24.12.2012 Views

Annual Meeting Proceedings Part 1 - American Society of Clinical ...

Annual Meeting Proceedings Part 1 - American Society of Clinical ...

Annual Meeting Proceedings Part 1 - American Society of Clinical ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

6028 Poster Discussion Session (Board #16), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

How do elderly cancer survivors fare? A comparison <strong>of</strong> characteristics,<br />

health status, health behaviors, and spending between Medicare beneficiaries<br />

with and without a cancer history. Presenting Author: Xuehua Ke,<br />

University <strong>of</strong> Maryland School <strong>of</strong> Pharmacy, Batlimore, MD<br />

Background: Prior research on cancer (Ca) survivors has been limited to<br />

small cohorts or claims data with limited measures. In this study we used<br />

population-based survey data to characterize multiple dimensions <strong>of</strong> the<br />

survivor experience including socioceonomic status, health status and<br />

behaviors, and healthcare spending, comparing survivors to beneficiaries<br />

w/o a Ca history. Methods: Data were pooled from the 1997-2007 Medicare<br />

Current Beneficiary Survey (MCBS) including linked claims (3 yrs prior to<br />

MCBS enrollment to concurrent). Ca survivors were identified from ICD-<br />

9-CM codes on claims or self report <strong>of</strong> a prior Ca dx, survived 2� yrs from<br />

observed Ca dx, and had no active treatment, hospice enrollment or death<br />

in the selected survivorship yr. Beneficiary characteristics and healthcare<br />

use were based on self report augmented by claims-based measures.<br />

Bivariate and multivariate analyses were used to compare survivors’<br />

characteristics and spending to controls. Results: The study included<br />

3,921 survivors and 7,056 subjects w/o Ca. Among survivors, breast<br />

(21%), prostate (21%), and colorectal (16%) were most common Ca sites.<br />

Compared to controls without (w/o) Ca, survivors had higher income and<br />

assets, were more likely to have supplemental medical and prescription<br />

drug coverage (74% vs. 70%), had more comorbid conditions as measured<br />

by Charlson Comorbidity Index score ��2 (18% vs. 15%), and a smoking<br />

history (60% vs. 53%); survivors were less likely to avoid visiting doctors<br />

(22% vs. 30%), and more satisfied with the quality <strong>of</strong> medical care<br />

received (96% vs. 92%). Survivors had higher annual healthcare spending<br />

(mean $12,095 vs. $8,928) and outpatient drug spending ($2,205 vs.<br />

$1,898). All differences in healthcare use and spending remained significant<br />

after adjusting for socioeconomic status, health conditions, and<br />

behaviors. Conclusions: Elderly Ca survivorshad more supplemental insurance<br />

coverage, stronger preferences for medical care, used more preventive<br />

services, and had higher spending compared to beneficiaries w/o Ca. These<br />

patterns may reflect the effects <strong>of</strong> survivorship on need for healthcare and<br />

care seeking behaviors.<br />

6030 Poster Discussion Session (Board #18), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

Longitudinal changes in health care utilization by adult survivors <strong>of</strong><br />

childhood cancer in the Childhood Cancer Survivor Study (CCSS). Presenting<br />

Author: Jacqueline N. Casillas, UCLA, Los Angeles, CA<br />

Background: The incidence <strong>of</strong> late effects increases as childhood cancer<br />

survivors age. Survivors require lifelong care focused on the risks arising<br />

from prior cancer therapy (survivor-focused care). Methods: We assessed<br />

longitudinal changes in health care utilization in adult survivors <strong>of</strong><br />

childhood cancer participating in the CCSS. Utilization at baseline and<br />

most recent follow-up was classified into one <strong>of</strong> three mutually exclusive<br />

hierarchical categories: no health care, general medical care, or survivorfocused<br />

care. Relative risk (RR) and 95% confidence intervals (CI) were<br />

calculated for predictors <strong>of</strong> reduction in care over time from survivorfocused<br />

to general or no care. Multivariable models, adjusted for key<br />

treatment exposures, were created to assess the risk factors for reductions<br />

in level <strong>of</strong> care over time. Results: Among 8591 eligible survivors, mean age<br />

at last follow-up was 35.1 years (SD�7.8) with a mean <strong>of</strong> 11.6 years<br />

(SD�2.2) since baseline. Of 3993 (46%) survivors who reported survivorfocused<br />

care at baseline, 2383 (59.7%) reported a lower level <strong>of</strong> care at<br />

follow-up. Among 4598 (54%) not receiving survivor-focused care at<br />

baseline, 915 (20%) reported survivor-focused care at follow-up. Baseline<br />

predictors <strong>of</strong> a decreased level <strong>of</strong> care were no health insurance (RR�1.5,<br />

95% CI 1.2-1.9), male sex (RR�1.4, 95% CI 1.2-1.6), being 10-19 years<br />

from diagnosis compared with 20� years (RR�1.4, 95% CI 1.1-1.7). In<br />

contrast, factors associated with a maintenance in survivor-focused care<br />

were Canadian residency compared to U.S. residency with insurance<br />

(RR�0.7, 95% CI 0.6-0.9), unemployment (RR�0.8, 95% CI 0.7-0.9),<br />

physical limitations (RR�0.7, 95% CI 0.6-0.9), cancer-related pain<br />

(RR�0.7, 95% CI 0.5-0.8), poor emotional health (RR�0.7, 95% CI<br />

0.5-0.9), having mild-moderate (RR�0.5, 95% CI 0.4-0.6) or severedisabling<br />

chronic health condition (RR�0.6, 95% CI 0.5-0.7). Conclusions:<br />

Less than a third <strong>of</strong> adult survivors <strong>of</strong> childhood cancer report survivorfocused<br />

care. Rates decrease over time. Targeted interventions to maximize<br />

survivor-focused care in at-risk survivors should be tested so preventive and<br />

risk-reducing opportunities are not lost.<br />

Health Services Research<br />

6029 Poster Discussion Session (Board #17), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

Patient-centered medical homes may improve breast cancer surveillance<br />

among survivors. Presenting Author: Stephanie B. Wheeler, University <strong>of</strong><br />

North Carolina at Chapel Hill, Chapel Hill, NC<br />

Background: Community Care <strong>of</strong> North Carolina (CCNC) initiated a medical<br />

home (MH) program in the early 1990s focused on improving care in<br />

Medicaid-insured populations. CCNC has been successful in improving<br />

asthma, diabetes, and cardiovascular disease outcomes, but has not been<br />

examined in the context <strong>of</strong> cancer care. We sought to determine whether<br />

CCNC enrollment was associated with improved cancer surveillance among<br />

breast cancer survivors. Methods: Using state cancer registry records linked<br />

to Medicaid claims, we identified women ages 18-64 diagnosed with stage<br />

0, I, or II breast cancer from 2003-2007. We included only cases insured<br />

by Medicaid for at least 12 <strong>of</strong> 15 months following the index cancer<br />

diagnosis. Reflecting ASCO guidelines for breast cancer surveillance for<br />

survivors (2006), we defined outcomes as time to first surveillance<br />

mammogram post-diagnosis and overall receipt <strong>of</strong> mammogram by 15months<br />

post-diagnosis. Our primary independent variable was enrollment<br />

in CCNC, categorized as never enrolled, enrolled up to 6 months, and<br />

enrolled 7 months or more. We used multivariate Cox proportional hazards<br />

stratified by receipt <strong>of</strong> radiation therapy (RT) and logistic regressions.<br />

Results: 840 women were included in our sample. Approximately half were<br />

enrolled in CCNC for at least some time during the study period, 38% for<br />

more than 7 months post-diagnosis. Among women who received RT, being<br />

in a MH for at least 7 months corresponded to earlier follow-up mammogram<br />

(Hazard Ratio: 1.34; p�0.028), controlling for all other factors.<br />

Enrollment in a MH for at least 7 months post-diagnosis also was<br />

associated with overall receipt <strong>of</strong> mammogram by 15 months (p�0.01).<br />

Interaction terms indicated that women enrolled in MHs and living in a<br />

rural area had a statistically significant higher likelihood <strong>of</strong> receiving<br />

mammography. Conclusions: Results suggest that MH enrollment is associated<br />

with improved cancer surveillance among breast cancer survivors<br />

insured by Medicaid. Given the growing population <strong>of</strong> cancer survivors and<br />

increased emphasis on MHs in the Affordable Care Act, more research is<br />

needed to explore how patient-centered medical homes can be enhanced to<br />

improve the transition from cancer patient to cancer survivor.<br />

6031 Poster Discussion Session (Board #19), Tue, 8:00 AM-12:00 PM and<br />

11:30 AM-12:30 PM<br />

How radiation oncologist accessibility influences treatment choice and<br />

quality in early-stage breast cancer: A SEER database analysis. Presenting<br />

Author: Thomas M. Churilla, The Commonwealth Medical College, Scranton,<br />

PA<br />

Background: Mastectomy and breast conserving therapy (BCT, partial<br />

mastectomy and adjuvant radiotherapy) are equivalent in survival for<br />

treatment <strong>of</strong> early stage breast cancer. This study evaluated the impact <strong>of</strong><br />

radiation oncologist accessibility on choice <strong>of</strong> mastectomy versus BCT, and<br />

the receipt <strong>of</strong> radiotherapy after BCT. Methods: In the NCI SEER database,<br />

breast cancer cases from 2004-2008 were selected with the following<br />

criteria: T2N1M0 or less, lobular or ductal histology, and treatment with<br />

simple mastectomy or partial mastectomy (�/-) adjuvant radiation. The<br />

HRSA Area Resource File was combined to define average radiation<br />

oncologist density (ROD, number <strong>of</strong> radiation oncologists/100K people) by<br />

county over the same time period. Tumor characteristics, demographic<br />

information, and ROD were evaluated with respect to mastectomy rates and<br />

receipt <strong>of</strong> radiation therapy after BCT in univariate and multivariate<br />

analyses. Results: In the 118,961 cases analyzed, mastectomy was<br />

performed 33.3% <strong>of</strong> the time relative to BCT. After adjustment for<br />

demographic and tumor variables, the odds <strong>of</strong> having mastectomy versus<br />

BCT were inversely associated with ROD (OR [95% CI] � 0.94 [0.93-<br />

0.96]; p�0.001). Adjuvant radiation therapy was not administered in<br />

23.4% <strong>of</strong> BCT cases. Likewise, the odds <strong>of</strong> having BCT without adjuvant<br />

radiation were inversely associated with ROD (0.96 [0.95-0.98]; p�0.001,<br />

table). Conclusions: There was a significant, inverse and linear relationship<br />

between ROD and mastectomy rates independent <strong>of</strong> demographic and<br />

tumor variables. An inverse trend was also observed for the omission <strong>of</strong><br />

radiotherapy after BCT. Access to radiation oncologists was a factor in<br />

surgical choice and receiving appropriate BCT in early stage breast cancer.<br />

Radiation<br />

oncologist<br />

density a<br />

(percentile)<br />

Mastectomy<br />

rate b (%)<br />

Odds <strong>of</strong><br />

omission <strong>of</strong><br />

radiotherapy<br />

after BCT c [95% CI] p value<br />

0-10 th d 45.4 1.30 1.22-1.39 �0.001<br />

10-25 th 40.6 0.92 0.85-0.99 0.020<br />

25-75 th 37.9 1.00 Referent --<br />

75-90 th 40.0 0.85 0.79-0.92 �0.001<br />

90-100 th 36.4 0.89 0.83-0.95 �0.001<br />

a Number <strong>of</strong> radiation oncologists/100K.<br />

b Mastectomy/[Mastectomy � BCT w/ radiation].<br />

c Multivariate.<br />

d 0-10 th represents 0 radiation oncologists/100K.<br />

Visit abstract.asco.org and search by abstract for the full list <strong>of</strong> abstract authors and their disclosure information.<br />

389s

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!