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Journal of Women's Health logoLink to Journal of Women's Health
. 2019 Nov 12;28(11):1529–1537. doi: 10.1089/jwh.2018.7403

Breast Screening Utilization and Cost Sharing Among Employed Insured Women Following the Affordable Care Act: Impact of Race and Income

Soudabeh Fazeli Dehkordy 1, A Mark Fendrick 2,,3,,4,,5, Sarah Bell 2,,6, Neil Kamdar 2,,3,,6, Emily Kobernik 2,,6, Vanessa K Dalton 2,,3,,6, Ruth C Carlos 2,,3,,7,
PMCID: PMC6862944  PMID: 30985249

Abstract

Introduction: We assessed changes in screening mammography cost sharing and utilization before and after the Affordable Care Act (ACA) and the revised U.S. Preventive Services Task Force (USPSTF) recommendations by race and income.

Methods: We used Optum™© Clinformatics™® Data Mart deidentified patient-level analytic files between 2004 and 2014. We first visually inspected trends for screening mammography utilization and cost-sharing elimination over time by race and income. We then specifically calculated the slopes and compared trends before and after 2009 and 2010 to assess the impact of ACA implementation and USPSTF recommendation revisions on screening mammography cost-sharing elimination and utilization. All analyses were conducted in 2018.

Results: A total of 1,763,959 commercially insured women, ages 40–74, were included. Comparing trends for cost-sharing elimination before and after the 2010 ACA implementation, a statistically significant but small upward trend was found among all races and income levels with no racial or income disparities evident. However, screening utilization plateaued or showed a significant decline after the 2009 USPSTF recommendation revision in all income and racial groups except for African Americans in whom screening rates continued to increase after 2009.

Conclusions: Impact of ACA cost-sharing elimination did not differ among various racial and income groups. Among our population of employer-based insured women, the racial gap in screening mammography use appeared to have closed and potentially reversed among African American women. Continued monitoring of screening utilization as health care policies and recommendations evolve is required, as these changes may affect race- and income-based disparities.

Keywords: breast cancer screening, affordable care act, cost sharing, screening utilization

Introduction

Breast cancer is the most commonly diagnosed cancer and the second leading cause of cancer death among U.S. women.1 Screening mammography improves early detection of breast cancer leading to better clinical outcomes and reduced morbidity and mortality.2 Screening mammography utilization, however, varies by sociodemographic characteristics, insurance status, and race/ethnicity,3 and disparities in breast cancer screening persist among vulnerable populations. For example, Hispanic women continue to have lower rates of timely screening mammography than both white and African American women.4 In addition, persistent differences in screening mammography utilization are seen based on poverty level and health insurance status.3,5,6 Type of health insurance is also associated with receipt of preventive health services with screening mammography rates being higher among women with public insurance other than Medicare (such as TRICARE, Indian Health Service, or Tribal Health Service coverage) than those with private insurance or Medicare.5

One barrier to screening mammography utilization, which potentially contributes to these disparities, is the out-of-pocket costs for screening.7 Trivedi et al.8 found that an increase in cost sharing for mammography of $10 or more among Medicare beneficiaries was associated with ∼10% lower rates of biennial screening mammography. In a national sample of predominantly rural women, ages 40–64, the elimination of cost sharing after introduction of the National Rural Electric Cooperative Association plan correlated with increased screening mammography utilization.9 As of October 2010, the Affordable Care Act (ACA) mandated elimination of cost sharing for U.S. Preventive Services Task Force (USPSTF) level A or B preventive services, including screening mammography,10 with the goal to improve breast cancer screening utilization and ameliorate disparities in screening. Despite the ACA's elimination of cost sharing, overall screening mammography utilization declined after 200911 suggesting a greater effect of the USPSTF recommendation revision, with similar trends in utilization over time among 40–49- and 50–65-year-old women. In brief, before 2009, the USPSTF recommended screening mammography, with or without clinical breast examination, every 1–2 years for women ages 40 and older.12 In November, 2009, the USPSTF changed its recommendation to biennial screening for women ages 50–74.13 It further withdrew its previous recommendation for routine screening before age 50, noting that the decision to initiate screening should be an individual one that takes into account specific benefits and harms.

It is unclear whether the impact of the ACA cost-sharing elimination and USPSTF recommendation revisions on screening behaviors varies among women of different races or income levels. The primary objective of this study was to identify disparities in screening mammography utilization before and after cost-sharing elimination under the ACA. Disparities by race/ethnicity and poverty status were assessed to identify unique populations that may be more sensitive to cost-sharing elimination.

Methods

This study was deemed exempt by the University of Michigan Medical School Institutional Review Board.

Data and sample

We used deidentified patient-level analytic files between January 2000 and December 2014 from the Optum™© Clinformatics™® Data Mart (OptumInsight, Eden Prairie, Minnesota, U.S.). The Optum Clinformatics Data Mart includes member enrollment data such as demographic variables and individual-level insurance claims. The advantages of this data source include its large size (75 million unique members as of the time of the study), its inclusion of race, income, and household size, and the ability to follow individuals longitudinally as individuals are reported by employers not health plans. It also contains complete patient payment and charge information, including patient copayment, deductible, and coinsurance amounts, and standardized costs.

Our sample included women ages 40–74 enrolled in employer-based health plans between 2004 and 2014 (1) without a history of breast cancer or prior mastectomy, (2) with at least 12 months of continuous enrollment in a given plan for the plan year, and (3) enrollment in one plan for a given calendar year.

Measures and outcomes

The primary outcomes were screening mammography utilization and cost-sharing elimination over time stratified by the independent variables of race/ethnicity and poverty status. Screening mammography utilization was calculated as the proportion of all women with at least one claim for that service among all women enrolled for each year. For women with more than one screening mammogram claim in a calendar year, only the first service claim was included in the analyses. Patient cost sharing (total out-of-pocket costs) at each calendar year was calculated for each patient who underwent screening mammography as the sum of patient copayments, coinsurance, and deductible payments. Cost-sharing elimination of screening mammography was defined as zero patient cost sharing for the service. The proportion of women without cost sharing for screening mammography each year was calculated as a proportion of those with first dollar coverage divided by all screening mammography users. We characterized poverty status as a dichotomous variable: “income ≤400% of federal poverty level” and “income >400% of federal poverty level” based on 2014 Census Bureau poverty guidelines by household size.14

Analysis

Demographic characteristics, screening mammography utilization, and cost-sharing elimination were summarized by descriptive statistics. Trends for screening mammography utilization and cost-sharing elimination over time were first visually inspected. For cost-sharing elimination, we then specifically calculated the slopes and compared trends before and after 2010 to assess the impact of ACA implementation on cost-sharing elimination. For screening mammography utilization, we specifically calculated the slopes and compared trends before and after 2009 to examine the impact of USPSTF recommendations on screening utilization, as visual inspection of patterns for screening mammography utilization showed change in 2009. All analyses were performed and presented for each year of service stratified by race/ethnicity and poverty status.

All analyses were conducted in 2018 using Stata (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP) and SAS 9.4 (SAS Institute, Cary, NC).

We conducted a subanalysis of annual screening utilization and cost-sharing elimination by race and income among women 50 and older, the population for whom the 2009 USPSTF recommendations specifically recommend screening.

Results

Sample characteristics

We identified an average of 1,763,959 commercially insured women in a given plan per year meeting our inclusion criteria. Characteristics of members and their health plans have previously been described.15 Screening mammography utilization and cost-sharing elimination for each year of service and by race/ethnicity and poverty status are summarized in Tables 1 and 2, respectively.

Table 1.

Patterns of Screening Utilization and Cost Sharing by Race/Ethnicity Among Women Ages 40–74

Total eligible women 2004   2005   2006   2007   2008   2009   2010   2011   2012   2013   2014  
1,541,293   1,682,880   1,717,175   1,812,643   1,877,042   1,899,439   1,822,460   1,859,587   1,834,060   1,806,802   1,550,172  
Screening utilization N % N % N % N % N % N % N % N % N % N % N %
Race/Ethnicity
 Screening utilization among Asian race 11,936 32.1 14,574 35.3 16,654 37.5 19,061 38.9 21,486 39.4 23,222 40.5 22,773 39.2 23,370 38.8 23,477 37.1 24,534 36.9 21,711 35.5
 Screening utilization among African American race 38,806 32.5 46,141 34.0 53,928 36.1 69,789 37.8 76,517 37.4 83,930 38.5 77,838 38.3 78,371 38.6 75,001 38.6 74,136 39.1 51,656 35.9
 Screening utilization among Hispanic ethnicity 31,298 30.5 38,421 32.8 45,118 35.0 49,480 35.8 53,524 36.6 56,430 38.0 50,705 36.3 55,073 37.3 52,956 36.2 54,533 36.6 52,952 35.7
 Screening utilization among Unknown race 28,210 36.3 30,399 38.7 30,651 40.5 30,365 41.9 30,324 42.1 30,778 43.3 28,873 41.9 29,481 41.7 28,871 40.8 29,522 41.7 26,046 40.4
 Screening utilization among Caucasian race 423,085 37.5 493,729 39.7 530,995 41.5 570,569 42.7 588,346 43.0 603,527 43.9 565,162 42.7 569,604 42.3 552,740 41.6 549,520 42.4 461,410 41.2
Zero cost share N % N % N % N % N % N % N % N % N % N % N %
Race/Ethnicity
 Proportion of Asian race with zero cost share 9,834 82.4 12,309 84.5 14,409 86.5 16,820 88.3 18,372 85.5 21,000 90.4 20,943 92.0 22,712 97.2 22,908 97.6 24,038 98.0 21,358 98.4
 Proportion of African American race with zero cost share 31,557 81.3 38,035 82.4 47,619 88.3 63,307 90.7 68,784 89.9 77,933 92.9 73,912 95.0 76,783 98.0 73,464 98.8 72,940 98.4 50,728 98.2
 Proportion of Hispanic ethnicity with zero cost share 26,706 85.3 33,487 87.2 40,204 89.1 44,491 89.9 47,975 89.6 52,131 92.4 46,971 92.6 53,798 97.7 51,632 97.5 53,199 97.6 52,075 98.3
 Proportion of unknown race with zero cost share 23,183 82.2 25,440 83.7 26,933 87.9 27,046 89.1 26,812 88.4 28,167 91.5 26,683 92.4 28,432 96.4 27,984 96.9 28,741 97.4 25,574 98.2
 Proportion of Caucasian race with zero cost share 344,876 81.5 410,125 83.1 466,196 87.8 508,992 89.2 522,570 88.8 555,332 92.0 525,401 93.0 550,934 96.7 536,346 97.0 536,164 97.6 453,212 98.2

Table 2.

Patterns of Screening Utilization and Cost Sharing by Poverty Status Among Women Ages 40–74

Characteristic 2004   2005   2006   2007   2008   2009   2010   2011   2012   2013   2014  
Total eligible women 1,541,293   1,682,880   1,717,175   1,812,643   1,877,042   1,899,439   1,822,460   1,859,587   1,834,060   1,806,802   1,550,172  
Screening utilization N % N % N % N % N % N % N % N % N % N % N %
Poverty status
 Screening utilization among ≤400% FPL 56,374 33.9 77,401 35.7 97,288 37.0 132,845 37.8 164,661 37.0 183,251 37.8 168,307 36.8 168,388 36.0 162,801 35.6 162,099 36.3 131,170 34.8
 Screening utilization among >400% FPL 194,839 39.7 252,683 41.9 306,938 43.6 395,018 44.7 490,927 44.4 548,867 45.4 517,617 44.2 529,640 44.1 515,719 43.3 513,902 44.1 431,200 42.9
Zero cost share N % N % N % N % N % N % N % N % N % N % N %
Poverty status
 Proportion ≤400% FPL with zero cost share 45,033 79.9 63,260 81.7 83,418 85.7 117,222 88.2 146,757 89.1 168,524 92.0 156,968 93.3 164,015 97.4 158,640 97.4 158,485 97.8 128,943 98.3
 Proportion >400% FPL with zero cost share 159,302 81.8 211,458 83.7 269,267 87.7 351,900 89.1 434,371 88.5 505,466 92.1 481,725 93.1 512,453 96.8 500,742 97.1 501,789 97.6 423,582 98.2

Cost-sharing elimination over time

Overall, an upward trend was seen in the proportion of women with zero cost sharing over time among all races/ethnicities (Fig. 1) and income levels (Fig. 2). The trend lines for different races and income levels appeared to have greater slopes from 2004 to 2010 while converging and reaching a plateau in 2010–2011. No racial or income disparities were evident after 2011. Comparing trends for cost-sharing elimination before and after 2010, a statistically significant upward but small trend was found among all races (Fig. 1) and income levels (Fig. 2).

FIG. 1.

FIG. 1.

Elimination of cost sharing for screening mammography before and after the 2010 ACA implementation and mammography screening utilization before and after the USPSTF breast screening recommendation revision, by race and among women ages 40–74. ACA, Affordable Care Act; USPSTF, U.S. Preventive Services Task Force.

FIG. 2.

FIG. 2.

Elimination of cost sharing for screening mammography before and after the 2010 ACA implementation and mammography screening utilization before and after the USPSTF breast screening recommendation revision, by income level and among women ages 40–74.

The trends for cost-sharing elimination by race (Fig. 3) and income (Fig. 4) among those 50 and older mirrored the population at large.

FIG. 3.

FIG. 3.

Elimination of cost sharing for screening mammography before and after the 2010 ACA implementation and mammography screening utilization before and after the USPSTF breast screening recommendation revision, by race and among women ages 50–74.

FIG. 4.

FIG. 4.

Elimination of cost sharing for screening mammography before and after the 2010 ACA implementation and mammography screening utilization before and after the USPSTF breast screening recommendation revision, by income level and among women ages 50–74.

Screening mammography utilization over time

Screening mammography utilization showed a small upward trend from 2004 to 2009 among all races, while reaching a plateau or trending downward after 2009 in all races except for African Americans (Fig. 1). Comparing slopes for screening mammography utilization before and after 2009 by race/ethnicity, Caucasians and Asians showed a statistically significant decline in screening utilization after 2009, while African Americans were the only racial group who demonstrated a statistically significant increase in screening utilization after 2009 (Fig. 1).

Screening mammography utilization showed a small upward trend from 2004 to 2009 among women with both income levels ≤400% FPL and >400% FPL, while demonstrating a comparable downward trend in both groups after 2009 (Fig. 2). Comparing slopes for screening mammography utilization before and after 2009 by poverty status, both women with income levels ≤400% FPL and >400% FPL showed a significant downward trend after 2009 (Fig. 2).

Regarding the subanalyses of screening utilization by race and income among those 50 and older, we demonstrated that African American women in this age group experienced a plateau in screening utilization after 2009 rather than a decline in other groups (Table 3 and Fig. 3). The trends in screening utilization by income in this older population mirrored the population at large (Table 4 and Fig. 4).

Table 3.

Patterns of Screening Utilization and Cost Sharing by Race/Ethnicity Among Women Ages 50–74

  2004   2005   2006   2007   2008   2009   2010   2011   2012   2013   2014  
Total eligible women 792,555   901,679   940,845   1,030,424   1,084,522   1,106,122   1,065,851   1,105,982   1,098,146   1,092,012   939,417  
Screening utilization N % N % N % N % N % N % N % N % N % N % N %
Race/Ethnicity                                            
 Screening utilization among Asian race 5,633 35.3 7,075 38.5 8,249 41.0 9,647 42.5 10,895 42.8 11,795 44.8 11,738 44.5 11,906 43.0 12,011 41.8 12,596 41.6 11,379 40.8
 Screening utilization among African American race 22,288 36.2 27,107 37.7 31,811 39.4 44,060 41.3 48,553 40.8 53,453 41.9 49,619 42.1 49,274 41.6 47,090 41.4 46,998 42.0 31,871 38.3
 Screening utilization among Hispanic ethnicity 15,586 34.2 19,556 36.3 23,103 38.2 25,634 38.7 28,054 39.4 29,874 41.0 27,272 40.1 29,423 40.1 28,537 38.9 30,129 39.7 29,432 38.6
 Screening utilization among unknown race 15,317 39.8 17,030 42.2 17,169 43.2 17,564 44.9 17,960 45.2 18,423 46.4 17,636 45.3 18,018 44.1 17,849 43.2 18,646 44.4 16,565 43.2
 Screening utilization among Caucasian race 242,065 40.9 292,922 42.8 318,732 44.3 355,320 45.6 371,852 45.7 384,554 46.7 367,409 45.9 368,536 44.4 360,214 43.7 363,748 44.7 306,682 43.4
Zero cost share N % N % N % N % N % N % N % N % N % N % N %
Race/Ethnicity
 Proportion of Asian race with zero cost share 4,528 80.4 5,824 82.3 6,971 84.5 8,347 86.5 9,149 84.0 10,439 88.5 10,628 90.5 11,494 96.5 11,676 97.2 12,294 97.6 11,161 98.1
 Proportion of African American race with zero cost share 17,881 80.2 21,966 81.0 27,916 87.8 39,843 90.4 43,661 89.9 49,654 92.9 47,065 94.9 48,200 97.8 46,065 97.8 46,199 98.3 31,271 98.1
 Proportion of Hispanic ethnicity with zero cost share 13,127 84.2 16,809 86.0 20,447 88.5 22,885 89.3 25,001 89.1 27,485 92.0 25,159 92.3 28,686 97.5 27,781 97.4 29,327 97.3 28,937 98.3
 Proportion of unknown race with zero cost share 12,375 80.8 13,977 82.1 14,903 86.8 15,476 88.1 15,721 87.5 16,660 90.4 16,120 91.4 17,268 95.8 17,189 96.3 18,054 96.8 16,233 98.0
 Proportion of Caucasian race with zero cost share 193,979 80.1 238,434 81.4 275,826 86.5 313,105 88.1 327,122 88.0 350,535 91.2 338,343 92.1 354,646 96.2 348,193 96.7 353,753 97.3 300,639 98.0

Table 4.

Patterns of Screening Utilization and Cost Sharing by Poverty Status Among Women Ages 50–74

Characteristic 2004   2005   2006   2007   2008   2009   2010   2011   2012   2013   2014  
Total eligible women 792,555   901,679   940,845   1,030,424   1,084,522   1,106,122   1,065,851   1,105,982   1,098,146   1,092,012   939,417  
Screening utilization N % N % N % N % N % N % N % N % N % N % N N
Poverty status
 Screening utilization among ≤400% FPL 35,792 37.8 50,029 39.5 61,152 40.6 84,481 41.5 101,605 40.7 111,240 41.4 101,423 40.9 97,694 38.3 94,234 37.9 94,550 39.1 75,295 37.5
 Screening utilization among >400% FPL 113,227 43.1 151,901 45.0 186,120 46.2 248,036 47.3 311,036 46.8 350,832 47.9 338,940 47.1 347,056 46.1 341,244 45.3 345,755 46.2 291,472 44.7
Zero cost share N % N % N % N % N % N % N % N % N % N % N %
Poverty status
 Proportion ≤400% FPL with zero cost share 27,789 77.6 39,806 79.6 51,191 83.7 73,494 87.0 89,664 88.2 101,429 91.2 93,823 92.5 94,844 97.1 91,609 97.2 92,182 97.5 73,947 98.2
 Proportion >400% FPL with zero cost share 91,040 80.4 124,432 81.9 161,219 86.6 218,714 88.2 273,269 87.9 320,497 91.4 312,814 92.3 334,143 96.3 330,054 96.7 336,570 97.3 285,737 98.0

Discussion

Among our sample of employer-based insured women, we found an upward trend in the proportion of women with zero cost sharing for screening mammography both before and after 2010 among all races/ethnicities and income levels. By 2010, when ACA mandated cost-sharing elimination for screening mammography, >90% of women in our sample already had zero cost share for screening mammography, independent of their race/ethnicity or poverty status. After 2010, a small increase in cost-sharing elimination was seen among all races and income levels with no evident racial or income disparities with respect to the impact of ACA provision on screening mammography cost-sharing elimination.

Despite the universal upward trend in cost-sharing elimination, in our sample of employer-based insured women, screening mammography utilization plateaued or showed a significant decline after 2009 in all income and racial groups except for African Americans.

Extensive efforts to improve breast cancer screening predate the ACA, including the near-complete elimination of financial barriers to breast screening in the employed insured population. In a recent study, Carlos et al.15 suggested that we may be experiencing a ceiling effect in further responses of screening rates to financial incentives that reduce screening cost. Our findings build on prior works to show that this ceiling effect is likely similar among all races/ethnicities and income levels. Screening mammography utilization among our sample of insured women appeared, however, to be more influenced by the 2009 USPSTF revised recommendations. We have previously shown a general decline in screening mammography utilization in the years following the implementation of the 2009 USPSTF recommendations.11 In this study, examining race-specific rates and trends enabled us to show that screening mammography utilization has continued to increase among African American women even after the implementation of the USPSTF recommendations in 2009. In African American women 50 and older, the screening utilization appeared to plateau rather than frankly decline as in the other races and ethnicities. This finding suggests that the increase in utilization among African American women is concentrated in younger women, 40–49-year olds.

Lee et al.16 showed that the release of the revised 2009 USPSTF recommendations for screening mammography was associated with a decline in screening mammography utilization among white, but not African American, women. As breast cancer mortality rate remains higher among African American women, it has been suggested that African American women may better perceive the benefits of screening mammography.17 Similarly, we can speculate that physician recommendations for screening mammography may vary across different racial groups based on prognosis and mortality rates.

Future research is needed to clarify why impact of USPSTF recommendation revisions on screening behaviors varies among women with different races. Nevertheless, these findings suggest that the racial gap in screening mammography has closed and potentially reversed among African American women with employer-based health insurance plans. It is important to continue monitoring screening utilization as health care policies and guidelines change, as these changes may affect disparities in screening between different racial and income groups.

A strength of this study is the use of large patient-level data set, including patient demographics (e.g., race and income) and payment (e.g., copayment and deductible) information, which allowed us to describe and assess patterns of screening mammography utilization and cost-sharing elimination over time by race and income level. However, there are a number of limitations to our study. First, our descriptive cross-sectional design limited our ability to determine causal associations between cost-sharing elimination and screening mammography utilization. In addition, we cannot assess whether individual women experienced reductions in their cost sharing or changed their use of screening mammography in response. Furthermore, our sample of employed insured women has potentially resulted in underestimation of racial and income disparities in screening mammography utilization. Lastly, while using administrative data offers the opportunity to examine changes in large populations, there are inherent weaknesses such as variation in coding and billing.

Acknowledgments

This study was coordinated by the ECOG-ACRIN Cancer Research Group (Peter O'Dwyer, MD, and Mitchell D. Schnall, MD, PhD, Group Co-Chairs) and supported by the National Cancer Institute of the National Institutes of Health under the following award numbers: CA189828, CA180801. SFD is supported by NIH T32 EB005970-09. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. government.

Author Disclosure Statement

No competing financial interests exist.

References


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