Michael J. Hassett

Adoption of Gene Expression Profile Testing and Association With Use of Chemotherapy Among Women With Breast Cancer

PURPOSE Gene expression profile (GEP) testing is a relatively new technology that offers the potential of personalized medicine to patients, yet little is known about its adoption into routine practice. One of the first commercially available GEP tests, a 21-gene profile, was developed to estimate the benefit of adjuvant chemotherapy for hormone receptor-positive breast cancer (HR-positive BC). PATIENTS AND METHODS By using a prospective registry data set outlining the routine care provided to women diagnosed from 2006 to 2008 with HR-positive BC at 17 comprehensive and community-based cancer centers, we assessed GEP test adoption and the association between testing and chemotherapy use. RESULTS Of 7,375 women, 20.4% had GEP testing and 50.2% received chemotherapy. Over time, testing increased (14.7% in 2006 to 27.5% in 2008; P < .01) and use of chemotherapy decreased (53.9% in 2006 to 47.0% in 2008; P < .01). Characteristics independently associated with lower odds of testing included African American versus white race (odds ratio [OR], 0.70; 95% CI, 0.54 to 0.92) and high school or less versus more than high school education (OR, 0.63; 95% CI, 0.52 to 0.76). Overall, testing was associated with lower odds of chemotherapy use (OR, 0.70; 95% CI, 0.62 to 0.80). Stratified analyses demonstrated that for small, node-negative cancers, testing was associated with higher odds of chemotherapy use (OR, 11.13; 95% CI, 5.39 to 22.99), whereas for node-positive and large node-negative cancers, testing was associated with lower odds of chemotherapy use (OR, 0.11; 95% CI, 0.07 to 0.17). CONCLUSION There has been a progressive increase in use of this GEP test and an associated shift in the characteristics of and overall reduction in the proportion of women with HR-positive BC receiving adjuvant chemotherapy.

Clinical Practice Patterns and Cost Effectiveness of Human Epidermal Growth Receptor 2 Testing Strategies in Breast Cancer Patients

Testing technologies are increasingly used to target cancer therapies. Human epidermal growth factor receptor 2 (HER2) testing to target trastuzumab for patients with breast cancer provides insights into the evidence needed for emerging testing technologies.

Regional Variation in Spending and Survival for Older Adults With Advanced Cancer

BACKGROUND Medicare spending varies substantially across the United States. We evaluated the association between mean regional spending and survival in advanced cancer. METHODS We identified 116 523 subjects with advanced cancer from 2002 to 2007, using Surveillance, Epidemiology and End Results (SEER)-Medicare linked data. Subjects were aged 65 years and older with non-small cell lung, colon, breast, prostate, or pancreas cancer. Of these subjects, 61 083 had incident advanced-stage cancer (incident cohort) and 98 935 had death from cancer (decedent cohort); 37% of subjects were included in both cohorts. Subjects were linked to one of 80 hospital referral regions within SEER areas. We estimated mean regional spending in both cohorts. We assessed the primary outcome, survival, in the incident cohort; the exposure measure was the quintile of regional spending in the decedent cohort. Survival in quintiles 2 through 5 was compared with that in quintile 1 (lowest spending quintile) using Cox regression models. RESULTS From quintile 1 to 5, mean regional spending increased by 32% and 41% in the incident and decedent cohorts (incident cohort:

Factors Influencing Changes in Employment Among Women With Newly Diagnosed Breast Cancer

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Selecting high priority quality measures for breast cancer quality improvement.

37 971; decedent cohort:

Acute Hospital Care Is The Chief Driver Of Regional Spending Variation In Medicare Patients With Advanced Cancer

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Validating Billing/Encounter Codes as Indicators of Lung, Colorectal, Breast, and Prostate Cancer Recurrence Using 2 Large Contemporary Cohorts

38 630). The association between spending and survival varied by cancer site and quintile; hazard ratios ranged from 0.92 (95% confidence interval [CI] = 0.82 to 1.04, pancreas cancer quintile 5) to 1.24 (95% CI = 1.11 to 1.39, breast cancer quintile 3). In most cases, differences in survival between quintile 1 and quintiles 2 through 5 were not statistically significant. CONCLUSION There is substantial regional variation in Medicare spending for advanced cancer, yet no consistent association between mean regional spending and survival.

Breast Biopsy Patterns and Outcomes in Surveillance, Epidemiology, and End Results-Medicare Data

Although studies have demonstrated that women are less likely to work after they are diagnosed with breast cancer, the influence of cancer treatments on employment is less clear. The authors of this report assessed whether chemotherapy or radiation therapy was associated with a disruption in employment during the year after a breast cancer diagnosis.

Breast biopsy patterns and outcomes in Surveillance, Epidemiology, and End Results—Medicare data Findings from this article were presented at the ASCO Breast Symposium, San Francisco, California, September 7-8, 2007.

Background:Although many quality measures have been created, there is no consensus regarding which are the most important. We sought to develop a simple, explicit strategy for prioritizing breast cancer quality measures based on their potential to highlight areas where quality improvement efforts could most impact a population. Methods:Using performance data for 9019 breast cancer patients treated at 10 National Comprehensive Cancer Network institutions, we assessed concordance relative to 30 reliable, valid breast cancer process-based treatment measures. We identified 4 attributes that indicated there was room for improvement and characterized the extent of burden imposed by failing to follow each measure: number of nonconcordant patients, concordance across all institutions, highest concordance at any 1 institution, and magnitude of benefit associated with concordant care. For each measure, we used data from the concordance analyses to derive the first 3 attributes and surveyed expert breast cancer physicians to estimate the fourth. A simple algorithm incorporated these attributes and produced a final score for each measure; these scores were used to rank the measures. Results:We successfully prioritized quality measures using explicit, objective methods and actual performance data. The number of nonconcordant patients had the greatest influence on the rankings. The highest-ranking measures recommended chemotherapy and hormone therapy for hormone-receptor positive tumors and radiation therapy after breast-conserving surgery. Conclusions:This simple, explicit approach is a significant departure from methods used previously, and effectively identifies breast cancer quality measures that have broad clinical relevance. Systematically prioritizing quality measures could increase the efficiency and efficacy of quality improvement efforts and substantially improve outcomes.

Impact of neoadjuvant chemotherapy on breast reconstruction

The root causes of regional variation in medical spending are poorly understood and vary by clinical condition. To identify drivers of regional spending variation for Medicare patients with advanced cancer, we used linked Surveillance, Epidemiology, and End Results program (SEER)-Medicare data from the period 2004-10. We broke down Medicare spending into thirteen cancer-relevant service categories. We then calculated the contribution of each category to spending and regional spending variation. Acute hospital care was the largest component of spending and the chief driver of regional spending variation, accounting for 48 percent of spending and 67 percent of variation. In contrast, chemotherapy accounted for 16 percent of spending and 10 percent of variation. Hospice care constituted 5 percent of spending. However, variation in hospice spending was fully offset by opposing variation in other categories. Our analysis suggests that the strategy with the greatest potential to improve the value of care for patients with advanced cancer is to reduce reliance on acute hospital care for this patient population.