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Trends in Financial Access to Prescription Drugs Among Cancer Survivors

Trends in Financial Access to Prescription Drugs Among Cancer Survivors Abstract Little is known about the competing effects of increasing prescription drug costs and expansions in insurance coverage on prescription drug access and whether trends vary for adults with and without a cancer history. Using the 2010–2015 National Health Interview Survey, we examined trends in limited prescription drug access, operationalized as forgoing needed prescription drugs because of cost. The percentages of adults age 18 to 64 years with limited prescription drug access decreased over time: predicted margins from multivariable logistic regression models were 13.8% in 2010 vs 8.6% in 2015 for cancer survivors and 11.0% vs 6.8% for adults without a cancer history (adjusted odds ratio [aOR] for trend = 0.89, 95% confidence interval [CI] = 0.88 to 0.90). Access changed little for adults age 65 years and older. Among adults age 18 to 64 years, cancer survivors were more likely than those without a cancer history to report limited access to any prescription drug in all years (aOR from multivariable logistic regression model = 1.45, 95% CI = 1.31 to 1.61). However, trends did not differ by cancer history. Our findings suggest that expansions in health insurance coverage mitigated the effects of growing prescription drug costs to some extent for many individuals with and without a history of cancer. Growth in prescription drug spending in the United States has increased in recent years (1,2). Spending on biologics and specialty drugs often used to treat cancer is a major driver of increased prescription drug spending (2): many have annual price tags of $100 000 or more (3). Consequently, cancer survivors are particularly vulnerable to high prescription drug costs. They are more likely to experience financial hardship (4), including higher out-of-pocket spending (5–8), worry about medical bills (9), and bankruptcy (10,11) than individuals without a cancer history. Additionally, limited prescription drug access because of cost among cancer survivors can negatively impact quality of life (12,13), treatment adherence (14–19), health care resource utilization (20), and survival (21). Rising prescription drug costs are of increasing concern to patients, payers, and policy-makers (22,23). Access to prescription drugs may have improved with recent expansions in health insurance, including broadened Medicaid eligibility in some states, elimination of preexisting condition restrictions, establishment of private insurance marketplaces, premium tax credits, and closing of the Medicare Part D prescription drug coverage gap (24). Little is known about the competing effects of increasing prescription drug costs and expanded insurance coverage on financial access to prescription drugs and whether these trends differ for cancer survivors and adults without a cancer history. Using the six most recent years (2010–2015) of the National Health Interview Survey (NHIS), we examined trends in access among adults with and without a cancer history. The NHIS is a nationally representative household survey that serves as the primary source of information on the health of the US population. Limited access to prescription medication was measured by responses to the question “During the past 12 months, was there any time when you needed prescription medication but did not get it because you couldn't afford it?” This measure reflects behavioral aspects of financial hardship (8). Cancer survivors were identified from a question about ever receiving a cancer diagnosis. All analyses were stratified by age group (18–64 years and ≥65 years). Descriptive statistics were calculated for all measures. Trends in limited prescription drug access were evaluated using unadjusted and adjusted multivariable logistic regression models that controlled for the effects of age group (18–25y, 26–34y, 35–44y, 45–54y, 55–64y, 65–74y, 75–84y, 85+y), sex, race/ethnicity, educational attainment, marital status, family income as a percentage of the federal poverty line, number of chronic conditions, and geographic region. We report adjusted odds ratios (aOR) and predicted margins, which are interpreted as percentages of adults reporting limited access in a year, after adjusting for other characteristics (25). Interaction terms were used to assess differences in trends by cancer history. All analyses incorporated complex survey design and sample weights to provide nationally representative estimates. All tests of statistical significance used a two-sided alpha of .05. We did not adjust for multiple comparisons. Analytic files were created using SAS 9.4, and regressions used STATA 14. The sample was comprised of 153 372 adults age 18 to 64 years (6177 of whom had a history of cancer) and 42 108 adults age 65 years and older (7744 of whom had a history of cancer). Cancer survivors were more likely to be older, non-Hispanic white, and have more chronic conditions than individuals without a cancer history (Table 1). The majority of cancer survivors were longer-term survivors (two or more years after diagnosis). Among adults age 18 to 64 years, cancer survivors were more likely to report limited access to any prescription drugs than those without a cancer history, in all years (Figure 1; Supplementary Table 1, available online). In adjusted analyses, the percentages of adults with and without a history of cancer forgoing needed prescription drugs because of cost decreased between 2010 and 2015 (cancer survivors: 13.8% in 2010 vs 8.6% in 2015; adults without a cancer history: 11.0% vs 6.8%; aORtrend = 0.89, 95% CI =  0.88 to 0.90). Limitations in access declined for individuals with low and high health insurance deductibles (Supplementary Figure 1, available online). Limitations in access to prescription drugs changed little for adults age 65 years and older with (4.3% vs 4.8%) and without (4.6% vs 3.8%) a history of cancer (aORtrend = 0.96, 95% CI =  0.93 to 1.01). No statistically significant differences in trends by cancer history were observed for either age group (Pinteraction > .05). Among those age 18 to 64 years, the adjusted odds of limited access to any prescription drugs due to cost were statistically significantly higher among cancer survivors than individuals without a cancer history (aOR = 1.45, 95% CI = 1.31 to 1.61) during 2010 to 2015. Table 1. Sample characteristics, by age and cancer history* Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 *FPL = federal poverty limit. Open in new tab Table 1. Sample characteristics, by age and cancer history* Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 *FPL = federal poverty limit. Open in new tab Figure 1. Open in new tabDownload slide Unadjusted and adjusted percentages of adults reporting financial limitations in prescription drug access, by age and cancer history. Results are presented by age for (A) 18–64 years and (B) 65 years and older. Estimates are adjusted for the effects of age group, sex, race/ethnicity, educational attainment, marital status, family income as a percentage of the federal poverty line, number of chronic conditions, and geographic region in multivariable analyses. Figure 1. Open in new tabDownload slide Unadjusted and adjusted percentages of adults reporting financial limitations in prescription drug access, by age and cancer history. Results are presented by age for (A) 18–64 years and (B) 65 years and older. Estimates are adjusted for the effects of age group, sex, race/ethnicity, educational attainment, marital status, family income as a percentage of the federal poverty line, number of chronic conditions, and geographic region in multivariable analyses. In the five years after health insurance coverage options were expanded in the United States, a statistically significant decrease in the percentage of adults age 18 to 64 years with and without a history of cancer forgoing needed prescription drugs because of cost was observed. Trends were similar for individuals with and without a cancer history, but cancer survivors were more likely to report limited access in all years. Between 2003 and 2014, median monthly out-of-pocket spending for privately insured users of nonspecialty drugs has declined, even though patient out-of-pocket spending for specialty drugs has increased (26). Because a relatively small proportion of individuals use specialty drugs (27) and the majority of cancer survivors in the United States are longer-term survivors (28), these findings are consistent with overall improvements in patient access to prescription drugs, despite increasing prescription drug spending. Additional longitudinal research evaluating changes in insurance coverage and financial access to prescription drugs and medical financial hardship in newly diagnosed cancer patients is warranted. The nationally representative data presented here are the most recent available NHIS data for individuals with all types of health insurance, including the uninsured, but a few limitations of this study warrant mention. All data about cancer history, prescription drug access, and other characteristics were self-reported. Trends presented are based on cross-sectional rather than longitudinal data, and trends in access cannot be evaluated among individuals over time. Our measure of access did not address other elements of adherence to prescription drugs because of cost used elsewhere, including skipping doses, taking less medicine, or delaying filling prescriptions (29). These questions were not asked consistently by the NHIS during our study period. Last, the NHIS does not provide any information on access to or use of specialty drugs or receipt of cancer treatment in the past year. Gains in health insurance for the uninsured have been shown to be associated with more prescriptions filled and lower out-of-pocket spending per prescription (30). The trends we observed suggest that expansions in health insurance coverage mitigated the effects of growing prescription drug costs to some extent for many individuals with and without a history of cancer. Note The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the National Cancer Institute or the Department of Health and Human Services. References 1 Office of the Assistant Secretary for Planning and Evaluation. Observations on trends in prescription drug spending. Washington, DC: Office of the Assistant Secretary for Planning and Evaluation; 2016 . https://aspe.hhs.gov/pdf-report/observations-trends-prescription-drug-spending. Accessed December 7, 2016. 2 Cox C , Kamal R, Jankiewicz A, et al. Recent trends in prescription drug costs . JAMA. 2016 ; 315 ( 13 ): 1326–1326 . Google Scholar Crossref Search ADS WorldCat 3 Kantarjian HM , Fojo T, Mathisen M, et al. Cancer drugs in the United States: Justum Pretium—the just price . J Clin Oncol. 2013 ; 31 ( 28 ): 3600 – 3604 . Google Scholar Crossref Search ADS PubMed WorldCat 4 Yabroff KR , Dowling EC, Guy GP Jr, et al. Financial hardship associated with cancer in the United States: Findings from a population-based sample of adult cancer survivors . J Clin Oncol. 2016 ; 34 ( 3 ): 259 – 267 . Google Scholar Crossref Search ADS PubMed WorldCat 5 Davidoff AJ , Erten M, Shaffer T, et al. Out-of-pocket health care expenditure burden for Medicare beneficiaries with cancer . Cancer. 2013 ; 119 ( 6 ): 1257 – 1265 . Google Scholar Crossref Search ADS PubMed WorldCat 6 Guy GP Jr., Yabroff KR, Ekwueme DU, et al. Healthcare expenditure burden among non-elderly cancer survivors, 2008-2012 . Am J Prev Med. 2015 ; 49(6 suppl 5) : S489 – S497 . Google Scholar Crossref Search ADS WorldCat 7 Narang AK , Nicholas LH. Out-of-pocket spending and financial burden among Medicare beneficiaries with cancer . JAMA Oncol . 2016 ; 3 ( 6 ): 757 – 765 . Google Scholar Crossref Search ADS WorldCat 8 Altice CK , Banegas MP, Tucker-Seeley RD, et al. Financial hardships experienced by cancer survivors: A systematic review . J Natl Cancer Inst. 2017 ; 109 ( 2 ):djw205. Google Scholar OpenURL Placeholder Text WorldCat 9 Davidoff AJ , Hu X, Zheng Z et al. Early impact of the Affordable Care Act (ACA) on financial worry. Poster presented at the ASCO Quality Care Symposium; February 2016 ; Phoenix, AZ. 10 Banegas MP , Guy GP Jr, de Moor JS, et al. For working-age cancer survivors, medical debt and bankruptcy create financial hardships . Health Aff (Millwood) . 2016 ; 35 ( 1 ): 54 – 61 . Google Scholar Crossref Search ADS PubMed WorldCat 11 Ramsey S , Blough D, Kirchhoff A, et al. Washington State cancer patients found to be at greater risk for bankruptcy than people without a cancer diagnosis . Health Aff (Millwood) . 2013 ; 32 ( 6 ): 1143 – 1152 . Google Scholar Crossref Search ADS PubMed WorldCat 12 Zafar SY , McNeil RB, Thomas CM, et al. Population-based assessment of cancer survivors' financial burden and quality of life: A prospective cohort study . J Oncol Pract. 2015 ; 11 ( 2 ): 145 – 150 . Google Scholar Crossref Search ADS PubMed WorldCat 13 Kale HP , Carroll NV. Self-reported financial burden of cancer care and its effect on physical and mental health-related quality of life among US cancer survivors . Cancer. 2016 ; 122 ( 8 ): 283 – 289 . Google Scholar Crossref Search ADS PubMed WorldCat 14 Zafar SY , Peppercorn JM, Schrag D, et al. The financial toxicity of cancer treatment: A pilot study assessing out-of-pocket expenses and the insured cancer patient's experience . Oncologist. 2013 ; 18 ( 4 ): 381 – 390 . Google Scholar Crossref Search ADS PubMed WorldCat 15 Kent EE , Forsythe LP, Yabroff KR, et al. Are survivors who report cancer-related financial problems more likely to forgo or delay medical care? Cancer. 2013 ; 119 ( 20 ): 3710 – 3717 . Google Scholar Crossref Search ADS PubMed WorldCat 16 Winn AN , Keating NL, Dusetzina SB. Factors associated with tyrosine kinase inhibitor initiation and adherence among Medicare beneficiaries with chronic myeloid leukemia . J Clin Oncol. 2016 ; 34 ( 36 ): 4323 – 4328 . Google Scholar Crossref Search ADS PubMed WorldCat 17 Dusetzina SB , Winn AN, Abel GA, et al. Cost sharing and adherence to tyrosine kinase inhibitors for patients with chronic myeloid leukemia . J Clin Oncol. 2014 ; 32 ( 4 ): 306 – 311 . Google Scholar Crossref Search ADS PubMed WorldCat 18 Hershman DL , Tsui J, Meyer J, et al. The change from brand-name to generic aromatase inhibitors and hormone therapy adherence for early-stage breast cancer . J Natl Cancer Inst. 2014 ; 106 ( 11 ):dju319. Google Scholar OpenURL Placeholder Text WorldCat 19 Neugut AI , Subar M, Wilde ET, et al. Association between prescription co-payment amount and compliance with adjuvant hormonal therapy in women with early-stage breast cancer . J Clin Oncol. 2011 ; 29 ( 18 ): 2534 – 2542 . Google Scholar Crossref Search ADS PubMed WorldCat 20 Wu EQ , Johnson S, Beaulieu N, et al. Healthcare resource utilization and costs associated with non-adherence to imatinib treatment in chronic myeloid leukemia patients . Curr Med Res Opin. 2010 ; 26 ( 1 ): 61 – 69 . Google Scholar Crossref Search ADS PubMed WorldCat 21 Perrone F , Jommi C, Di Maio M, et al. The association of financial difficulties with clinical outcomes in cancer patients: Secondary analysis of 16 academic prospective clinical trials conducted in Italy . Ann Oncol. 2016 ; 27 ( 12 ): 2224 – 2229 . Google Scholar Crossref Search ADS PubMed WorldCat 22 Kesselheim AS , Avorn J, Sarpatwari A. The high cost of prescription drugs in the United States: Origins and prospects for reform . JAMA. 2016 ; 316 ( 8 ): 858 – 871 . Google Scholar Crossref Search ADS PubMed WorldCat 23 Kaiser health tracking poll. September 2016. http://kff.org/health-costs/report/kaiser-health-tracking-poll-september-2016/. Accessed September 29, 2016 . 24 Davidoff AJ , Hill SC, Bernard D, et al. The Affordable Care Act and expanded insurance eligibility among nonelderly adult cancer survivors . J Natl Cancer Inst. 2015 ; 107 ( 9 ):djv181. Google Scholar OpenURL Placeholder Text WorldCat 25 Graubard BI , Korn EL. Predictive margins with survey data . Biometrics. 1999 ; 55 ( 2 ): 652 – 659 . Google Scholar Crossref Search ADS PubMed WorldCat 26 Dusetzina SB. Share of specialty drugs in commercial plans nearly quadrupled, 2003–14 . Health Aff (Millwood) . 2016 ; 35 ( 7 ): 1241 – 1246 . Google Scholar Crossref Search ADS PubMed WorldCat 27 Express scripts: Drug trend report. http://lab.express-scripts.com/lab/drug-trend-report. Accessed December 23, 2016 . 28 de Moor JS , Mariotto AB, Parry C, et al. Cancer survivors in the United States: Prevalence across the survivorship trajectory and implications for care . Cancer Epidemiol Biomarkers Prev. 2013 ; 22 ( 4 ): 561 – 570 . Google Scholar Crossref Search ADS PubMed WorldCat 29 Briesacher BA , Gurwitz JH, Soumerai SB. Patients at-risk for cost-related medication nonadherence: A review of the literature . J Gen Intern Med. 2007 ; 22 ( 6 ): 864 – 871 . Google Scholar Crossref Search ADS PubMed WorldCat 30 Mulcahy AW , Eibner C, Finegold K. Gaining coverage through Medicaid or private insurance increased prescription use and lowered out-of-pocket spending . Health Aff (Millwood) . 2016 ; 35 ( 9 ): 1725 – 1733 . Google Scholar Crossref Search ADS PubMed WorldCat Published by Oxford University Press 2017. This work is written by US Government employees and is in the public domain in the US. Published by Oxford University Press 2017. This work is written by US Government employees and is in the public domain in the US. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "JNCI: Journal of the National Cancer Institute" Oxford University Press

Trends in Financial Access to Prescription Drugs Among Cancer Survivors

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References (26)

Publisher
Oxford University Press
Copyright
Copyright © 2022 Oxford University Press
ISSN
0027-8874
eISSN
1460-2105
DOI
10.1093/jnci/djx164
pmid
28954298
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See Article on Publisher Site

Abstract

Abstract Little is known about the competing effects of increasing prescription drug costs and expansions in insurance coverage on prescription drug access and whether trends vary for adults with and without a cancer history. Using the 2010–2015 National Health Interview Survey, we examined trends in limited prescription drug access, operationalized as forgoing needed prescription drugs because of cost. The percentages of adults age 18 to 64 years with limited prescription drug access decreased over time: predicted margins from multivariable logistic regression models were 13.8% in 2010 vs 8.6% in 2015 for cancer survivors and 11.0% vs 6.8% for adults without a cancer history (adjusted odds ratio [aOR] for trend = 0.89, 95% confidence interval [CI] = 0.88 to 0.90). Access changed little for adults age 65 years and older. Among adults age 18 to 64 years, cancer survivors were more likely than those without a cancer history to report limited access to any prescription drug in all years (aOR from multivariable logistic regression model = 1.45, 95% CI = 1.31 to 1.61). However, trends did not differ by cancer history. Our findings suggest that expansions in health insurance coverage mitigated the effects of growing prescription drug costs to some extent for many individuals with and without a history of cancer. Growth in prescription drug spending in the United States has increased in recent years (1,2). Spending on biologics and specialty drugs often used to treat cancer is a major driver of increased prescription drug spending (2): many have annual price tags of $100 000 or more (3). Consequently, cancer survivors are particularly vulnerable to high prescription drug costs. They are more likely to experience financial hardship (4), including higher out-of-pocket spending (5–8), worry about medical bills (9), and bankruptcy (10,11) than individuals without a cancer history. Additionally, limited prescription drug access because of cost among cancer survivors can negatively impact quality of life (12,13), treatment adherence (14–19), health care resource utilization (20), and survival (21). Rising prescription drug costs are of increasing concern to patients, payers, and policy-makers (22,23). Access to prescription drugs may have improved with recent expansions in health insurance, including broadened Medicaid eligibility in some states, elimination of preexisting condition restrictions, establishment of private insurance marketplaces, premium tax credits, and closing of the Medicare Part D prescription drug coverage gap (24). Little is known about the competing effects of increasing prescription drug costs and expanded insurance coverage on financial access to prescription drugs and whether these trends differ for cancer survivors and adults without a cancer history. Using the six most recent years (2010–2015) of the National Health Interview Survey (NHIS), we examined trends in access among adults with and without a cancer history. The NHIS is a nationally representative household survey that serves as the primary source of information on the health of the US population. Limited access to prescription medication was measured by responses to the question “During the past 12 months, was there any time when you needed prescription medication but did not get it because you couldn't afford it?” This measure reflects behavioral aspects of financial hardship (8). Cancer survivors were identified from a question about ever receiving a cancer diagnosis. All analyses were stratified by age group (18–64 years and ≥65 years). Descriptive statistics were calculated for all measures. Trends in limited prescription drug access were evaluated using unadjusted and adjusted multivariable logistic regression models that controlled for the effects of age group (18–25y, 26–34y, 35–44y, 45–54y, 55–64y, 65–74y, 75–84y, 85+y), sex, race/ethnicity, educational attainment, marital status, family income as a percentage of the federal poverty line, number of chronic conditions, and geographic region. We report adjusted odds ratios (aOR) and predicted margins, which are interpreted as percentages of adults reporting limited access in a year, after adjusting for other characteristics (25). Interaction terms were used to assess differences in trends by cancer history. All analyses incorporated complex survey design and sample weights to provide nationally representative estimates. All tests of statistical significance used a two-sided alpha of .05. We did not adjust for multiple comparisons. Analytic files were created using SAS 9.4, and regressions used STATA 14. The sample was comprised of 153 372 adults age 18 to 64 years (6177 of whom had a history of cancer) and 42 108 adults age 65 years and older (7744 of whom had a history of cancer). Cancer survivors were more likely to be older, non-Hispanic white, and have more chronic conditions than individuals without a cancer history (Table 1). The majority of cancer survivors were longer-term survivors (two or more years after diagnosis). Among adults age 18 to 64 years, cancer survivors were more likely to report limited access to any prescription drugs than those without a cancer history, in all years (Figure 1; Supplementary Table 1, available online). In adjusted analyses, the percentages of adults with and without a history of cancer forgoing needed prescription drugs because of cost decreased between 2010 and 2015 (cancer survivors: 13.8% in 2010 vs 8.6% in 2015; adults without a cancer history: 11.0% vs 6.8%; aORtrend = 0.89, 95% CI =  0.88 to 0.90). Limitations in access declined for individuals with low and high health insurance deductibles (Supplementary Figure 1, available online). Limitations in access to prescription drugs changed little for adults age 65 years and older with (4.3% vs 4.8%) and without (4.6% vs 3.8%) a history of cancer (aORtrend = 0.96, 95% CI =  0.93 to 1.01). No statistically significant differences in trends by cancer history were observed for either age group (Pinteraction > .05). Among those age 18 to 64 years, the adjusted odds of limited access to any prescription drugs due to cost were statistically significantly higher among cancer survivors than individuals without a cancer history (aOR = 1.45, 95% CI = 1.31 to 1.61) during 2010 to 2015. Table 1. Sample characteristics, by age and cancer history* Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 *FPL = federal poverty limit. Open in new tab Table 1. Sample characteristics, by age and cancer history* Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 Characteristics . 18–64 y . 65 y and older . History of cancer (n = 6177) . No history of cancer (n = 147 195) . History of cancer (n = 7744) . No history of cancer (n = 34 364) . Weighted % . Weighted % . Weighted % . Weighted % . Age group, y  18–25 3.0 18.4 – –  26–34 7.4 20.1 – –  35–44 14.0 21.0 – –  45–54 27.1 22.2 – –  55–64 48.5 18.3 – –  65–74 – – 48.9 59.5  75–84 – – 36.2 29.6  85+ – – 14.9 10.9 Sex  Male 34.4 49.8 48.0 42.5  Female 65.6 50.2 52.0 57.5 Race/ethnicity  Non-Hispanic white 78.6 62.7 84.9 75.9  Non-Hispanic black 8.5 12.6 7.3 9.4  Hispanic 8.1 17.0 4.5 8.8  Non-Hispanic other 3.8 7.7 3.3 5.9 Educational level  Less than high school 10.9 13.1 16.1 21.4  High school graduate or equivalent 26.7 25.1 31.1 30.4  Some college or more 62.4 61.8 52.8 48.2 % FPL  0%–149% FPL 27.3 30.1 23.8 28.2  200%–399% FPL 30.2 31.9 38.3 35.6  400%+ FPL 36.9 31.9 26.6 23.1  Missing 5.6 6.2 11.3 13.2 Marital status  Married 59.4 52.1 56.5 54.9  Other 40.6 47.9 43.5 45.1 Region  Northeast 17.4 17.4 18.8 19.7  Midwest 24.2 22.9 23.8 22.2  South 37.7 36.3 37.2 36.8  West 21.7 23.5 20.2 21.3 No. of chronic conditions  0 32.8 59.4 12.1 18.3  1 30.9 25.6 26.8 28.5  2 36.4 15.0 66.1 58.2 Health insurance  Private 66.0 65.4 – –  Public 22.7 15.0 – –  Uninsured 11.2 19.0 – –  Unknown 0.1 0.6 – –  Medicare and private – – 51.7 45.8  Medicare and public – – 13.4 12.9  Medicare only – – 31.5 35.1  Other – – 3.4 6.2 Time since cancer diagnosis, y  ≤2 15.9 – 13.7 –  >2 84.1 – 86.3 – Limited access to prescription drugs  No 84.8 91.3 96.3 96.1  Yes 15.2 8.7 3.7 3.9 Total 100.0 100.0 100.0 100.0 *FPL = federal poverty limit. Open in new tab Figure 1. Open in new tabDownload slide Unadjusted and adjusted percentages of adults reporting financial limitations in prescription drug access, by age and cancer history. Results are presented by age for (A) 18–64 years and (B) 65 years and older. Estimates are adjusted for the effects of age group, sex, race/ethnicity, educational attainment, marital status, family income as a percentage of the federal poverty line, number of chronic conditions, and geographic region in multivariable analyses. Figure 1. Open in new tabDownload slide Unadjusted and adjusted percentages of adults reporting financial limitations in prescription drug access, by age and cancer history. Results are presented by age for (A) 18–64 years and (B) 65 years and older. Estimates are adjusted for the effects of age group, sex, race/ethnicity, educational attainment, marital status, family income as a percentage of the federal poverty line, number of chronic conditions, and geographic region in multivariable analyses. In the five years after health insurance coverage options were expanded in the United States, a statistically significant decrease in the percentage of adults age 18 to 64 years with and without a history of cancer forgoing needed prescription drugs because of cost was observed. Trends were similar for individuals with and without a cancer history, but cancer survivors were more likely to report limited access in all years. Between 2003 and 2014, median monthly out-of-pocket spending for privately insured users of nonspecialty drugs has declined, even though patient out-of-pocket spending for specialty drugs has increased (26). Because a relatively small proportion of individuals use specialty drugs (27) and the majority of cancer survivors in the United States are longer-term survivors (28), these findings are consistent with overall improvements in patient access to prescription drugs, despite increasing prescription drug spending. Additional longitudinal research evaluating changes in insurance coverage and financial access to prescription drugs and medical financial hardship in newly diagnosed cancer patients is warranted. The nationally representative data presented here are the most recent available NHIS data for individuals with all types of health insurance, including the uninsured, but a few limitations of this study warrant mention. All data about cancer history, prescription drug access, and other characteristics were self-reported. Trends presented are based on cross-sectional rather than longitudinal data, and trends in access cannot be evaluated among individuals over time. Our measure of access did not address other elements of adherence to prescription drugs because of cost used elsewhere, including skipping doses, taking less medicine, or delaying filling prescriptions (29). These questions were not asked consistently by the NHIS during our study period. Last, the NHIS does not provide any information on access to or use of specialty drugs or receipt of cancer treatment in the past year. Gains in health insurance for the uninsured have been shown to be associated with more prescriptions filled and lower out-of-pocket spending per prescription (30). The trends we observed suggest that expansions in health insurance coverage mitigated the effects of growing prescription drug costs to some extent for many individuals with and without a history of cancer. Note The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the National Cancer Institute or the Department of Health and Human Services. References 1 Office of the Assistant Secretary for Planning and Evaluation. Observations on trends in prescription drug spending. Washington, DC: Office of the Assistant Secretary for Planning and Evaluation; 2016 . https://aspe.hhs.gov/pdf-report/observations-trends-prescription-drug-spending. Accessed December 7, 2016. 2 Cox C , Kamal R, Jankiewicz A, et al. Recent trends in prescription drug costs . JAMA. 2016 ; 315 ( 13 ): 1326–1326 . Google Scholar Crossref Search ADS WorldCat 3 Kantarjian HM , Fojo T, Mathisen M, et al. Cancer drugs in the United States: Justum Pretium—the just price . J Clin Oncol. 2013 ; 31 ( 28 ): 3600 – 3604 . Google Scholar Crossref Search ADS PubMed WorldCat 4 Yabroff KR , Dowling EC, Guy GP Jr, et al. Financial hardship associated with cancer in the United States: Findings from a population-based sample of adult cancer survivors . J Clin Oncol. 2016 ; 34 ( 3 ): 259 – 267 . Google Scholar Crossref Search ADS PubMed WorldCat 5 Davidoff AJ , Erten M, Shaffer T, et al. Out-of-pocket health care expenditure burden for Medicare beneficiaries with cancer . Cancer. 2013 ; 119 ( 6 ): 1257 – 1265 . Google Scholar Crossref Search ADS PubMed WorldCat 6 Guy GP Jr., Yabroff KR, Ekwueme DU, et al. Healthcare expenditure burden among non-elderly cancer survivors, 2008-2012 . Am J Prev Med. 2015 ; 49(6 suppl 5) : S489 – S497 . Google Scholar Crossref Search ADS WorldCat 7 Narang AK , Nicholas LH. Out-of-pocket spending and financial burden among Medicare beneficiaries with cancer . JAMA Oncol . 2016 ; 3 ( 6 ): 757 – 765 . Google Scholar Crossref Search ADS WorldCat 8 Altice CK , Banegas MP, Tucker-Seeley RD, et al. Financial hardships experienced by cancer survivors: A systematic review . J Natl Cancer Inst. 2017 ; 109 ( 2 ):djw205. Google Scholar OpenURL Placeholder Text WorldCat 9 Davidoff AJ , Hu X, Zheng Z et al. Early impact of the Affordable Care Act (ACA) on financial worry. Poster presented at the ASCO Quality Care Symposium; February 2016 ; Phoenix, AZ. 10 Banegas MP , Guy GP Jr, de Moor JS, et al. For working-age cancer survivors, medical debt and bankruptcy create financial hardships . Health Aff (Millwood) . 2016 ; 35 ( 1 ): 54 – 61 . Google Scholar Crossref Search ADS PubMed WorldCat 11 Ramsey S , Blough D, Kirchhoff A, et al. Washington State cancer patients found to be at greater risk for bankruptcy than people without a cancer diagnosis . Health Aff (Millwood) . 2013 ; 32 ( 6 ): 1143 – 1152 . Google Scholar Crossref Search ADS PubMed WorldCat 12 Zafar SY , McNeil RB, Thomas CM, et al. Population-based assessment of cancer survivors' financial burden and quality of life: A prospective cohort study . J Oncol Pract. 2015 ; 11 ( 2 ): 145 – 150 . Google Scholar Crossref Search ADS PubMed WorldCat 13 Kale HP , Carroll NV. Self-reported financial burden of cancer care and its effect on physical and mental health-related quality of life among US cancer survivors . Cancer. 2016 ; 122 ( 8 ): 283 – 289 . Google Scholar Crossref Search ADS PubMed WorldCat 14 Zafar SY , Peppercorn JM, Schrag D, et al. The financial toxicity of cancer treatment: A pilot study assessing out-of-pocket expenses and the insured cancer patient's experience . Oncologist. 2013 ; 18 ( 4 ): 381 – 390 . Google Scholar Crossref Search ADS PubMed WorldCat 15 Kent EE , Forsythe LP, Yabroff KR, et al. Are survivors who report cancer-related financial problems more likely to forgo or delay medical care? Cancer. 2013 ; 119 ( 20 ): 3710 – 3717 . Google Scholar Crossref Search ADS PubMed WorldCat 16 Winn AN , Keating NL, Dusetzina SB. Factors associated with tyrosine kinase inhibitor initiation and adherence among Medicare beneficiaries with chronic myeloid leukemia . J Clin Oncol. 2016 ; 34 ( 36 ): 4323 – 4328 . Google Scholar Crossref Search ADS PubMed WorldCat 17 Dusetzina SB , Winn AN, Abel GA, et al. Cost sharing and adherence to tyrosine kinase inhibitors for patients with chronic myeloid leukemia . J Clin Oncol. 2014 ; 32 ( 4 ): 306 – 311 . Google Scholar Crossref Search ADS PubMed WorldCat 18 Hershman DL , Tsui J, Meyer J, et al. The change from brand-name to generic aromatase inhibitors and hormone therapy adherence for early-stage breast cancer . J Natl Cancer Inst. 2014 ; 106 ( 11 ):dju319. Google Scholar OpenURL Placeholder Text WorldCat 19 Neugut AI , Subar M, Wilde ET, et al. Association between prescription co-payment amount and compliance with adjuvant hormonal therapy in women with early-stage breast cancer . J Clin Oncol. 2011 ; 29 ( 18 ): 2534 – 2542 . Google Scholar Crossref Search ADS PubMed WorldCat 20 Wu EQ , Johnson S, Beaulieu N, et al. Healthcare resource utilization and costs associated with non-adherence to imatinib treatment in chronic myeloid leukemia patients . Curr Med Res Opin. 2010 ; 26 ( 1 ): 61 – 69 . Google Scholar Crossref Search ADS PubMed WorldCat 21 Perrone F , Jommi C, Di Maio M, et al. The association of financial difficulties with clinical outcomes in cancer patients: Secondary analysis of 16 academic prospective clinical trials conducted in Italy . Ann Oncol. 2016 ; 27 ( 12 ): 2224 – 2229 . Google Scholar Crossref Search ADS PubMed WorldCat 22 Kesselheim AS , Avorn J, Sarpatwari A. The high cost of prescription drugs in the United States: Origins and prospects for reform . JAMA. 2016 ; 316 ( 8 ): 858 – 871 . Google Scholar Crossref Search ADS PubMed WorldCat 23 Kaiser health tracking poll. September 2016. http://kff.org/health-costs/report/kaiser-health-tracking-poll-september-2016/. Accessed September 29, 2016 . 24 Davidoff AJ , Hill SC, Bernard D, et al. The Affordable Care Act and expanded insurance eligibility among nonelderly adult cancer survivors . J Natl Cancer Inst. 2015 ; 107 ( 9 ):djv181. Google Scholar OpenURL Placeholder Text WorldCat 25 Graubard BI , Korn EL. Predictive margins with survey data . Biometrics. 1999 ; 55 ( 2 ): 652 – 659 . Google Scholar Crossref Search ADS PubMed WorldCat 26 Dusetzina SB. Share of specialty drugs in commercial plans nearly quadrupled, 2003–14 . Health Aff (Millwood) . 2016 ; 35 ( 7 ): 1241 – 1246 . Google Scholar Crossref Search ADS PubMed WorldCat 27 Express scripts: Drug trend report. http://lab.express-scripts.com/lab/drug-trend-report. Accessed December 23, 2016 . 28 de Moor JS , Mariotto AB, Parry C, et al. Cancer survivors in the United States: Prevalence across the survivorship trajectory and implications for care . Cancer Epidemiol Biomarkers Prev. 2013 ; 22 ( 4 ): 561 – 570 . Google Scholar Crossref Search ADS PubMed WorldCat 29 Briesacher BA , Gurwitz JH, Soumerai SB. Patients at-risk for cost-related medication nonadherence: A review of the literature . J Gen Intern Med. 2007 ; 22 ( 6 ): 864 – 871 . Google Scholar Crossref Search ADS PubMed WorldCat 30 Mulcahy AW , Eibner C, Finegold K. Gaining coverage through Medicaid or private insurance increased prescription use and lowered out-of-pocket spending . Health Aff (Millwood) . 2016 ; 35 ( 9 ): 1725 – 1733 . Google Scholar Crossref Search ADS PubMed WorldCat Published by Oxford University Press 2017. This work is written by US Government employees and is in the public domain in the US. Published by Oxford University Press 2017. This work is written by US Government employees and is in the public domain in the US.

Journal

"JNCI: Journal of the National Cancer Institute"Oxford University Press

Published: Feb 1, 2018

Keywords: adult; access to medications; insurance coverage; medical insurance coverage

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