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. Author manuscript; available in PMC: 2022 Sep 1.
Published in final edited form as: J Geriatr Oncol. 2021 Jun 5;12(7):1092–1099. doi: 10.1016/j.jgo.2021.05.012

Association of Guideline-Concordant Initial Systemic Treatment with Clinical and Economic Outcomes Among Older Women with Metastatic Breast Cancer in the United States

Ami Vyas 1, Tyler Mantaian 1, Shweta Kamat 1, Sobha Kurian 2, Stephen Kogut 1
PMCID: PMC8544754  NIHMSID: NIHMS1709727  PMID: 34099411

Abstract

Purpose:

We examined guideline-concordant initial systemic treatment among women with metastatic breast cancer, its predictors, and if guideline-concordant treatment was associated with mortality, healthcare utilization and Medicare expenditures.

Methods:

This retrospective observational cohort study was conducted using the Surveillance, Epidemiology, End Results-Medicare linked database. Women aged 66–90 years diagnosed with metastatic breast cancer during 2010–2013 (N=1,282) were included. The National Comprehensive Cancer Network treatment guidelines were used to determine the guideline-concordant initial systemic treatment following cancer diagnosis. A logistic regression analysis was conducted to examine significant predictors of guideline-concordant treatment. Generalized linear regressions were used to examine the association between guideline-concordant treatment and healthcare utilization and average monthly Medicare expenditures.

Results:

About 74% of the study cohort received guideline-concordant initial systemic treatment. Women who received guideline-concordant treatment were significantly more likely to be comparatively younger (p<0.05), were married/partnered (p=0.0038), had HER2 positive tumors, and had good performance status. Adjusted hazards ratios for all-cause (2.364, p<0.0001) and breast-cancer specific mortality (2.179, p<0.0001) were higher for women who did not receive guideline-concordant treatment. Rates of healthcare utilization were also higher for women not receiving guideline-concordant treatment. Average monthly Medicare expenditures were 100.4% higher (95% confidence interval: $77.3%−126.5%) for women who did not receive guideline-concordant treatment compared to those who received guideline-concordant treatment (p<0.0001).

Conclusion:

One fourth of the study cohort did not receive guideline-concordant initial systemic treatment. Guideline-concordant initial treatment was associated with reduced mortality, and lower healthcare utilization and Medicare expenditures in women with metastatic breast cancer.

Keywords: Guideline-Concordant Initial Treatment, Metastatic Breast Cancer, Survival, Medicare expenditures, Predictors

INTRODUCTION

Development of evidence-based National Comprehensive Cancer Network (NCCN) guidelines has optimized cancer care and is being used as a marker for high quality care.1 Despite the establishment of treatment guidelines, not all patients receive guideline-concordant cancer care. Vulnerable patient subgroups such as racial/ethnic minorities, socioeconomically disadvantaged individuals, and older adults are less likely to receive guideline-concordant cancer care.25 Identifying disparities in adherence to treatment guidelines and its effect on cancer outcomes is essential in understanding why certain patient subgroups do not receive recommended care and may die prematurely. In addition to poorer clinical outcomes, receipt of non-guideline concordant cancer care can also contribute to higher cancer care expenditures.6,7 Several payers are implementing programs that limit the reimbursement for non-guideline-based care in order to control expenditures and minimize treatment variability.8

In the United States, survival rates of breast cancer (BC) have improved significantly over the past few years,9 however the risk of mortality is 46% higher in untreated patients compared to those treated with chemotherapy.10 Data about guideline-concordant care and its impacts on outcomes among patients with metastatic BC (MBC) are limited. The treatment of patients with MBC is complex due to multiple guideline-concordant regimens recommended per the NCCN guidelines per tumor status. One study found that 19% of older women diagnosed with de novo MBC during 2007–2013 did not receive guideline-concordant treatment. In addition, non-guideline-concordant treatment was significantly associated with higher Medicare expenditures, and also higher healthcare utilization and a slightly improved survival but the associations were not significant.7 However, data about human epidermal growth factor receptor 2 (HER2) status was not available in the SEER prior to 2010, and women in the study with unknown HER2 status who received specific treatments for HER2+ or HER2- disease were assumed to be guideline-concordant. Another study that used SEER data for cases diagnosed during 2007–2013 found that 18% of women with MBC did not receive guideline-concordant treatment and also found that non-concordance to cancer treatment was associated with increased costs to Medicare and increased healthcare utilization.11 However, this study included older women with secondary metastases only. Additionally, the association between non-guideline-concordant treatment and hospice use was not evaluated in either of these studies. Yet another study that used SEER data from 2010–2011 found that 23% of older women with de novo MBC did not receive initial systemic treatment, half of the cases with triple-negative MBC did not receive initial systemic therapy, while 18% with hormone receptor (HR) positive disease did not receive an initial endocrine therapy.12 Additionally, a higher proportion of the patient population who did not receive systemic cancer treatment utilized more healthcare services including hospitalizations and hospice use, and died earlier than those who received systemic therapy. Furthermore, in one of prior studies using the SEER-Medicare data, we examined disparities and magnitude of disparities in guideline-concordant treatment specifically among women with HER2-positive MBC and found that about 23% did not receive guideline-concordant initial systemic treatment and disparities existed by HR status of the tumor.13 The former three studies accounted for age and comorbidities, which are strong confounders to address when assessing the impact of guideline-concordant treatment on outcomes. However, performance status was not captured, which is an important factor associated with both guideline-concordant cancer treatment, especially for advanced cancer,14 and health outcomes. Additionally, aspects of healthcare access such as availability of oncology hospitals in the area of patient’s residence, were not accounted for in the previously published studies. The literature suggests that area-level availability of healthcare resources can play a significant role in improving breast cancer outcomes by increasing the likelihood of women’s receipt of cancer treatment.15,16 It is likely that lower availability of healthcare access in terms of oncology hospitals may adversely affect outcomes especially for the patients with metastatic disease.

Women age 65 and older experience substantial BC burden and are also undertreated frequently.7,17 Hence, it is critical to examine how guideline-concordant treatment in older women with MBC impacts their outcomes. Considering all these factors, the objective of this study was to evaluate the impact of guideline-concordant treatment in older patients with de novo MBC on survival, Medicare expenditures, and healthcare utilization, within a multivariable framework.

METHODS

Study Design and Data Source

We conducted a longitudinal retrospective cohort study using the SEER-Medicare linked dataset.18 Using the state and county level information, we linked the Area Resource File to the SEER-Medicare dataset to obtain census track data on income, education, and hospitals offering oncology services.19

Study Cohort

We included women aged 66–90 years at the diagnosis of the first pathologically confirmed de novo MBC (SEER site recode 46, AJCC stages IV, IVNOS, IVA, IVB, IVC)20 during 2010–2013 and who were enrolled in the Medicare fee-for-service program. We excluded women who were not continuously enrolled in Medicare parts A and B during the 12 months prior to the date of cancer diagnosis through at least six months following the date of cancer diagnosis, end of enrollment, or death, or were diagnosed with a death certificate or autopsy.

Measures

Key Independent Variable: Guideline-Concordant Treatment

We used the National Comprehensive Cancer Network (NCCN) guidelines to determine concordance with initial treatment according to HER2 and HR status, received within six months of cancer diagnosis. As data from women diagnosed during 2010–2013 were included, we used all the versions of the NCCN guidelines published during this period to determine recommended treatment strategies for each particular year.2124 If a woman received the initial treatment listed on the NCCN guidelines (Supplemental Table 1), then she was considered to have received guideline-concordant treatment. We identified endocrine therapies, infused or oral chemotherapies, and the HER2-targeted therapies using the J-codes and the National Drug Codes (NDC) from the Medicare claims files. We categorized the key independent variable as guideline-concordant treatment and non-guideline-concordant treatment.

Survival

We assessed survival time in days from the date of cancer diagnosis until death, end of Medicare enrollment, or end of study period (i.e. December 31, 2014), whichever occurred first. To assess breast-cancer specific survival, women with MBC who were alive until the end of either Medicare enrollment, end of the study period, or who died from causes other than BC, were censored at that time and were considered alive.

Healthcare utilization

We examined inpatient visits, emergency department visits, and hospice care, derived from Medicare claims files. To account for differences in follow-up time, we used a log of follow-up years as an offset in the multivariable regressions of healthcare utilization.

Medicare Expenditures

We used the Medicare claims files including inpatient, hospital outpatient, carrier, and durable medical equipment files, to calculate direct all-cause Medicare expenditures. Expenditures were defined as the amounts reimbursed by Medicare to the providers. Expenditures were summed over the follow-up period and an average per month expenditure was calculated based on patient’s follow-up months. Expenditures were adjusted to 2019 US dollars to account for differences in currency valuation over time.25

Explanatory Variables

We controlled for patient factors including age at cancer diagnosis, year of cancer diagnosis, race, marital status, census tract median household income, and percentage of people age ≥25 years with at least four years of college education. We also controlled for the following clinical characteristics: HR status, HER2 status, tumor grade, comorbidity scores2628 derived from co-occurring chronic conditions within 12 months before BC diagnosis, performance status proxies,29 and the number of sites with cancer metastasis. Based on HR status and HER2 status, we determined tumor status and categorized women as HER2+/HR+, HER2+/HR-, HER2-/HR+, and HER2-/HR-. The SEER file provides information on location of metastasis to lung, liver, brain, and bone, which was used to identify the number of sites with cancer metastasis. Additionally, for modeling predictors of guideline-concordant treatment and the association between guideline-concordant treatment and survival, we controlled for healthcare use which comprised of medical oncology office visits during the follow-up period.30 Furthermore, we controlled for location of residence, SEER region, and census level data on number of hospitals offering oncology services.

Statistical Analyses

We described the study cohort using descriptive statistics and used Chi-square tests to determine the significant differences between women who received guideline-concordant treatment vs. those who did not receive guideline-concordant treatment. The proportion of the study cohort which received guideline-concordant care was determined and a multivariable logistic regression was used to identify its significant predictors while controlling for all explanatory variables described above. We then conducted separate multivariable Cox proportional hazards models to examine all-cause and breast cancer-specific mortality by guideline concordance to the cancer treatment. To evaluate the proportional hazards assumption, we plotted the Schoenfeld residuals against time and found no indication of a systematic deviation from proportional hazards. We examined the associations between each component of healthcare utilization and guideline-concordant treatment using multivariable Poisson regressions. We determined corresponding adjusted incidence rate ratios (AIRR) comparing non-guideline-concordant treatment and guideline-concordant treatment. For each Poisson regression, we used a log of follow-up years as an offset to control for differences in follow-up time. Additionally, we used a generalized linear model with log link function and gamma distribution to examine the association between guideline-concordant treatment and average monthly Medicare expenditures, controlling for significant covariates. From the regression, we exponentiated the regression estimates (betas) to obtain the percentage higher or lower monthly Medicare expenditures.

All analyses were two-sided and conducted at 0.05 significance level, using SAS version 9.4 (SAS Institute Inc., Cary, NC). The study was considered exempt from the human subjects research by the University of Rhode Island Institutional Review Board.

RESULTS

Descriptive Characteristics

A total of 1,282 older women diagnosed with de novo MBC during 2010–2013 with a median follow-up of 17 months, were included in the study. Most of the cohort was in the age group >75 years (55.6%), white (85.1%), resided in metro areas (83.5%), single, divorced, or widowed (70.8%), had HER2-/HR+ tumor (67.8%), good performance status (73.5%), and at least one comorbidity (60.3%) (Table 1).

Table 1.

Description of Medicare FFS Beneficiaries with Metastatic Breast Cancer By Receipt of Guideline-Concordant Initial Treatment SEER-Medicare 2010–2013 Cases

Total cohort Guideline-concordant Treatment Non Guideline-Concordant Treatment p-value

Variables N = 1,282 % n = 951 (74.2%) % n = 331 (25.8%) %

Age at Diagnosis <0.0001
  66–69 242 18.8% 204 84.3% 38 15.7%
  70–74 324 25.3% 250 77.2% 74 22.8%
  75–79 281 21.9% 209 74.4% 72 25.6%
  80,+ 435 33.9% 288 66.2% 147 33.8%
Race/Ethnicity 0.630
  Whites 1091 85.1% 812 74.4% 279 25.8%
  Other 191 14.9% 139 72.7% 52 27.2%
Marital Status <0.0001
  Married/Partnered 375 29.3% 306 81.6% 69 18.4%
  Single/Divorced/Widowed 907 70.7% 645 71.1% 262 28.9%
Location of Residence 0.032
  Metro 1071 83.5% 782 73.0% 289 27.0%
  Non-metro 211 16.5% 169 80.1% 42 19.9%
SEER Region 0.119
  North East 317 24.7% 226 71.3% 91 28.7%
  South 334 26.1% 254 76.1% 80 23.9%
  North Central 190 14.8% 132 69.5% 58 30.5%
  West 441 34.4% 339 76.9% 102 23.3%
Census Tract Household Income 0.813
  LE $50,000 428 33.4% 322 75.2% 106 24.8%
  $50,001-$75,000 576 44.9% 423 73.4% 153 26.6%
  GT $75,000 278 21.7% 206 74.1% 72 25.9%
Census Tract Education 0.694
  LE 21.5 317 24.7% 240 75.7% 77 24.3%
  21.6–30.2 315 24.6% 227 72.1% 88 27.9%
  30.3–36.1 317 24.7% 233 73.5% 84 26.5%
  GT 36.1 333 26.0% 251 75.4% 82 24.6%
Tumor Status <0.0001
  HER2+/HR+ 154 12.0% 126 81.8% 28 18.2%
  HER2+/HR- 80 6.2% 58 72.5% 22 27.5%
  HER2-/HR+ 869 67.8% 677 77.9% 192 22.1%
  HER2-/HR- 179 14.0% 90 50.3% 89 49.7%
Grade of Tumor 0.042
  Well/Moderately differentiated 539 42.0% 417 77.4% 122 22.6%
  Poorly/Un-differentiated 470 36.7% 331 70.4% 139 29.6%
  Unknown 273 21.3% 203 74.4% 70 25.6%
Number of Metastatic Sites§ 0.829
  0–1 912 71.1% 675 74.0% 44 26.0%
  2–4 370 28.9% 276 74.6% 12 25.4%
Performance Status 0.0008
  Good 942 73.5% 722 76.7% 220 23.3%
  Poor 340 26.5% 229 67.4% 111 32.6%
Comorbidity 0.047
  0 509 39.7% 390 76.6% 119 23.4%
  1 288 22.5% 220 76.4% 68 23.6%
  2,+ 485 37.8% 341 70.3% 144 29.7%
Oncology Visits <0.0001
  0–8 420 32.8% 245 58.3% 175 41.7%
  9–30 422 32.9% 311 73.7% 111 26.3%
  31,+ 440 34.3% 395 89.8% 45 10.2%
Hospitals Offering Oncology Services 0.337
  0–1 448 35.0% 343 76.6% 105 23.4%
  2–5 486 37.9% 352 72.4% 134 27.6%
  6,+ 348 27.2% 256 73.6% 92 26.4%
Year of Cancer Diagnosis 0.024
  2010 264 20.6% 189 71.6% 75 28.4%
  2011 299 23.3% 214 71.6% 85 28.4%
  2012 344 26.8% 248 72.1% 96 27.9%
  2013 375 29.3% 300 80.0% 75 20.0%

HER2: Human Epidermal Growth Factor Receptor 2; HR: Hormone Receptor; AOR: Adjusted Odds Ratio; CI: Confidence Interval; FFS: Fee-for-service; LE: Less than; GT: Greater than

Seventy-four percent of women received guideline-concordant initial systemic treatment within six months of cancer diagnosis as per the NCCN treatment guidelines, while 25.8% did not receive guideline-concordant initial systemic treatment. Women receiving guideline-concordant treatment were significantly more likely to be comparatively younger, married/partnered, resided in non-metro areas, and had good performance status. In addition, women receiving guideline-concordant treatment were less likely to have triple negative tumors or HER2+/HR- tumors than those with HER2+/HR+ tumors. Furthermore, women who were diagnosed with MBC in 2013 were significantly more likely to receive guideline-concordant treatment than those diagnosed during 2010–2012. Among women with MBC who did not receive guideline-concordant initial systemic treatment, 96% had no Medicare claim for recommended treatment regimen per the tumor status within the six months of cancer diagnosis, while four percent received non-recommended initial regimens. This four percent of patients with triple negative tumors received endocrine therapy as an initial therapy while the NCCN guidelines recommend using chemotherapy as an initial therapy.

Predictors of Guideline-Concordant Initial Treatment

Women aged 70 years and older were significantly less likely to receive guideline-concordant initial systemic treatment compared to those aged 66–69 years (p<0.05) (Table 2). The adjusted odds ratios (AOR) were 0.594, 0.549, and 0.467 for women in the age groups 70–74, 75–79, and 80 years and above, respectively. Compared to women with HER2+/HR+ tumors, those with HER2+/HR- and HER2-/HR- tumors were significantly less likely to receive guideline-concordant treatment (AOR=0.501, p =0.0499 for HER2+/HR- tumors and AOR=0.192, p <0.0001 for HER2-/HR- tumors). Women living in non-metro areas (AOR=1.498, 95% confidence interval (CI)=1.004–2.235) and who were married or partnered (AOR=1.632, 95% CI=1.172–2.272) were significantly more likely to receive guideline-concordant treatment. Additionally, women with good performance status were 37% more likely to receive guideline-concordant treatment than women with poor performance status (AOR=1.367, 95% CI=1.013–1.844).

Table 2.

Adjusted Odds Ratios of Receiving Guideline-Concordant Initial Treatment Among Medicare FFS Beneficiaries with Metastatic Breast Cancer SEER-Medicare 2010–2013 Cases

Variables Guideline-Concordant Treatment

AOR 95% CI p-value

Age at Diagnosis
  66–69 Reference
  70–74 0.594 [0.372, 0.947] 0.0285
  75–79 0.549 [0.342, 0.879] 0.0126
  80,+ 0.467 [0.303, 0.720] 0.0006
Race/Ethnicity
  White Reference
  Other 1.426 [0.960, 2.116] 0.0786
Location of Residence
  Metro Reference
  Non-metro 1.498 [1.004, 2.235] 0.0477
Marital Status
  Married/Partnered 1.632 [1.172, 2.272] 0.0038
  Single/Divorced/Widowed Reference
Tumor Status
  HER2+/HR+ Reference
  HER2+/HR- 0.501 [0.260, 1.000] 0.0499
  HER2-/HR+ 0.769 [0.494, 1.255] 0.3179
  HER2-/HR- 0.192 [0.111, 0.330] <0.0001
Performance Status
  Good 1.367 [1.013, 1.844] 0.0410
  Poor Reference
Oncology Visits
  0–8 Reference
  9–30 1.930 [1.420, 2.623] <0.0001
  31,+ 6.173 [4.202, 9.072] <0.0001

HER2: Human Epidermal Growth Factor Receptor 2; HR: Hormone Receptor; AOR: Adjusted Odds Ratio; CI: Confidence Interval; FFS: Fee-for-service

All-Cause and Breast Cancer-Specific Mortality

In the adjusted Cox proportional hazards model, women who did not receive guideline-concordant treatment had significantly higher hazards of dying from any cause (adjusted hazards ratio (AHR)=2.364, 95% CI=2.021–2.766, p<0.0001) (Table 3). Similarly, the hazards of dying from breast cancer were higher (AHR=2.179, 95% CI=1.824–2.603, p<0.0001) for women who did not receive guideline-concordant treatment compared to those who received guideline-concordant treatment.

Table 3.

Adjusted Hazards Ratios* for All-Cause and Breast-Cancer Specific Mortality Among Medicare FFS Beneficiaries with Metastatic Breast Cancer SEER-Medicare 2010–2013 Cases

Non Guideline-Concordant Initial Treatment

AHR 95% CI p-value

All-Cause Mortality
  Guideline-Concordant
  Initial Treatment Reference
  Non-Guideline Concordant
  Initial Treatment 2.364 [2.021, 2.766] <0.0001
Breast Cancer-Specific Mortality
  Guideline-Concordant
  Initial Treatment Reference
  Non-Guideline Concordant
  Initial Treatment 2.179 [1.824, 2.603] <0.0001
*

Adjusted for age at cancer diagnosis, race/ethnicity, marital status, census level household annual income and education level, location of residence, grade of tumor, comorbidity, performance status, tumor status, number of sites with metastasis, number of hospitals offering oncology services in area of patient’s residence, number of oncology visits

AHR: Adjusted Hazards Ratio, CI: Confidence Interval

Healthcare Utilization and Medicare Expenditures

After controlling for all the covariates, women who did not receive guideline-concordant care had approximately 50% higher rate for both inpatient and emergency room visits compared to women who received guideline-concordant care (AIRR=1.506, 95% CI=1.377–1.648, p<0.0001 for inpatient visits, and AIRR=1.502, 95% CI=1.369–1.647, p<0.0001 for emergency room visits) (Table 4). Additionally, the odds of hospice use were significantly higher for women with non-guideline-concordant care compared to women who received guideline-concordant care (AOR=6.238, 95% CI=4.528–8.591, p<0.0001)

Table 4.

Healthcare Resource Utilization and Medicare Expenditures Among Medicare FFS Beneficiaries with Metastatic Breast Cancer Without Guideline-Concordant Initial Treatment SEER-Medicare 2010–2013 Cases

Non Guideline-Concordant Initial Treatment*

Any Healthcare Utilization* AOR 95% CI p-value

Any Inpatient Use 6.024 [3.936, 9.270] <0.0001
Any Emergency Room Visit 4.335 [2.884, 6.516] <0.0001
Any Hospice Use 6.238 [4.528, 8.591] <0.0001

Healthcare Utilization* AIRR 95% CI p-value

Number of Inpatient Visits 1.506 [1.377, 1.648] <0.0001
Number of Emergency Room Visits 1.502 [1.369, 1.647] <0.0001

Average Monthly Medicare Expenditures** Adjusted Beta-Coefficients 95% CI % Higher Expenditures

Intercept 8.7319§ [8.5284, 8.9353]
Non Guideline-Concordant Initial Treatment 0.6953*** [0.5728, 0.8177] 100.4%
*

As compared with guideline-concordant initial treatment; adjusted for age at cancer diagnosis, race/ethnicity, marital status, census level annual household income and education, location of residence, SEER region, grade of tumor, comorbidity, performance status, tumor status, number of sites with metastasis, number of hospitals offering oncology services in the area of patient’s residence

**

Adjusted for variables that were significant in the backward selection: census level household annual income (reference=”greater than $75,000”) and education level (reference=”Greater than 36.1”), SEER region (reference=”Northeast”), comorbidity (reference=”0”), tumor status (reference=”HER2-/HR+”), number of sites with metastasis (reference=”2–4”), number of hospitals offering oncology services in area of patient’s residence (reference=0–1”)

§

The beta coefficient represent the mean estimate with other covariates fixed at their reference categories listed above.

***

p<0.0001

AOR: Adjusted Odds Ratio, AIRR: Adjusted Incidence Rate Ratio; CI: Confidence Interval

In a multivariable generalized linear regression, adjusted average monthly overall Medicare expenditures for women who did not receive guideline-concordant treatment were significantly higher by 100.4% (95% CI=77.3%−126.5%, p<0.0001) compared to those who received guideline-concordant treatment.

DISCUSSION

Several new anticancer therapies that prolong survival of patients with cancer have been developed in recent past years. However, not all patients with cancer receive initial cancer therapies or any initial cancer treatment recommended by the clinical guidelines. We examined a population-based sample of older women diagnosed with de novo MBC during 2010–2013 from the SEER-Medicare database, controlled for a comprehensive list of confounders including performance status and availability of hospitals offering oncology services, and found that one in four women did not receive initial systemic therapy as per the recommended NCCN treatment guidelines. This finding is similar to that reported in a previous study,12 but marginally lower than that reported in another study.7 This inconsistency between studies may be due to the difference in the timeframe within which guideline-concordant initial treatment was measured. We examined the initial systemic therapy utilized within the six months of cancer diagnosis similar to the approach adopted by Poorvu et al., while the later study did not use a specific timeframe within which treatments were assessed. In our study, about 50% of women with triple negative tumor subtype MBC and one-fourth of all women with MBC did not receive initial systemic treatment as per the NCCN guidelines, with a majority not receiving any initial treatment within the six months of cancer diagnosis thereby highlighting opportunities for improving initial cancer care in this vulnerable group.

Among older women with MBC, increasing age was associated with a lack of receipt of guideline-concordant initial systemic treatment, a finding consistent with what is previously reported.12 Advanced cancer therapies including targeted therapy and chemotherapy can cause significant toxicities, particularly among older women.31 Additionally, patients may choose to forego cancer treatment due to several factors including their older age and patient preferences. However, information on patient preferences was not available in the SEER-Medicare database and therefore they were not assessed. Guideline-concordant treatment is an important metric to assess quality care but given the incurable nature of MBC, it is critical to engage patients in their cancer care decisions and hence examine patient needs, values, and preferences as sources of disparate care in this population. Very few studies have examined patients’ role in shared decision making for managing advanced and metastatic cancers. One study focused on understanding the expectations and priorities for symptom management of patients with MBC,32 while the other study examined the needs and concerns of patients with MBC at disease diagnosis and treatment change.33 Further research is warranted to examine how patient-centered care that emphasize patient perspectives and preferences, impact guideline-concordant treatment for MBC.

Consistent with published literature,12,34 we found that women with breast cancer who were married or partnered were more likely to receive initial cancer treatment, suggesting that availability of social support can facilitate receipt of guideline-concordant treatment. Women with poor performance status were less likely to receive guideline-concordant treatment and this suggests that physicians may provide less aggressive cancer treatments or patients may prefer to not receive aggressive cancer treatments (e.g. chemotherapy) owing to their poor performance status. Moreover, women with triple negative or HER2+/HR- MBC were significantly less likely to receive guideline-concordant treatment compared to those with HER2+/HR+ tumors, which highlighted an area of improvement in breast cancer care. Triple negative tumors have been managed using conventional cytotoxic chemotherapy which causes substantial side effects.35,36 Due to unavailability of effective cancer therapies with lower toxicity levels for triple negative tumors, women with such tumor subtype may be less prone to choosing to receive guideline-concordant initial therapy. Also, older patients with triple negative tumors who have poor performance status may have difficulty tolerating the conventional cytotoxic chemotherapies thereby contributing to lower adherence to the treatment guidelines as risk-benefit ratio may be difficult to balance. Additionally, women with triple negative or HER2+/HR- tumors have shorter survival with limited benefit from cancer therapy37 compared to those with HER2+/HR+ tumors, and hence physicians may be less likely to deliver guideline-concordant treatment. For women with HR+ tumors, endocrine therapy is the preferred first-line therapy, which has comparatively lower toxicity, therefore such patients are relatively more likely to receive that guideline-concordant initial treatment. We also found that women who had higher medical oncology office visits were more likely to receive guideline-concordant initial systemic therapy, a finding consistent with that found in the literature. A prior study has shown that women with MBC who have more frequent oncology office visits are likely to receive intensive chemotherapies.38 Additionally, even though year of cancer diagnosis was a significant predictor of guideline-concordant treatment in the unadjusted regression, we found that it became non-significant in the multivariable analyses.

This is one of the very few studies that have examined the association between guideline-concordant initial treatment and clinical and economic outcomes in women with de novo MBC. Women who received guideline-concordant initial treatment had significantly longer all-cause and breast cancer-specific survival compared to those who did not receive guideline-concordant treatment. This finding only reveals an association. It is possible that improved survival would have been observed with a higher use of guideline-concordant treatment among patients who were older and had more advanced disease. However, the association we observed merely indicates that patients with poorer clinical status were both more likely to die during the study period and to less frequently receive guideline-concordant treatment, which may have been due to patient choice. Future studies using experimental designs that can access patient preferences, severity of comorbidities, and patient’s life expectancy, all of which impact receipt of cancer treatment and mortality in patients with MBC, are warranted. One previous US-based study found some survival benefit (15% lower risk of death) for women who received guideline-concordant care, however, the findings were not statistically significant.7 This inconsistency in the study findings may be partly because this study examined initial systemic therapy within the six months of cancer diagnosis and also due to non-inclusion of several covariates including performance status, number of sites of metastasis, and availability of oncology hospital services in the area of patient’s residence, in the regression analyses.

Healthcare resource utilization including inpatient visits, emergency room visits, hospice use, and expenditures to Medicare were significantly higher for women who received non-guideline-concordant initial treatment compared to women who received guideline-concordant treatment. Our findings are partly coherent with other findings reported in the literature for MBC7,12 and also for early stage breast cancer39 or other cancer types.40 For instance, Poorvu et al. found that inpatient visits were lower among patients who received initial systemic therapy compared to those who did not receive initial systemic therapy.12 While Rocque et al. found that inpatient visits and emergency room visits were higher among patients who received non-guideline-concordant treatment than those who received guideline concordant treatment, but the differences were not significant.7 Additionally, our finding about higher expenditures for non-guideline concordant group is similar to that reported earlier.7 The odds of hospice use were significantly higher for patients who did not receive guideline-concordant treatment compared to those who received guideline-concordant treatment, thereby indicating increased use of palliative care in patients not receiving guideline-concordant treatment. This finding is consistent with other studies, as women with triple negative and HER2+/HR- tumors37,41 and those who are relatively older,41 are associated with higher hazards of death.

This study provides insights about the impacts of disparate cancer care in women with de novo MBC, but there are few limitations to note. There is no information about severity of comorbidities which may impact cancer treatment selection, however, we controlled for performance status using a claims-based algorithm in the analyses. Additionally, we assessed all-cause healthcare utilization and Medicare expenditures and did not differentiate utilization and expenditures associated with cancer and specific comorbidities. Important information on physician and patient preferences that may impact guideline-concordant treatment is not captured within the database, and hence was not controlled in the analyses. Some patient-level covariates such as annual household income, education level, and access to hospitals offering oncology services are not available in the SEER-Medicare database and hence census tract level information was used.42 Additionally, the Medicare claims may not capture all the systemic therapies received by the enrollees. This is true for women who may have received treatment due to their enrollment in clinical trials. We examined receipt of initial systemic treatment only, and not the subsequent treatments which may affect patient survival and use of healthcare services. Furthermore, our study findings may not completely reflect the breast cancer treatment patterns in 2020, as several drugs have been approved after 2013 for MBC. Due to the approvals of several newer cancer therapies including HER2-targeted drug like tucatinib, programmed death receptor-1 (PD-1) or its ligand PD-L1 inhibitors like atezolizumab for triple-negative MBC, and the CDK4/6 kinase inhibitors such as palbociclib, ribociclib, and abemaciclib for HR positive cases, the proportion of women receiving guideline-concordant care may be higher in the current population. Additionally, treatment-related expenditures would likely be higher due to the increased cost of newer regimens. We did not adjust for the expected increase in healthcare utilization and Medicare expenditures at the end of life for patients who died during the follow-up period. However, we examined the Medicare costs for the last month of life for patients who died. The average Medicare costs in the last month of life for patients who received guideline-concordant treatment and those who did not receive guideline-concordant treatment were not statistically different, and the average amount was only marginally higher than that reported for the overall guideline-concordant cohort. Lastly, this study included older patients enrolled in Medicare fee-for-service program and therefore these findings are not generalized to younger women and those enrolled in commercial insurance plans.

CONCLUSION

One-fourth of older women with de novo MBC did not receive guideline-concordant initial systemic treatment, especially among those with triple negative tumors. All-cause and breast cancer-specific mortality, healthcare utilization, and Medicare expenditures were higher for women who did not receive guideline-concordant initial cancer care.

Supplementary Material

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Acknowledgements:

This study was partly funded by the Rhode Island Foundation Medical Research Funds received by Dr. Vyas. Dr. Kogut and Dr. Vyas are partially supported by Institutional Development award # U54GM115677 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds Advance Clinical and Translational Research (Advance-CTR). Dr. Kogut is also partially supported by Institutional Development Award # P20GM125507 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds the Rhode Island Lifespan Center of Biomedical Research Excellence (COBRE) on Opioids and Overdose. The content is solely the responsibility of the authors and does not necessarily represent the official views of NIGMS or the Rhode Island Foundation.

Footnotes

Disclosures: No conflict of interests or disclosures.

Ethical Approval: The study was conducted using a secondary database and hence was considered exempt from the human subjects research by the University of Rhode Island Institutional Review Board.

Informed Consent: This study did not require patient consent.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

REFERENCES

  • 1.National Comprehensive Cancer Network. Development and Update of the NCCN Guidelines. NCCN, PA. Available at https://www.nccn.org/professionals/development.aspx Accessed November 1, 2020.
  • 2.Vaz-Luis I, Lin NU, Keating NL, et al. Racial differences in outcomes for patients with metastatic breast cancer by disease subtype. Breast Cancer Res Treat 2015;151(3):697–707. [DOI] [PubMed] [Google Scholar]
  • 3.LeMasters TJ, Madhavan SS, Sambamoorthi U, Vyas AM. Disparities in the Initial Local Treatment of Older Women with Early-Stage Breast Cancer: A Population-Based Study. Journal of Women’s Health 2017;26(7):735–744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.LeMasters T, Madhavan SS, Sambamoorthi U, Hazard-Jenkins HW, Kelly KM, Long D. Receipt of Guideline-Concordant Care Among Older Women With Stage I-III Breast Cancer: A Population-Based Study. Journal of the National Comprehensive Cancer Network 2018;16(6):703–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lautner M, Lin H, Shen Y, Parker C, Kuerer H, Shaitelman S, Babiera G, Bedrosian I. Disparities in the Use of Breast-Conserving Therapy Among Patients With Early-Stage Breast Cancer. JAMA surgery 2015;150(8):778–786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Meyer N, Hao Y, Song X, Shi N, Johnson W, Willemann Rogerio J, Yardley DA. Healthcare Resource Use and Expenditures among Metastatic Breast Cancer Patients Treated with HER2-Targeted Agents. International Journal of Breast Cancer 2014;2014:1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rocque GB, Williams CP, Jackson BE, et al. Impact of nonconcordance with NCCN guidelines on resource utilization, expenditures, and mortality in de novo metastatic breast cancer. Journal of the National Comprehensive Cancer Network 2018;16(9):1084–1091. [DOI] [PubMed] [Google Scholar]
  • 8.Zon RT, Frame JN, Neuss MN, Page RD, Wollins DS, Stranne S, Bosserman LD. American Society of Clinical Oncology Policy Statement on Clinical Pathways in Oncology. Journal of Oncology Practice 2016;12(3):261–266. [DOI] [PubMed] [Google Scholar]
  • 9.Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Kosary CL, Yu M, Ruhl J, Tatalovich Z, Mariotto A, Lewis DR, Chen HS, Feuer EJ, Cronin KA (eds). SEER cancer statistics review, 1975–2016, National Cancer Institute. Bethesda, MD. Updated April 2019. Available at: http://seer.cancer.gov/csr/1975_2016/. Accessed November 1, 2020. [Google Scholar]
  • 10.Satram-Hoang S, Bajaj P, Stein A, Cortazar P, Momin F, Reyes C. Treatment patterns and mortality risk among elderly women with metastatic triple negative breast cancer in the United States: An observational cohort study using SEER-Medicare data. Journal of Cancer Therapy 2019;10:117–133. [Google Scholar]
  • 11.Rocque GB, Williams CP, Kenzik KM, Jackson BE, Azuero A, Halilova KI, Ingram SA, Pisu M, Forero A, Bhatia S. Concordance with NCCN treatment guidelines: relations with healthcare utilization, cost, and mortality in breast cancer patients with secondary metastasis. Cancer 2018;124:4231–4240. [DOI] [PubMed] [Google Scholar]
  • 12.Poorvu PD, Vaz-Luis I, Freedman RA, Lin NU, Barry WT, Winer EP, Hassett MJ. Variation in guideline-concordant care for elderly patients with metastatic breast cancer in the United States. Breast Cancer Res Treat 2018;168:727–737. [DOI] [PubMed] [Google Scholar]
  • 13.Vyas AM, Aroke H, Kogut S. Guideline-concordant treatment among elderly women with HER2-positive metastatic breast cancer in the United States. Journal of the National Comprehensive Cancer Network 2020;18(4):405–413. [DOI] [PubMed] [Google Scholar]
  • 14.Karnofsky DA, Burchernal JH. The clinical evaluation of chemotherapeutic agents in cancer. In: MacLeod CM, editor Evaluation of chemotherapeutic agents. Columbia University Press, 1949;191–205. [Google Scholar]
  • 15.Roseland ME, Pressler ME, Lamerato LE, et al. Racial differences in breast cancer survival in a large urban integrated health system. Cancer 2015;121(20):3668–3675. [DOI] [PubMed] [Google Scholar]
  • 16.Akinyemiju TF, Soliman AS, Johnson NJ, et al. Individual and neighbourhood socioeconomic status and healthcare resources in relation to black-white breast cancer survival disparities. Journal of Cancer Epidemiology 2013;2013:490472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Schonberg MA, Marcantonio ER, Li D, Silliman RA, Ngo L, McCarthy EP. Breast cancer among the oldest old: tumor characteristics, treatment choices, and survival. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology. 2010;28(12):2038–2045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Warren JL, Klabunde CN, Schrag D, et al. Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population. Med Care 2002;40(8 Suppl):IV-3–18. [DOI] [PubMed] [Google Scholar]
  • 19.U.S. Health Resources and Services Administration. Bureau of Health Professions. Area Resource File, 2009–2010 Release. Rockville, MD: US Department of Health and Human Services; Fairfax, VA: Quality Resource Systems, Inc; 2010. Codebook: HE-001; (2010). Available at: https://data.hrsa.gov/topics/health-workforce/ahrf/ Accessed November 1, 2020. [Google Scholar]
  • 20.Greene FL, Page DL, Fleming ID, Fritz AG, Balch CM, Haller DG, Marrow M, ed. American Joint Committee on Cancer, American Cancer Society 2002. AJCC cancer staging manual. Springer, New York. Sixth ed. New York: Springer; 2002; No. 2016. Available at: https://cancerstaging.org/referencestools/deskreferences/Documents/AJCC6thEdCancerStagingManualPart1.pdf Accessed November 1, 2020. [Google Scholar]
  • 21.Thariault RL, Carlson RW, Allred C, et al. Breast cancer, version 3.2013: featured updates to the NCCN guidelines. J Natl Compr Canc Netw 2013;11(7):753–760. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Carlson RW, Allred DC, Anderson BO, et al. Metastatic breast cancer, version 1.2012: featured updates to the NCCN guidelines. J Natl Compr Canc Netw 2012;10(7):821–829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Carlson RW, Allred DC, Anderson BO, et al. NCCN clinical practice guidelines in oncology: Breast cancer. Version 1.2010. Obtained from the NCCN in January 2018. Accessed at www.nccn.org [Google Scholar]
  • 24.Carlson RW, Allred C, Anderson BO, et al. NCCN clinical practice guidelines in oncology. Breast cancer. Version 1.2011, Obtained from the NCCN in January 2018. Accessed at www.nccn.org [Google Scholar]
  • 25.United States Department of Labor, Bureau of Labor Statistics. Consumer price index, medical care services, 1982–84. Available at https://www.bls.gov/cpi/ Accessed May 15, 2020.
  • 26.Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol 2000;53(12):1258–1267. [DOI] [PubMed] [Google Scholar]
  • 27.National Cancer Institute: SEER-Medicare: Selection the appropriate comorbidity SAS Macro. Available at: https://healthcaredelivery.cancer.gov/seermedicare/considerations/calculation.html. Accessed July 12, 2020.
  • 28.Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis 1987;40(5):373–383. [DOI] [PubMed] [Google Scholar]
  • 29.Onukwugha E, Qi R, Jayasekera J, Zhou S. Cost prediction using a survival grouping algorithm: An application to incident prostate cancer cases. Pharmacoeconomics 2016;34(2):207–216. [DOI] [PubMed] [Google Scholar]
  • 30.Accordino MK, Wright JD, Vasan S, et al. Use and expenditures of disease monitoring in women with metastatic breast cancer. J Clin Oncol 2016;34(24):2820–2826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Busch E, Kemeny M, Fremgen A, Osteen RT, Winchester DP, Clive RE. Patterns of breast cancer care in the elderly. Cancer 1996;78:101–111. [DOI] [PubMed] [Google Scholar]
  • 32.Tometich DB, Mosher CE, Hirsh AT, Rand KL, Johns SA, Matthias MS, et al. Metastatic breast cancer patients’ expectations and priorities for symptom management. Support Care Cancer 2018;36(11):3781–3788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Brufsky AM, Ormerod C, Dickson RB, Citron ML. Understanding the needs of patients with metastatic breast cancer: results of the Make Your Dialogue Count survey. Breast J 2017;23(1):17–25. [DOI] [PubMed] [Google Scholar]
  • 34.Osborne C, Ostir GV, Du X, Peek MK, Goodwin JS. The influence of marital status on the stage at diagnosis, treatment, and survival of older women with breast cancer. Breast Cancer Res Treat 2005;93(1):41–47. [DOI] [PubMed] [Google Scholar]
  • 35.Stover DG, Winer EP. Tailoring adjuvant chemotherapy regimens for patients with triple negative breast cancer. Breast 2015;24:S132–S135. [DOI] [PubMed] [Google Scholar]
  • 36.Palleschi M, Maltoni R, Sarti S, Melegari E, Bravaccini S, Rocca A. Immunotherapy: The end of the “dark age” for metastatic triple-negative breast cancer? Breast Journal 2019;Oct 14. doi: 10.1111/tbj.13662. [DOI] [PubMed] [Google Scholar]
  • 37.Lobbezzo DJA, van Kampen RJW, Voogd AC, et al. Prognosis of metastatic breast cancer subtypes: the hormone receptor/HER2-positive subtype is associated with the most favorable outcome. Breast Cancer Res Treat 2013;141:507–514. [DOI] [PubMed] [Google Scholar]
  • 38.Bonotto M, Basile D, Gerratana L, et al. Clinico-radiological monitoring strategies in patients with metastatic breast cancer: a real-world study. Future Oncology 2020;16(27):2059–2073. [DOI] [PubMed] [Google Scholar]
  • 39.Williams CP, Kenzik KM, Azuero A, et al. Impact of guideline-discordant treatment on cost and health care utilization in older adults with early-stage breast cancer. Oncologist 2019;24(1):31–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Urban RR, He H, Alfonso-Cristancho R, Hardesty MM, Goff BA. The cost of initial care for Medicare patients with advanced ovarian cancer. J Natl Compr Canc Netw 2016;14(4):429–437. [DOI] [PubMed] [Google Scholar]
  • 41.Howlader N, Cronin KA, Kurian AW, Andridge R. Differences in breast cancer survival by molecular subtypes in the United States. Cancer Epidemiol Biomarkers Prev 2018;27(6):619–626. [DOI] [PubMed] [Google Scholar]
  • 42.Krieger N. Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology. Am J Public Health 1992;82(5):703–710. [DOI] [PMC free article] [PubMed] [Google Scholar]

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