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Figure.
Study Flow Diagram
Study Flow Diagram

SEER indicates Surveillance, Epidemiology, and End Results registry of the National Cancer Institute.

Table 1.  
Demographic Characteristics of 485 Participants With Breast Cancer Who Underwent Mastectomya
Demographic Characteristics of 485 Participants With Breast Cancer Who Underwent Mastectomya
Table 2.  
Clinical Characteristics of 485 Participants With Breast Cancer Who Underwent Mastectomy
Clinical Characteristics of 485 Participants With Breast Cancer Who Underwent Mastectomy
Table 3.  
Adjusted ORs for Not Undergoing Reconstructiona
Adjusted ORs for Not Undergoing Reconstructiona
Table 4.  
Adjusted ORs for Dissatisfaction With the Reconstruction Decision-Making Processa
Adjusted ORs for Dissatisfaction With the Reconstruction Decision-Making Processa
Table 5.  
Reasons Given by Patients for Not Undergoing Reconstructiona
Reasons Given by Patients for Not Undergoing Reconstructiona
Table 6.  
Reasons Given by Patients for Delay in Breast Reconstructiona
Reasons Given by Patients for Delay in Breast Reconstructiona
1.
Alderman  AK, Hawley  ST, Janz  NK,  et al.  Racial and ethnic disparities in the use of postmastectomy breast reconstruction: results from a population-based study. J Clin Oncol. 2009;27(32):5325-5330.
PubMedArticle
2.
Kruper  L, Holt  A, Xu  XX,  et al.  Disparities in reconstruction rates after mastectomy: patterns of care and factors associated with the use of breast reconstruction in Southern California. Ann Surg Oncol. 2011;18(8):2158-2165.
PubMedArticle
3.
Greenberg  CC, Lipsitz  SR, Hughes  ME,  et al.  Institutional variation in the surgical treatment of breast cancer: a study of the NCCN. Ann Surg. 2011;254(2):339-345.
PubMedArticle
4.
Alderman  AK, Hawley  ST, Waljee  J, Mujahid  M, Morrow  M, Katz  SJ.  Understanding the impact of breast reconstruction on the surgical decision-making process for breast cancer. Cancer. 2008;112(3):489-494.
PubMedArticle
5.
Katz  SJ, Hawley  ST, Abrahamse  P,  et al.  Does it matter where you go for breast surgery? attending surgeon’s influence on variation in receipt of mastectomy for breast cancer. Med Care. 2010;48(10):892-899.
PubMedArticle
6.
New York State Assembly. Information and access to breast reconstructive surgery. 2010. http://open.nysenate.gov/legislation/bill/a10094b-2009. Accessed July 7, 2014.
7.
Alderman  AK, Hawley  ST, Morrow  M,  et al.  Receipt of delayed breast reconstruction after mastectomy: do women revisit the decision? Ann Surg Oncol. 2011;18(6):1748-1756.
PubMedArticle
8.
Hamilton  AS, Hofer  TP, Hawley  ST,  et al.  Latinas and breast cancer outcomes: population-based sampling, ethnic identity, and acculturation assessment. Cancer Epidemiol Biomarkers Prev. 2009;18(7):2022-2029.
PubMedArticle
9.
Hawley  ST, Griggs  JJ, Hamilton  AS,  et al.  Decision involvement and receipt of mastectomy among racially and ethnically diverse breast cancer patients. J Natl Cancer Inst. 2009;101(19):1337-1347.
PubMedArticle
10.
Dillman  DA. Mail and Telephone Surveys: The Total Design Method. New York, NY: Wiley; 1978.
11.
Greene  FL, Page  DL, Flemming  ID,  et al; American Joint Committee on Cancer, eds. Cancer Staging Manual.6th ed. New York, NY: Springer; 2002:233-240.
12.
Groves  RM, Fowler  FJ, Couper  MP, Lepkowski  JM, Singer  E, Tourangeau  R. Survey Methodology.2nd ed. Hoboken, NJ: John Wiley & Sons; 2009.
13.
Morrow  M, Mujahid  M, Lantz  PM,  et al.  Correlates of breast reconstruction: results from a population-based study. Cancer. 2005;104(11):2340-2346.
PubMedArticle
14.
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 US population-based study. Plast Reconstr Surg. 2012;129(5):1071-1079.
PubMedArticle
15.
Kaplan  CP, Karliner  LS, Hwang  ES,  et al.  The effect of system-level access factors on receipt of reconstruction among Latina and white women with DCIS. Breast Cancer Res Treat. 2011;129(3):909-917.
PubMedArticle
16.
Morrow  M, Jagsi  R, Alderman  AK,  et al.  Surgeon recommendations and receipt of mastectomy for treatment of breast cancer. JAMA. 2009;302(14):1551-1556.
PubMedArticle
17.
Tseng  JF, Kronowitz  SJ, Sun  CC,  et al.  The effect of ethnicity on immediate reconstruction rates after mastectomy for breast cancer. Cancer. 2004;101(7):1514-1523.
PubMedArticle
18.
Bezuhly  M, Temple  C, Sigurdson  LJ, Davis  RB, Flowerdew  G, Cook  EF  Jr.  Immediate postmastectomy reconstruction is associated with improved breast cancer-specific survival: evidence and new challenges from the Surveillance, Epidemiology, and End Results database. Cancer. 2009;115(20):4648-4654.
PubMedArticle
19.
Eriksen  C, Frisell  J, Wickman  M, Lidbrink  E, Krawiec  K, Sandelin  K.  Immediate reconstruction with implants in women with invasive breast cancer does not affect oncological safety in a matched cohort study. Breast Cancer Res Treat. 2011;127(2):439-446.
PubMedArticle
20.
McCarthy  CM, Pusic  AL, Sclafani  L,  et al.  Breast cancer recurrence following prosthetic, postmastectomy reconstruction: incidence, detection, and treatment. Plast Reconstr Surg. 2008;121(2):381-388.
PubMedArticle
21.
Reddy  S, Colakoglu  S, Curtis  MS,  et al.  Breast cancer recurrence following postmastectomy reconstruction compared to mastectomy with no reconstruction. Ann Plast Surg. 2011;66(5):466-471.
PubMedArticle
22.
Rosson  GD, Singh  NK, Ahuja  N, Jacobs  LK, Chang  DC.  Multilevel analysis of the impact of community vs patient factors on access to immediate breast reconstruction following mastectomy in Maryland. Arch Surg.2008;143(11):1076-1081.
PubMedArticle
Original Investigation
October 2014

Access to Breast Reconstruction After Mastectomy and Patient Perspectives on Reconstruction Decision Making

Author Affiliations
  • 1Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
  • 2School of Public Health, University of Michigan, Ann Arbor
  • 3The Swan Center for Plastic Surgery, Alpharetta, Georgia
  • 4Department of Radiation Oncology, University of Michigan, Ann Arbor
  • 5Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles
  • 6Department of Radiation Oncology, Robert Wood Johnson Medical School, New Brunswick, New Jersey
  • 7Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
  • 8Medical School, University of Michigan, Ann Arbor
  • 9School of Public Health, University of Michigan, Ann Arbor
  • 10Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor
JAMA Surg. 2014;149(10):1015-1021. doi:10.1001/jamasurg.2014.548
Abstract

Importance  Most women undergoing mastectomy for breast cancer do not undergo breast reconstruction.

Objective  To examine correlates of breast reconstruction after mastectomy and to determine if a significant unmet need for reconstruction exists.

Design, Setting, and Participants  We used Surveillance, Epidemiology, and End Results registries from Los Angeles, California, and Detroit, Michigan, for rapid case ascertainment to identify a sample of women aged 20 to 79 years diagnosed as having ductal carcinoma in situ or stages I to III invasive breast cancer. Black and Latina women were oversampled to ensure adequate representation of racial/ethnic minorities. Eligible participants were able to complete a survey in English or Spanish. Of 3252 women sent the initial survey a median of 9 months after diagnosis, 2290 completed it. Those who remained disease free were surveyed 4 years later to determine the frequency of immediate and delayed reconstruction and patient attitudes toward the procedure; 1536 completed the follow-up survey. The 485 who remained disease free at follow-up underwent analysis.

Exposures  Disease-free survival of breast cancer.

Main Outcomes and Measures  Breast reconstruction at any time after mastectomy and patient satisfaction with different aspects of the reconstruction decision-making process.

Results  Response rates in the initial and follow-up surveys were 73.1% and 67.7%, respectively (overall, 49.4%). Of 485 patients reporting mastectomy at the initial survey and remaining disease free, 24.8% underwent immediate and 16.8% underwent delayed reconstruction (total, 41.6%). Factors significantly associated with not undergoing reconstruction were black race (adjusted odds ratio [AOR], 2.16 [95% CI, 1.11-4.20]; P = .004), lower educational level (AOR, 4.49 [95% CI, 2.31-8.72]; P < .001), increased age (AOR in 10-year increments, 2.53 [95% CI, 1.77-3.61]; P < .001), major comorbidity (AOR, 2.27 [95% CI, 1.01-5.11]; P = .048), and chemotherapy (AOR, 1.82 [95% CI, 0.99-3.31]; P = .05). Only 13.3% of women were dissatisfied with the reconstruction decision-making process, but dissatisfaction was higher among nonwhite patients in the sample (AOR, 2.87 [95% CI, 1.27-6.51]; P = .03). The most common patient-reported reasons for not having reconstruction were the desire to avoid additional surgery (48.5%) and the belief that it was not important (33.8%), but 36.3% expressed fear of implants. Reasons for avoiding reconstruction and systems barriers to care varied by race; barriers were more common among nonwhite participants. Residual demand for reconstruction at 4 years was low, with only 30 of 263 who did not undergo reconstruction still considering the procedure.

Conclusions and Relevance  Reconstruction rates largely reflect patient demand; most patients are satisfied with the decision-making process about reconstruction. Specific approaches are needed to address lingering patient-level and system factors with a negative effect on reconstruction among minority women.

Introduction

Universal coverage for postmastectomy breast reconstruction was mandated after the enactment of the Women’s Health and Cancer Rights Act in the United States in 1998. Despite guaranteed insurance coverage, most women undergoing mastectomy for breast cancer do not undergo breast reconstruction, with rates of reconstruction ranging from 25% to 35% in population-based studies1,2 of women treated from 2003 through 2007. Even among women treated in National Cancer Institute–designated cancer centers participating in the National Comprehensive Cancer Network, slightly more than 50% of those undergoing mastectomy underwent reconstruction.3 Variations in rates of reconstruction have been associated with age, insurance status, ethnicity, and supply of reconstructive surgeons.13 This variation, coupled with evidence of significant between-surgeon variation in discussion of reconstruction4 and rates of mastectomy and breast reconstruction5 suggests that patients’ needs for reconstruction may not be addressed fully. These concerns resulted in the passage of a New York State law in 2010 mandating that surgeons discuss the availability of breast reconstruction with patients before breast cancer treatment, provide information about insurance coverage, and refer them to a hospital where reconstruction is available if necessary.6 However, little is known about patient perceptions regarding reconstruction, and whether a significant unmet need for breast reconstruction exists remains unknown. In addition, most studies that have examined reconstruction do not include patients who underwent the surgical procedure later (delayed reconstruction). A previous study7 reported that delayed reconstruction was infrequent in a population-based sample of women diagnosed as having breast cancer in 2002 and found that only 59% of patients in that study who did not undergo reconstruction believed that they were adequately informed about the procedure. The purpose of this study was to examine the rates of immediate and delayed breast reconstruction and correlates of their use in a diverse, population-based sample treated in a more recent period to determine whether significant gaps in awareness regarding breast reconstruction persist. In addition, we sought to examine patient attitudes toward reconstruction and identify whether a significant unmet need for reconstruction after completion of cancer treatment exists.

Methods
Study Population and Data Collection

Women in the metropolitan areas of Los Angeles, California, and Detroit, Michigan, who were aged 20 to 79 years; were diagnosed as having ductal carcinoma in situ or invasive breast cancer from June 1, 2005, through February 28, 2007; and were reported to the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program registries in both regions were eligible for initial sample selection. Patients were excluded if they had stage IV breast cancer, died before the initial survey, or could not complete the initial questionnaire in English or Spanish. Asian women in Los Angeles also were excluded because of enrollment in other studies. Latina (in Los Angeles) and black (in Los Angeles and Detroit) patients were oversampled to ensure sufficient representation of racial/ethnic minorities.8,9

Eligible patients were identified via rapid case ascertainment as they were reported monthly to the collaborating SEER registries. Physicians were notified of our intent to contact patients, followed by a patient mailing consisting of a letter, survey materials, and a $10 cash gift to eligible study participants. All materials were sent in English and Spanish to those with Spanish surnames. Patients were initially interviewed at a mean of 9 months after diagnosis (mean completion window, 9 [range, 5-14] months). A follow-up survey was sent to those who completed the baseline survey approximately 4 years after diagnosis (mean completion window, 50 [range, 36-65] months). The Dillman survey method was used for both surveys to encourage response.10

The Figure shows the decay in the sample from the initial accrual of patients through the selection of the sample for the analysis in this study. Of 3252 patients initially identified and sent a baseline survey, 2290 (73.1%) completed that survey; and 1536 patients (67.7%) completed the follow-up survey. The overall response rate was 49.4% (1536 of 3111 [3252 initially identified patients minus 119 who were excluded and 22 whose baseline survey could not be merged with SEER data]). The analytic sample for this study consists of the 485 patients who reported undergoing mastectomy at the initial survey, completed the follow-up survey, and indicated that they did not have a recurrence of breast cancer. The study protocol was approved by the institutional review boards of the University of Michigan in Ann Arbor, University of Southern California, and Wayne State University, Detroit. Informed consent was waived because completion of the survey was believed to indicate consent.

Measures

A primary outcome of interest was a binary variable that indicated whether or not a patient underwent breast reconstruction at any time since the mastectomy, obtained from both surveys. The second outcome of interest was patient satisfaction with different aspects of the reconstruction decision-making process, obtained from the follow-up survey. Patients were asked to agree/disagree with statements regarding their satisfaction with the following aspects of the decision-making process: (1) being satisfied with the decision about whether to have reconstruction; (2) not regretting the choice they made regarding whether to have breast reconstruction; and (3) being satisfied about the information given about the issues important to breast reconstruction. The response category format was a Likert scale that ranged from 1 (strongly disagree) to 5 (strongly agree). The items were recoded to obtain congruent valence, and a mean was calculated to make a scale. We dichotomized the scale score as low satisfaction (<3) or higher satisfaction (≥3). In addition, we examined the reasons why patients did not undergo breast reconstruction or delayed reconstruction across the following 2 dimensions: (1) patient factors, such as their attitudes toward reconstruction (ie, worry, too much time off work or away from family) or clinical reasons; and (2) systems factors. Patients were asked to what extent each reason contributed to their decision, ranging from 1 (“not at all”) to 5 (“a lot”) using a Likert scale.

The independent variables considered in this study included patient demographics, patient clinical/treatment factors, and site (Detroit vs Los Angeles). Patient demographics included age, educational level, race/ethnicity, partner status, income, insurance types, and smoking status. Patient clinical factors included cancer stage, presence of key medical comorbidities (ie, chronic obstructive pulmonary disease, heart disease, diabetes mellitus, or stroke), and breast size. Treatment factors included chemotherapy, radiotherapy, and timing of reconstruction (delayed or immediate reconstruction after mastectomy). All these variables were self-reported except cancer stage. We used the American Joint Committee on Cancer staging system11 to classify cancer stage, which was obtained from the SEER registry.

Statistical Analysis

We first conducted an analysis comparing key baseline categorical variables between responders (those who completed the baseline and follow-up surveys) and nonresponders using χ2 tests. We then calculated summary statistics on our sample population using percentages for categorical variables and means and standard deviations for continuous variables. Logistic regression was used to assess the odds of patients not undergoing reconstruction after mastectomy. The independent variables for this model included age, partner status, educational level, race/ethnicity, income, insurance types, comorbidities, prediagnosis brassiere cup size, cancer stage, radiotherapy, chemotherapy, contralateral prophylactic mastectomy, and SEER site. Similarly, we used logistic regression to model the odds of being dissatisfied with the decision-making process. The independent variables for this model included the status of reconstruction (yes vs no), age, educational level, race/ethnicity, marriage/partner status, income, insurance type, cancer stage, and SEER site. To achieve parsimony of the regression models, we used a backward variable selection method to eliminate the variables that did not reach the statistical significance level of .10. Finally, we described the distribution of responses on a list of reasons why women did not receive reconstruction or delayed the procedure. This list was based on the percentages of patients who reported that a given issue contributed to their decision to omit or delay reconstruction (“quite a bit,” “a lot,” “somewhat,” and “not at all”). We examined the difference in these percentages across racial/ethnic groups using Mantel-Haenszel tests.

All the descriptive and regression analyses described above were weighted using survey procedures (eg, PROC SURVEYLOGISTIC [SAS Institute] for logistic regression) to account for differential probabilities of sample selection and nonresponse, which made our statistical inference more representative of the population. We created an analytic weight that accounted for the initial sampling design (oversampling of black and Latina patients and disproportionate selection across geographic sites) and differential nonresponse in the 2 survey waves.12 All analyses used commercially available statistical software (SAS, version 9.2; SAS Institute).

Results

An analysis of sampled patients comparing nonrespondents with respondents who completed the initial and the follow-up surveys showed no significant differences by age at diagnosis. However, compared with respondents, nonrespondents to the follow-up survey were more likely to be black (35.2% vs 26.7%; P < .001) or Latina (17.2% vs 13.3%; P = .002), more likely to have stage II or III cancer (54.9% vs 37.8%; P < .001), and more likely to have undergone mastectomy (37.5% vs 30.8%; P < .001).

The characteristics of the patient population are summarized in Table 1 and Table 2. The mean age was 55.8 years; 42.2% had no more than a high school education, and 64.3% had stage I or II breast cancer. Postmastectomy radiotherapy was reported by 33.0%, and 11.6% underwent a contralateral prophylactic mastectomy. Overall, 41.6% of the 485 patients treated with mastectomy who remained disease free had breast reconstruction; 146 of the procedures (24.8%) were performed at the time of mastectomy, and 76 (16.8%) were delayed. The most common type of reconstruction used implants or tissue expanders (61.9% of those undergoing reconstruction). A multivariable regression analysis of factors associated with not undergoing any breast reconstruction is shown in Table 3. Black patients, those with no more than a high school education, those without private insurance, those with any major comorbidity, older women, and those residing in Los Angeles County were significantly less likely to undergo reconstruction than their counterparts. Patients who received chemotherapy were also significantly less likely to undergo reconstruction.

Most women reported being satisfied with the decision-making process regarding reconstruction. The mean satisfaction score was 3.9 (SE, 0.05) on a 5-point Likert scale. About 13.3% of women reported being dissatisfied with the decision-making process (score, <3). Table 4 shows correlates of dissatisfaction with the reconstruction decision-making process; dissatisfaction was associated with being black or Latina (P = .03) but not with lower income or educational levels.

Reasons for not undergoing reconstruction are summarized in Table 5 for the 263 women treated with mastectomy alone. Common reasons among women of all racial/ethnic groups were the desire to avoid additional surgery (48.5%) or the feeling that reconstruction was not important (33.8%). However, ethnic minority groups were less likely to report the desire to avoid additional surgery (70.0% for nonblack, non-Latina patients vs 39.7% and 34.1% for black and Latina patients, respectively; P < .001) or that reconstruction was not important (42.4% for nonblack, non-Latina patients vs 21.6% and 31.3% for black and Latina patients, respectively; P = .04). Fear of implants (36.3%) was another commonly reported reason for not undergoing reconstruction. Concerns about interference with the detection of cancer and lack of awareness of the availability of reconstruction were cited by 23.9% and 18.1% of the sample, respectively. We found significant racial/ethnic gradients for some of the other reasons given for not undergoing reconstruction. More Latina patients reported concerns about interference with cancer detection or complications of the procedure and not being able to take time off from work or family. More black and Latina patients reported the systems barrier of having no insurance coverage.

Most of the 76 patients who underwent delayed breast reconstruction reported treatment-related reasons for the delay, including the need to focus on cancer treatment (68.7%) or the need to accommodate chemotherapy (50.7%) or radiotherapy (26.3%) (Table 6). Fewer than 15% indicated that they were unaware of the option of breast reconstruction at the time of their breast cancer surgery or that they had problems with insurance. We found little residual demand for breast reconstruction among women who had not undergone the procedure by 4 years after diagnosis; only 30 of the 263 respondents (11.4%) who had not undergone reconstruction indicated they were still considering the procedure.

Discussion

Our study suggests that the rate of breast reconstruction after mastectomy has been relatively stable over time in 2 large, diverse SEER catchment areas. In an earlier study7,13 of women identified in the Detroit and Los Angeles SEER registries and treated from December 2001 through January 2003, 36% of those undergoing mastectomy had immediate reconstruction and an additional 12% underwent delayed reconstruction. In our present sample of patients diagnosed from July 1, 2005, through February 28, 2007, from the same SEER registries, the overall rate of reconstruction was 41.6% (24.8% immediate and 16.8% delayed). These findings are consistent with the 25% to 29% increase in reconstruction seen in statewide data from California from 2003 through 2007.2 Albornoz et al14 used the Nationwide Inpatient Sample database to examine rates of immediate reconstruction in 2008 and found that 37.8% of patients undergoing mastectomy underwent immediate reconstruction.

Although the optimal rate of breast reconstruction is uncertain, our results suggest that patient demand and clinical and treatment factors largely determined who underwent the procedure. A lack of interest in additional surgery at the time of cancer diagnosis was the primary reason for not undergoing reconstruction in our present patient sample and in a previously described sample.7,13 Other investigators have also found that patients’ feelings that reconstruction was not important and patients’ desires to avoid additional surgery are the major factors responsible for low rates of reconstruction.15 Although feeling that reconstruction is not important may seem counterintuitive, breast-conserving surgery with radiotherapy is an alternative way to maintain a breast that is an option for most women with early-stage breast cancer,16 involves a smaller surgical procedure with more rapid recovery than mastectomy with reconstruction, and results in a sensate breast mound. In contrast, mastectomy with reconstruction often requires additional surgical procedures, and the reconstructed breast lacks normal sensation, making breast-conserving surgery the preferred choice for some women desiring to maintain a breast. Greenberg et al3 have demonstrated a strong inverse correlation between institutional rates of breast-conserving surgery and mastectomy with reconstruction (r = −0.80; P = .02) but no correlation between institutional rates of mastectomy alone and breast-conserving surgery or between mastectomy alone and mastectomy plus reconstruction.

We found that 16.8% of mastectomy-treated patients delayed reconstruction. This finding from a population study is somewhat higher than what was seen in a series from the M. D. Anderson Cancer Center, in which 8% of women underwent delayed reconstruction 15 to 27 months after mastectomy,17 but suggests that most women desiring breast reconstruction have access to immediate breast reconstruction. Patient report of reasons for delaying reconstruction clearly showed that coordinating treatment delivery was the major factor in the decision to forgo reconstruction in our study population. Another reassuring finding from this study is that 4 years after diagnosis, only 30 of the 263 patients (11.4%) who had not undergone reconstruction were still considering it.

Our results suggest that some barriers to breast reconstruction linger. Black patients were less likely than nonblack, non-Latina patients to undergo reconstruction. In addition, patients without private insurance plans were less likely to undergo reconstruction. Patient-reported reasons for not undergoing reconstruction suggested patient knowledge- and attitude-related barriers and systems issues. Almost one-fifth of women who did not undergo reconstruction reported a lack of knowledge regarding the procedure. Many women continue to report fear of implants as 1 reason for forgoing reconstruction, despite their proven safety.1820 Nearly one-fourth of women who did not undergo reconstruction in our sample reported concern about potential interference with cancer detection as a decision factor despite the clinical evidence not supporting this contention.20,21 Furthermore, Latina patients were more likely than other groups to endorse these beliefs. Results also suggest the presence of lingering systems-related barriers for some patient subgroups—particularly for black patients, 23.7% of whom reported insurance-related barriers (vs 2.2% of nonblack, non-Latina and 18.6% of Latina patients; P = .001). These findings are consistent with those of a prior study in this patient sample examining racial and ethnic disparities in the use of reconstruction in which minority women were found to have lower satisfaction with the information received and decision making than white women.1 Other studies have also observed lower rates of reconstruction among black,2 Asian,2,22 and Latina women.15

Some aspects of the study methods merit comment. A strength of the study was its diverse population-based sample and rigorous attention to measurement.8,12 The results are limited to women from 2 metropolitan areas and may not reflect access to reconstruction nationally, particularly in rural areas where plastic surgeons may be less available. The study was retrospective in design, and patient recall of their clinician encounters may have varied over time. Finally, we noted substantial decay in the longitudinal sample, which may have introduced selection bias.

Conclusions

We found that women are largely satisfied with the process of making decisions about breast reconstruction and that stable rates of the procedure largely reflect patient demand. A minority of women delayed reconstruction within 4 years of cancer diagnosis, and delay was largely explained by relevant clinical and treatment-related factors. These findings suggest that legislative mandates to change the approach to patient education, such as a New York State law passed in 2010,6 are likely to be less effective than more ground-level practice initiatives, such as patient decision tools or encouragement of input from plastic surgeons at the time decisions about treatment are made.5,7 Our study suggests that room exists for improved education regarding the safety of breast implants and the effect of reconstruction on follow-up surveillance, information about which could be readily addressed through decision tools. Finally, development of specific approaches to address patient-level and systems factors with a negative effect on the use of reconstruction among minority women is needed.

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Article Information

Accepted for Publication: December 30, 2013.

Corresponding Author: Monica Morrow, MD, Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY 10065 (morrowm@mskcc.org).

Published Online: August 20, 2014. doi:10.1001/jamasurg.2014.548.

Author Contributions: Drs Morrow and Katz had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors have read and approved the manuscript.

Study concept and design: Morrow, Alderman, Katz.

Acquisition, analysis, or interpretation of data: Morrow, Li, Alderman, Jagsi, Hamilton, Graff, Hawley.

Drafting of the manuscript: Morrow, Li, Alderman, Katz.

Critical revision of the manuscript for important intellectual content: Morrow, Alderman, Jagsi, Hamilton, Graff, Hawley.

Statistical analysis: Li, Alderman.

Obtained funding: Hawley, Katz.

Administrative, technical, and material support: Morrow, Hamilton, Katz.

Study supervision: Alderman, Katz.

Conflict of Interest Disclosures: None reported.

Funding/Support: The design and conduct of the study were supported by grants R01CA109696, R01 CA139014, and R21CA122467 from the National Cancer Institute (NCI) (University of Michigan); by Mentored Research Scholar Grant MRSG-09-145-01 from the American Cancer Society (Dr Jagsi); and by Established Investigator Award K05CA111340 in Cancer Prevention, Control, Behavioral, and Population Sciences Research from the NCI (Dr Katz). The collection of the data was supported by the California Department of Public Health as part of the statewide cancer-reporting program mandated by California Health and Safety Code §103885; by the NCI SEER program under contract N01-PC-35139 (University of Southern California) and under contract N01-PC-54404 and agreement 1U58DP00807-01 (Public Health Institute); and by the NCI SEER program under contract N01-PC-35145.

Role of the Sponsor: The funding organizations had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

References
1.
Alderman  AK, Hawley  ST, Janz  NK,  et al.  Racial and ethnic disparities in the use of postmastectomy breast reconstruction: results from a population-based study. J Clin Oncol. 2009;27(32):5325-5330.
PubMedArticle
2.
Kruper  L, Holt  A, Xu  XX,  et al.  Disparities in reconstruction rates after mastectomy: patterns of care and factors associated with the use of breast reconstruction in Southern California. Ann Surg Oncol. 2011;18(8):2158-2165.
PubMedArticle
3.
Greenberg  CC, Lipsitz  SR, Hughes  ME,  et al.  Institutional variation in the surgical treatment of breast cancer: a study of the NCCN. Ann Surg. 2011;254(2):339-345.
PubMedArticle
4.
Alderman  AK, Hawley  ST, Waljee  J, Mujahid  M, Morrow  M, Katz  SJ.  Understanding the impact of breast reconstruction on the surgical decision-making process for breast cancer. Cancer. 2008;112(3):489-494.
PubMedArticle
5.
Katz  SJ, Hawley  ST, Abrahamse  P,  et al.  Does it matter where you go for breast surgery? attending surgeon’s influence on variation in receipt of mastectomy for breast cancer. Med Care. 2010;48(10):892-899.
PubMedArticle
6.
New York State Assembly. Information and access to breast reconstructive surgery. 2010. http://open.nysenate.gov/legislation/bill/a10094b-2009. Accessed July 7, 2014.
7.
Alderman  AK, Hawley  ST, Morrow  M,  et al.  Receipt of delayed breast reconstruction after mastectomy: do women revisit the decision? Ann Surg Oncol. 2011;18(6):1748-1756.
PubMedArticle
8.
Hamilton  AS, Hofer  TP, Hawley  ST,  et al.  Latinas and breast cancer outcomes: population-based sampling, ethnic identity, and acculturation assessment. Cancer Epidemiol Biomarkers Prev. 2009;18(7):2022-2029.
PubMedArticle
9.
Hawley  ST, Griggs  JJ, Hamilton  AS,  et al.  Decision involvement and receipt of mastectomy among racially and ethnically diverse breast cancer patients. J Natl Cancer Inst. 2009;101(19):1337-1347.
PubMedArticle
10.
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