Secondary Logo

Journal Logo

Immediate Breast Reconstruction among Patients with Medicare and Private Insurance: A Matched Cohort Analysis

Kamali, Parisa MD*; Ricci, Joseph A. MD*; Curiel, Daniel A. BSc*; Cohen, Justin B. MD*; Chattha, Anmol BSc*; Rakhorst, Hinne A. MD, PhD; Lee, Bernard T MD, MBA, MPH*; Lin, Samuel J. MD, MBA*

Plastic and Reconstructive Surgery – Global Open: January 2018 - Volume 6 - Issue 1 - p e1552
doi: 10.1097/GOX.0000000000001552
Original Article
Open
SDC
United States

Background: By eliminating economic hurdles, the Women’s Health and Cancer Rights Act of 1998 represented a paradigm shift in the availability of breast reconstruction. Yet, studies report disparities among Medicare-insured women. These studies do not account for the inherent differences in age and comorbidities between a younger privately insured and an older Medicare population. We examined immediate breast reconstruction (IBR) utilization between a matched pre- and post-Medicare population.

Methods: Using the Nationwide Inpatient Sample database (1992–2013), breast cancer patients undergoing IBR were identified. To minimize confounding medical variables, 64-year-old privately insured women were compared with 66-year-old Medicare-insured women. Demographic data, IBR rates, and complication rates were compared. Trend over time was plotted for both cohorts.

Result: A total of 21,402 64-year-old women and 25,568 66-year-old women were included. Both groups were well matched in terms of demographic type of reconstruction and complication rates. 72.3% of 64-year-old and 71.2 of % 66-year-old women opted for mastectomy. Of these, 25.5% (n = 3,941) of 64-year-old privately insured and 17.7% (n = 3,213) of 66-year-old Medicare-insured women underwent IBR (P < 0.01). During the study period, IBR rates increased significantly in both cohorts in a similar cohort.

Conclusion: This study demonstrates significant increasing IBR rates in both cohorts. Moreover, after an initial slower upward trend, after a decade, IBR in 66-year-old Medicare-insured women approached similar rates of breast reconstruction among those with private insurance. Trends in unilateral versus bilateral mastectomy are also seen.

From the *Division of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Mass.; and Division of Plastic and Reconstructive Surgery, Medisch Spectrum Twente, Enschede, The Netherlands.

Received for publication July 24, 2017; accepted September 8, 2017.

Disclosure: The authors have no financial interest to declare in relation to the content of this article. The Article Processing Charge was paid for by the authors.

Supplemental digital content is available for this article. Clickable URL citations appear in the text.

Samuel J. Lin, MD, MBA, Division of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis St., Suite 5A, Boston, MA 02215, E-mail: sjlin@bidmc.harvard.edu

This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

Back to Top | Article Outline

INTRODUCTION

The Women’s Health and Cancer Rights Act (WHCRA) was federally enacted in 1998 to ensure that all group and individual health plans provide insurance coverage for reconstruction after mastectomy regardless of diagnosis. WHCRA also extended coverage for reconstruction or revision of the contralateral breast to produce a symmetric appearance. This legislation represented a paradigm shift in the availability of reconstruction by eliminating economic hurdles to care.

Although increasing number of women opted for breast reconstruction in the years after the WHCRA, this trend was not consistent across all demographic groups. Significant disparities exist based on access to health care, age, race, geographic location, and patient education.1–15 As a result, patient education events, such as Breast Reconstruction Awareness Day instituted in 2012, have emerged to increase awareness of breast reconstruction. More recently, the Breast Cancer Patient Education Act, passed in December 2015, was designed to implement an educational campaign to inform women in minority and lower socioeconomic groups about their options for breast reconstruction.16

To date, there is a large body of available literature to suggest that insurance status plays a role key in patients’ access to immediate breast reconstruction (IBR).1,2,5–7,9,17–19 These reports suggest that women with Medicare are significantly less likely to undergo breast reconstruction when compared to women with private insurance. However, many of these studies do not always take the inherent differences in age and comorbidities between a younger privately insured population and an older Medicare population into account.2,4,5,8,20–22 This study aims to bridge this knowledge gap, by performing a matched cohort analysis to examine the differences between pre- and post-Medicare and utilization of breast reconstruction in a matched cohort.

Back to Top | Article Outline

METHODS

Patient data were obtained from the Healthcare Cost and Utilization Project Nationwide Inpatient Sample (NIS) database. The NIS, compiled by the Agency for Healthcare Research and Quality (Rockville, Md.), represents the largest all-payer inpatient administrative database in the United States. It contains data from over 1000 hospitals and more than 8 million hospital stays annually and is designed to approximate a 20% sample of all hospital discharges, which includes all nonfederal, short-term, general, and other specialty hospitals, including public hospitals and academic institutions.23

Back to Top | Article Outline

Patient Selection

The International Classification of Diseases, Ninth Revision (ICD-9) procedural coding terminology was used to identify all patients who underwent any type of IBR; all implant-based and autologous techniques of breast reconstruction were included. To make the study population as similar as possible and minimize confounding medical variables, a cohort of 64-year-old women with private insurance was compared with a cohort of 66-year-old women with Medicare. Demographic data, IBR rates, and major complication rates were compared between these 2 cohorts over a 15-year period from 1998 to 2013. Trend over time was plotted for the years 1992 to 2013 to provide an overview of the years before the WHCRA act.

Patients diagnosed with invasive breast cancer (ICD-9 diagnosis codes 174.0, 174.1, 174.2, 174.3, 174.4, 174.5, 174.6, 174.8 and 174.9) undergoing unilateral or bilateral mastectomy were included. Patients with multiple ICD-9 procedure codes or with an additional prophylactic mastectomy code were classified as having bilateral mastectomy. Implant-based breast reconstructions were defined as either placement of immediate silicone implant or tissue expander after mastectomy. Autologous breast reconstructions included both pedicled and free-tissue options: latissimus dorsi flap, pedicled transverse rectus abdominis muscle flap, free transverse rectus abdominis muscle flap, deep inferior epigastric perforator flap, superficial inferior epigastric artery perforator flap, or gluteal artery perforator flaps (see Table, Supplemental Digital Content 1, which shows the ICD-9 procedure codes for mastectomy, implant-based and autologous breast reconstruction, http://links.lww.com/PRSGO/A632). Male patients and those of unknown gender or age were excluded. Cases of breast reconstruction without concurrent mastectomy were considered delayed and were also excluded from analysis.

Back to Top | Article Outline

Analyzed Variables

The analyzed variables included calendar year, geographic region, race, hospital status (teaching or nonteaching, and urban or rural), and number of hospital beds. The hospital’s geographic region was broken down into 4 areas: Northeast (Maine, N.H., Vt., Mass., R.I., Conn., N.Y., N.J., Pa.), Midwest (Ohio, Ind., Ill., Mich., Wis., Minn., Iowa, Mo., N.Dak., S.Dak., Neb., Kans.), South (Del., Md., D.C., Va., W.Va., N.C., S.C., Ga., Fla., Ky., Tenn., Ala., Miss., Ark., La., Okla., Tex.), and West (Mont., Idaho, Wyo., Colo., N.Mex., Ariz., Utah, Nev., Wash., Ore., Calif., Alaska, Hawaii).

Hospital teaching status is determined by NIS as those hospitals with American Medical Association-approved residency programs, or are members of the council of Teaching Hospitals, or have a ratio of full-time residents to beds of 0.25 or greater.24 The number of hospital beds was organized into groups determined by the NIS as follows: small (1–49 beds for rural hospitals, 1–99 for urban nonteaching hospitals, and 1–299 beds for urban teaching hospitals); medium (50–99 for rural hospitals, 100–199 for urban nonteaching hospitals, and 300–499 for urban teaching hospitals); and large (>100 for rural hospitals, >200 beds for urban nonteaching hospitals, and >500 for urban teaching hospitals).10,25 Comorbidities identified using ICD-9 codes were used to calculate the Charlson comorbidity index (CCI).26 The CCI has been validated for administrative databases and has been used previously to examine the influence of comorbidity on breast cancer treatment and outcomes.26–28 CCI score was divided into 4 groups; CCI score 0, CCI score 1, CCI score 2, and CCI score ≥3. Postoperative complications were determined by using ICD-9 codes. The NIS does not contain information on patient outcomes after discharge because it records inpatient data only. Complications occurring after hospital discharge were therefore not captured in our analysis.

Back to Top | Article Outline

Statistical Analysis

The frequencies of categorical variables are expressed as a percentage of the group of origin. Categorical variables were compared using Chi-square analyses. Trends were analyzed using the Cochran–Armitage test. All analyses were performed using IBM SPSS Version 22.0 (IBM Corp., Armonk, N.Y.), and statistical significance was set at P < 0.05.

Back to Top | Article Outline

RESULTS

During the study period, a total of 21,402 women with private insurance (age 64) and 25,568 women with Medicare (age 66) were diagnosed with invasive breast cancer and included in the study. Of these, 72.3% (n = 15,469) within the privately insured cohort and 71.2% (n = 18,194) within the Medicare cohort opted for mastectomy (P = 0.007). During the study period, rates of unilateral mastectomy decreased significantly, whereas rates of bilateral mastectomy increased significantly in both groups. Unilateral mastectomy decreased from 96.8% in 1992 to 49.1% in 2013 (P < 0.001) in the privately insured group (Fig. 1A). Similar trends were seen in Medicare cohort: unilateral mastectomy decreased from 96.5% in 1992 to 65.5% in 2013 (P < 0.001) (Fig. 1B). Bilateral mastectomy consequently increased from 3.5% to 50.9% in the privately insured cohort (P < 0.001) and from 3.2% to 34.5% in the Medicare-insured cohort (P < 0.001) between 1992 and 2013 (Figs. 1A, B).

Fig. 1.

Fig. 1.

Table 1 demonstrates the overall characteristics of patients who underwent postmastectomy IBR. Overall, 25.5% (n = 3,941) of the privately insured patients and 17.7% (n = 3,213) of the Medicare-insured patients underwent IBR (P < 0.001). No significant differences were seen between the 2 groups with respect to type of reconstruction: implant, autologous, or combined (P = 0.225). The majority of women in both cohorts were white (P < 0.001), were operated on in an urban (P < 0.040), teaching hospital (P < 0.004), with a large bed size (P < 0.025), and had a length of stay of 2 days (P = 0.005). Most of privately insured women underwent IBR in the Northeast region (29.9%), whereas the most Medicare-insured women underwent IBR in the Southern region (30.9%) (P < 0.001). No significant difference was seen between the groups in terms of complications or CCI (P = 0.444) (Table 2).

Table 1.

Table 1.

Table 2.

Table 2.

Finally, when looking at the trend over time, IBR increased significantly in both privately insured women and Medicare-insured women (Fig. 2). IBR increased from 3.9% in 1992 to 47.2% in 2013 among privately insured patients (P < 0.001). A similar upward trend was seen in Medicare-insured women, with IBR rates increasing from 2.3% in 1992 to 43.7% in 2013 (P < 0.001) (Fig. 2). The difference in IBR rates between the 2 cohorts is demonstrated in Figure 3. After an initial increase in differences of IBR utilization to 2006 (P < 0.001), a significant decline in different rates is observed up to 2013 (P < 0.001).

Fig. 2.

Fig. 2.

Fig. 3.

Fig. 3.

Back to Top | Article Outline

DISCUSSION

Since the passage of the WHCRA, which mandated coverage of breast reconstruction, there has been an increase in breast reconstruction among both privately and publicly insured patients.2,21,29–31 These findings were corroborated by our study. However, the majority of these articles reported disparities in Medicare-insured women. A recent report by Wexelman et al., using the NIS database, shows that Medicare-insured women are one and a half times less likely to undergo IBR when compared with private-insured women.4 Reports by Roughton and Yang also demonstrated similarly low rates of IBR among Medicare-insured women.2,18 Notably, these articles have not traditionally accounted for the inherent differences in age and comorbidities between the typically younger patients with private insurance and the typically older Medicare population.

In this study, we examined and compared the trends of IBR between women with Medicare and those with privately insurance. To ensure similar groups and minimize bias with respect to inherent differences in medical comorbidities, only women 64 years of age with private insurance and 66 years of age with Medicare were included. Not only did this study show increased rates of IBR over time in both groups, but that after an initial slower upward trend, the rate of IBR in Medicare-insured women nearly equaled that among private insurance over the duration of this study (Fig. 2). In 2013, the final year of this study period, IBR was performed in 47.2% of privately insured women versus 43.7% of women in the Medicare group (data not shown).

This study demonstrates that in recent years, there have been no significant differences in the receipt of IBR in both groups. One reason for the disparity in the literature may be due to the fact that women have been analyzed based on insurance type (Medicare versus private insurance) without regard for patient age and associated comorbidities. This distinction is of particular importance in the group of patients insured by Medicare where there exists a large bimodal distribution of very young and very old women, based on eligibility requirements for coverage. Unlike previous manuscripts, this study is the first to take into account and minimize the differences in comorbidities between these groups before analyzing the rates of IBR by creating matched cohorts.

There are likely many reasons for the observed increased rates of IBR among breast cancer patients. Passage of the WHCRA has lessened the financial barriers to this procedure among a large number of patients. Additionally, the feasibility of prophylactic mastectomy and reconstruction has brought to the public’s attention by several prominent celebrities. In the future, further patient education may likely be a driver toward increased access to IBR as a favorable option for breast cancer patients. Of note, Congress has recently passed the Breast Cancer Patient Education Act of 2015, which will allocate more resources toward patient education regarding options for breast reconstruction after mastectomy.16

Recently, there has been much ongoing speculation among plastic surgeons in the literature that declining reimbursement rates may be limiting the reconstructive options offered to patients.32–35 To this end, Hernandez-Boussard et al. examined surgeon fee schedules using the national average Medicare physician reimbursement rates compared with the type of reconstruction chosen by patients. They observed a steady decrease in the rates of autologous breast reconstruction from 1998 to 2008, which closely paralleled a decrease in physician reimbursement over that same time period.1 Our study did not show a similar trend, but rather that regardless of insurance type, women are being offered IBR at ever increasing rates over a similar time period.

There are several limitations of this study that should be noted. First, although data from the NIS are a reflection of the entire country and provide valuable information on current practices in the United States, this study is retrospective in nature. Second, this study was only limited to patients undergoing breast reconstruction in an immediate fashion after mastectomy. Accordingly, as patients undergoing delayed reconstruction were excluded from this study, there is a cohort of women who ultimately had breast reconstruction that were not included in this study. Finally, we were unable to conduct a detailed assessment of nonsurgical treatment, patient’s background, and the decision-making processes. Nevertheless, this study provides a comprehensive overview of a matched cohort privately insured and Medicare-insured women undergoing IBR.

Back to Top | Article Outline

CONCLUSION

In this study, we examined IBR utilization between a matched population based on insurance type, Medicare or private insurance. The results of this study demonstrate a significant increase in rates of IBR among women regardless of insurance type over the time period of this study. Moreover, after an initial slower upward trend, after a decade, IBR in Medicare-insured women approached nearly similar rates among those with private insurance. Trends in unilateral versus bilateral mastectomy are also seen.

Back to Top | Article Outline

REFERENCES

1. Hernandez-Boussard T, Zeidler K, Barzin A, et al. Breast reconstruction national trends and healthcare implications. Breast J. 2013;19:463–469.
2. Yang RL, Newman AS, Lin IC, et al. Trends in immediate breast reconstruction across insurance groups after enactment of breast cancer legislation. Cancer 2013;119:2462–2468.
3. Offodile AC II, Tsai TC, Wenger JB, et al. Racial disparities in the type of postmastectomy reconstruction chosen. J Surg Res. 2015;195:368–376.
4. Wexelman B, Schwartz JA, Lee D, et al. Socioeconomic and geographic differences in immediate reconstruction after mastectomy in the United States. Breast J. 2014;20:339–346.
5. Mahmoudi E, Giladi AM, Wu L, et al. Effect of federal and state policy changes on racial/ethnic variation in immediate postmastectomy breast reconstruction. Plast Reconstr Surg. 2015;135:1285–1294.
6. Albornoz CR, Bach PB, Pusic AL, et al. The influence of sociodemographic factors and hospital characteristics on the method of breast reconstruction, including microsurgery: a U.S. population-based study. Plast Reconstr Surg. 2012;129:1071–1079.
7. Jagsi R, Jiang J, Momoh AO, et al. Trends and variation in use of breast reconstruction in patients with breast cancer undergoing mastectomy in the United States. J Clin Oncol. 2014;32:919–926.
8. Merchant SJ, Goldstein L, Kruper LL. Patterns and trends in immediate postmastectomy reconstruction in California: complications and unscheduled readmissions. Plast Reconstr Surg. 2015;136:10e–19e.
9. Polednak AP. Geographic variation in postmastectomy breast reconstruction rates. Plast Reconstr Surg. 2000;106:298–301.
10. Kamali P, Koolen PG, Ibrahim AM, et al. Analyzing regional differences over a 15-year trend of one-stage versus two-stage breast reconstruction in 941,191 postmastectomy patients. Plast Reconstr Surg. 2016;138:1e–14e.
11. Ibrahim AM, Shuster M, Koolen PG, et al. Analysis of the National Surgical Quality Improvement Program database in 19,100 patients undergoing implant-based breast reconstruction: complication rates with acellular dermal matrix. Plast Reconstr Surg. 2013;132:1057–1066.
12. Vargas CR, Ganor O, Semnack M, et al. Patient preferences in access to breast reconstruction. J Surg Res. 2015;195:412–417.
13. Ashraf AA, Colakoglu S, Nguyen JT, et al. Patient involvement in the decision-making process improves satisfaction and quality of life in postmastectomy breast reconstruction. J Surg Res. 2013;184:665–670.
14. Kantak NA, Koolen PG, Martin C, et al. Are patients with low body mass index candidates for deep inferior epigastric perforator flaps for unilateral breast reconstruction? Microsurgery 2015;35:421–427.
15. Sinno H, Izadpanah A, Thibaudeau S, et al. An objective assessment of the perceived quality of life of living with bilateral mastectomy defect. Breast 2013;22:168–172.
16. Breast Cancer Patient Education Act of 2015, H. R. 2540, 114th Congress (2015–2016). Available at: https://www.congress.gov/bill/114th-congress/house-bill/2540. Accessed October 15, 2016.
17. Christian CK, Niland J, Edge SB, et al. A multi-institutional analysis of the socioeconomic determinants of breast reconstruction: a study of the National Comprehensive Cancer Network. Ann Surg. 2006;243:241–249.
18. Roughton MC, DiEgidio P, Zhou L, et al. Distance to a plastic surgeon and type of insurance plan are independently predictive of postmastectomy breast reconstruction. Plast Reconstr Surg. 2016;138:203e–211e.
19. Kummerow KL, Du L, Penson DF, et al. Nationwide trends in mastectomy for early-stage breast cancer. JAMA Surg. 2015;150:9–16.
20. Miller A, Chandru Kowdley G. Breast reconstruction after mastectomy at an urban community-based program. Am Surg. 2012;78:1281–1284.
21. Hershman DL, Richards CA, Kalinsky K, et al. Influence of health insurance, hospital factors and physician volume on receipt of immediate post-mastectomy reconstruction in women with invasive and non-invasive breast cancer. Breast Cancer Res Treat. 2012;136:535–545.
22. Kotwall C, Brinker C, Covington D, et al. Local and national trends over a decade in the surgical treatment of ductal carcinoma in situ. Am J Surg. 2003;186:723–728; discussion 728.
23. U.S. Department of Health & Human Services. Agency for Healthcare Research and Quality (HCUP). NIS description. Information available at: http://www.hcup-us.ahrq.gov/databases.jsp. Accessed June 15, 2015.
24. U.S. Department of Health & Human Services. Agency for Healthcare Research and Quality (HCUP). NIS description of data elements. Available at: http://www.hcup-us.ahrq.gov/db/vars/h_bedsz/nisnote.jsp. Accessed June 15, 2015.
25. U.S. Department of Health & Human Services. Agency for Healthcare Research and Quality (HCUP). NIS description of data elements. Available at: http://www.hcup-us.ahrq.gov/ db/vars/hosp_bedsize/nisnote.jsp. Accessed October 8, 2016.
26. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383.
27. Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005;43:1130–1139.
28. Dehal A, Abbas A, Johna S. Racial disparities in clinical presentation, surgical treatment and in-hospital outcomes of women with breast cancer: analysis of nationwide inpatient sample database. Breast Cancer Res Treat. 2013;139:561–569.
29. Albornoz CR, Bach PB, Mehrara BJ, et al. A paradigm shift in U.S. Breast reconstruction: increasing implant rates. Plast Reconstr Surg. 2013;131:15–23.
30. Shippee TP, Kozhimannil KB, Rowan K, et al. Health insurance coverage and racial disparities in breast reconstruction after mastectomy. Womens Health Issues 2014;24:e261–e269.
31. Reuben BC, Manwaring J, Neumayer LA. Recent trends and predictors in immediate breast reconstruction after mastectomy in the United States. Am J Surg. 2009;198:237–243.
32. Silverstein G. Physicians’ perceptions of commercial and Medicaid managed care plans: a comparison. J Health Polit Policy Law. 1997;22:5–21.
33. Taylor TB. Threats to the health care safety net. Acad Emerg Med. 2001;8:1080–1087.
34. Alderman AK, Storey AF, Nair NS, et al. Financial impact of breast reconstruction on an academic surgical practice. Plast Reconstr Surg. 2009;123:1408–1413.
35. Patel A, Clune JE, Forte A, et al. The impact of the Medicare sustainable growth rate formula on reconstructive plastic surgery. Plast Reconstr Surg. 2010;126:270e–271e.

Supplemental Digital Content

Back to Top | Article Outline
Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons.