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

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402s Health Services Research<br />

6081 General Poster Session (Board #6F), Mon, 1:15 PM-5:15 PM<br />

Physician age and surveillance intensity following curative-intent treatment<br />

for breast cancer patients. Presenting Author: Steven F. Abboud,<br />

Saint Louis University , St. Louis, MO<br />

Background: Breast carcinoma is a large health care concern for patients,<br />

physicians, and society. 2.5 million women have been treated for breast<br />

cancer and are candidates for surveillance in the US. We have documented<br />

dramatic variation in post-treatment surveillance strategies utilized by<br />

ASCO experts caring for such patients. Since it is <strong>of</strong>ten asserted that<br />

younger physicians order more tests than older physicians, we sought to<br />

measure the effect <strong>of</strong> clinician age on post-treatment surveillance intensity<br />

for breast cancer patients by analyzing a recent survey <strong>of</strong> ASCO members.<br />

Methods: We surveyed the 3245 ASCO members who indicated that breast<br />

cancer treatment was a major focus <strong>of</strong> their practice. 4 succinct clinical<br />

vignettes describing generally healthy women with breast cancer <strong>of</strong> varying<br />

prognoses and a menu <strong>of</strong> 12 surveillance modalities were <strong>of</strong>fered. The<br />

menu was chosen after a literature search indicated that no other<br />

surveillance tests were commonly used. We analyzed data from one <strong>of</strong> the 4<br />

idealized vignettes only (the patient with TNM IIA carcinoma) and stratified<br />

responses by clinician age. Practice patterns were compared by years after<br />

completion <strong>of</strong> training (0-10, 11-20, 21-30, 30-40, �40 years), a<br />

surrogate measure <strong>of</strong> physician age. Statistical analysis employed ANOVA.<br />

Results: There were 1012 responses; 915 were evaluable. Statistically<br />

significant differences were observed across age strata for CBC, liver<br />

function tests (LFTs), and serum CEA level only. For example, ASCO<br />

clinicians in practice for 0-10 years after completion <strong>of</strong> training recommended<br />

CBCs 1.3 � 1.4 (mean � SD) times in year 1. Those � 40 years<br />

after completion <strong>of</strong> training recommended CBCs 2.4 � 1.3 times in year 1<br />

(p�0.001). Conclusions: Younger physicians recommend statistically significantly<br />

fewer CBCs, LFTs, and serum CEA levels during post-treatment<br />

surveillance than older physicians. However, the magnitude <strong>of</strong> the difference<br />

is clinically small for all 3 modalities and does not explain the known<br />

overall variation in surveillance practice among clinically active experts.<br />

6083 General Poster Session (Board #6H), Mon, 1:15 PM-5:15 PM<br />

Chemotherapy in the oldest old: The feasibility <strong>of</strong> cytotoxic therapy in the<br />

80� population. Presenting Author: Shelly Sud, Division <strong>of</strong> Medical<br />

Oncology, The Ottawa Hospital Cancer Centre, Department <strong>of</strong> Medicine,<br />

University <strong>of</strong> Ottawa, Ottawa, ON, Canada<br />

Background: The incidence <strong>of</strong> most common malignancies increases with<br />

age. As life expectancy improves globally, more elderly cancer patients will<br />

be candidates for systemic therapy. There is little data investigating<br />

chemotherapy (CT) in those over 80 – the “oldest old”. Our hypothesis is<br />

that CT in the 80� population may be associated with significant toxicities<br />

and is therefore not feasible for many patients. Methods: A retrospective<br />

chart review was undertaken to report outcomes <strong>of</strong> patients �80 years old<br />

who initiated CT for solid tumors at the Ottawa Hospital Cancer Center<br />

between Nov. 2005 and Jan. 2010. Baseline data on patient demographics,<br />

cancer type and CT were collected. Primary endpoints included: rates<br />

<strong>of</strong> CT dose reduction, omission, delay and discontinuation due to toxicity,<br />

hospitalization and blood transfusion rates. Results: CT was initiated on<br />

212 occasions (32% lung, 31% GU, 24% GI, 13% other cancer). Median<br />

age was 83 (range 80-92) and 60% <strong>of</strong> patients were male. Where data were<br />

available, 60% had a good performance score (ECOG 0-1) and 63% were<br />

current or ex-smokers. 82% had Charlson risk index scores <strong>of</strong> �5, 37% had<br />

�6 baseline medications, 18% lived alone independently. At baseline,<br />

11% were anemic, 12% had leukocytosis, and 45% had impaired renal<br />

function (eGFR�60). Most patients had stage 4 disease (76%), were<br />

treated with palliative intent (75%) and were receiving first line CT (77%).<br />

Initial dose was adjusted in 34% <strong>of</strong> cases. Therapy was discontinued due to<br />

toxicity in 30% <strong>of</strong> cases, and 53% <strong>of</strong> patients required dose reduction,<br />

omission or delay. In 38% <strong>of</strong> cases, patients were hospitalized during their<br />

course <strong>of</strong> therapy or within 30 days there<strong>of</strong>. Blood transfusions were<br />

required in 24%. Factors associated with risk <strong>of</strong> hospitalization included<br />

baseline number <strong>of</strong> medications �6 (OR 1.96, 95% CI 1.1-3.5) and<br />

baseline anemia (OR 2.55, 95% CI 1.07-6.05). Initial dose reduction at<br />

cycle 1 did not significantly affect rates <strong>of</strong> hospitalization, transfusion or CT<br />

discontinuation. Conclusions: CT in the 80� population is associated with a<br />

significant risk <strong>of</strong> hospitalization, transfusion and discontinuation due to<br />

toxicity, even when doses are adjusted from the outset. We plan to<br />

prospectively validate these findings.<br />

6082 General Poster Session (Board #6G), Mon, 1:15 PM-5:15 PM<br />

Comparison <strong>of</strong> drug approval between health Canada (HC) and the U.S.<br />

Food and Drug Administration (FDA). Presenting Author: Doreen Ezeife,<br />

University <strong>of</strong> Calgary, Calgary, AB, Canada<br />

Background: Differences in drug approval processes between countries can<br />

impact patient access to new therapies. In Canada, patients can freely<br />

access a new treatment after regulatory approval by Health Canada (HC)<br />

followed by funding approval from the provincial government. The aims <strong>of</strong><br />

this study were to delineate the Canadian drug approval timeline and to<br />

compare the time to drug approval between HC and the US FDA. Methods:<br />

Cancer drugs approved by the FDA from 1989 to 2011 were reviewed. For<br />

each drug, the following endpoints were determined: publication date <strong>of</strong><br />

phase I and pivotal phase III trial, date <strong>of</strong> FDA and HC approval, HC<br />

submission date, and funding approval in Alberta (AB). Time intervals<br />

between the aforementioned endpoints were calculated. Results: Of 55<br />

FDA-approved drugs, 51 drugs are approved by HC with 40 <strong>of</strong> these drugs<br />

funded in AB. HC approval occurs an average <strong>of</strong> 14.4 months post FDA<br />

approval (95% CI -36.9 to 66.1, sign rank test p�0.0001). However, there<br />

was no significant difference between the mean time from Phase I to FDA<br />

approval (48.5 months; 95% CI 21.2 to 75.8) and Phase I to HC approval<br />

(61.5 months; 95% CI 32.4 to 90.5). Most drugs (74%) were approved by<br />

the FDA prior to publication <strong>of</strong> the phase III trial. There was a trend towards<br />

faster drug approval from Phase III to FDA approval compared to HC<br />

(-14.97 versus 0.1 months, p � 0.05). HC submission occurs before FDA<br />

drug approval 77% <strong>of</strong> the time (mean 3.0 months prior; 95%CI: -59.1 to<br />

43.4, p � 0.0206). HC approval occurs on average 17 months post HC<br />

submission. AB funding approval occurs on average 22 months after HC<br />

approval. The time interval from Phase I to AB funding approval was<br />

significantly shorter for targeted compared to cytotoxic agents (mean time<br />

58 vs. 120 months; p � 0.039). Conclusions: HC drug approval lags behind<br />

FDA approval by about 14 months. Time from Phase III to drug approval<br />

tends to be shorter for the FDA compared to HC. This is the first<br />

documentation, to our knowledge, <strong>of</strong> the time required to bring a drug from<br />

phase I trial to provincial funding approval.<br />

6084 General Poster Session (Board #7A), Mon, 1:15 PM-5:15 PM<br />

Does drug cost drive drug adherence? The designer drug phenomenon.<br />

Presenting Author: Jalal Ebrahim, St. Michael’s Hospital, University <strong>of</strong><br />

Toronto, Toronto, ON, Canada<br />

Background: Cancer patients (pts) are on many medications, both for<br />

malignancy and supportive therapies. The cost <strong>of</strong> oral medications are<br />

funded by either the pt, public, or private mechanisms. Low adherence<br />

rates are observed in oral treatments, and non-adherence is the primary<br />

cause <strong>of</strong> treatment failures. To our knowledge, cost-related adherence to<br />

oral therapy in the context <strong>of</strong> malignancy has not been studied extensively<br />

in the existing literature. We assessed the relationships between oral<br />

medication costs and adherence rates. Methods: This cohort study enrolled<br />

453 pts at 3 outpatient heme/onc clinics in the Greater Toronto Area. A<br />

7-item survey was designed to assess pt demographics, self-reported<br />

adherence to oral medication, type <strong>of</strong> drug coverage (private payer, public<br />

payer, self payer) and patients’ perceived cost <strong>of</strong> oral drugs. Oral medications<br />

were recorded and actual monthly costs were calculated. Descriptive<br />

statistics were used to describe frequencies. Spearman Rank Order<br />

Correlations and Chi-Square Analyses were used to examine relationships<br />

between variables. Results: Of 453 pts, 50% had a private drug plan, 24%<br />

paid out <strong>of</strong> pocket, 44% had government funding and 4% reported their<br />

physician had arranged funding. 51% <strong>of</strong> pts had oral drug costs <strong>of</strong> �<br />

$100/month. Self reported adherence to prescribed oral medications was<br />

80%. As the cost <strong>of</strong> prescribed medications increased, so did self reported<br />

adherence (r�0.144, p�0.002). There was also a significant relationship<br />

between drug coverage and oral drug costs (c²�23.78, df�12, p�0.02).<br />

Pts paying out <strong>of</strong> pocket were significantly less likely than all other pts to<br />

have oral drug costs <strong>of</strong> �$500/month (11% vs 19%) Conclusions: As oral<br />

drug costs increase, so does likelihood <strong>of</strong> adhering to prescribed regimen.<br />

This implies that further pt education about the efficacy and importance <strong>of</strong><br />

medications may help with adherence, regardless <strong>of</strong> cost. It is possible that<br />

pts are provided with more education regarding newer and more expensive<br />

agents than they are regarding older and cheaper agents, regardless <strong>of</strong><br />

efficacy. Disparities observed in medication costs between those with<br />

private drug plans vs. those without suggests financial restrictions may<br />

affect prescription patterns in this group.<br />

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

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