit design for hospital-based services and incorporate an OOP maximum may help alleviate financial burden, as can interventions that reduce hospitalization in this population.
Authors: Kenneth M Langa; A Mark Fendrick; Michael E Chernew; Mohammed U Kabeto; Kerry L Paisley; James A Hayman Journal: Value Health Date: 2004 Mar-Apr Impact factor: 5.725
Authors: Darshak Sanghavi; Kate Samuels; Meaghan George; Kavita Patel; Sarah Bleiberg; Frank McStay; Andrea Thoumi; Mark McClellan Journal: Healthc (Amst) Date: 2014-08-15
Authors: S Yousuf Zafar; Jeffrey M Peppercorn; Deborah Schrag; Donald H Taylor; Amy M Goetzinger; Xiaoyin Zhong; Amy P Abernethy Journal: Oncologist Date: 2013-02-26
Authors: Gabriel A Brooks; Ling Li; Hajime Uno; Michael J Hassett; Bruce E Landon; Deborah Schrag Journal: Health Aff (Millwood) Date: 2014-10 Impact factor: 6.301
Authors: Theresa A Hastert; Jaclyn M Kyko; Amanda R Reed; Felicity W K Harper; Jennifer L Beebe-Dimmer; Tara E Baird; Ann G Schwartz Journal: Cancer Epidemiol Biomarkers Prev Date: 2019-05-06 Impact factor: 4.254
Authors: Jade C Newton; Claire E Johnson; Harry Hohnen; Max Bulsara; Angela Ives; Sandy McKiernan; Violet Platt; Ruth McConigley; Neli S Slavova-Azmanova; Christobel Saunders Journal: Support Care Cancer Date: 2018-04-27 Impact factor: 3.603
Authors: Andrea N Burnett-Hartman; Natalia Udaltsova; Lawrence H Kushi; Christine Neslund-Dudas; Alanna Kulchak Rahm; Pamala A Pawloski; Douglas A Corley; Sarah Knerr; Heather Spencer Feigelson; Jessica Ezzell Hunter; David C Tabano; Mara M Epstein; Stacey A Honda; Monica Ter-Minassian; Julie A Lynch; Christine Y Lu Journal: JCO Clin Cancer Inform Date: 2019-09
Authors: Arthur S Hong; Thomas Froehlich; Stephanie Clayton Hobbs; Simon J Craddock Lee; Ethan A Halm Journal: J Oncol Pract Date: 2019-04-25 Impact factor: 3.840
Authors: Scott K Sherman; Joel J Lange; Fadi S Dahdaleh; Rahul Rajeev; T Clark Gamblin; Blase N Polite; Kiran K Turaga Journal: JAMA Oncol Date: 2019-02-01 Impact factor: 31.777