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LAWRENCE N. SHULMAN<br />

will never be eliminated altogether. All members of a team<br />

must be free and willing to speak up when something seems<br />

wrong, and each team member must respect and encourage<br />

this approach. Hierarchical systems in which some team<br />

members are viewed as subservient add considerably to system<br />

vulnerabilities. An organizational structure that continually<br />

assesses culture and processes, with clear leadership and<br />

accountability, is essential in any cancer practice.<br />

However, as important as safety is, it does not consider<br />

quality of cancer care in regard to appropriateness of treatment<br />

that is designed to provide optimal patient outcomes. It<br />

is possible for a medical oncologist to order a regimen correctly,<br />

to have it prepared and administered as intended with<br />

optimal safety, but if it is not the ideal regimen for the patient’s<br />

particular type of cancer, the patient outcome is likely<br />

to be less than it might be.<br />

KEY POINTS<br />

<br />

<br />

<br />

<br />

<br />

Cancer care providers have an obligation to measure the<br />

quality of their treatment to be certain they understand its<br />

current state and can design interventions to continually<br />

improve performance and patient outcomes.<br />

Cancer care quality encompasses the safety of care<br />

delivered, process measures assessing whether appropriate<br />

treatments were administered, and outcome measures that<br />

include survival and quality of life.<br />

Cancer care is complex, provided by medical, radiation, and<br />

surgical oncologists, and oncology nurses, with key support<br />

from pathologists and radiologists, and spans in-patient and<br />

out-patient venues, which makes quality assessment and<br />

improvement challenging.<br />

The Commission on Cancer’s Quality program using the<br />

National Cancer Data Base and the American Society of<br />

Clinical Oncology’s Quality Oncology Practice Initiative are<br />

examples of broad-based national quality programs.<br />

The use of health information technology will play a key<br />

role in future measurement of cancer care quality.<br />

PROCESS QUALITY<br />

Much of current cancer care quality measurement is focused<br />

on process measures. Based on a high level of evidence from<br />

randomized clinical trials, a patient with stage III colon cancer<br />

should receive adjuvant chemotherapy. Most quality<br />

programs, however, only determine if the patient received<br />

chemotherapy. They do not assess whether the patient received<br />

the right chemotherapy, whether it was given in appropriate<br />

doses and schedule, and they do not assess patient<br />

toxicity, quality of life, or survival. There is an implication<br />

that if the patient received chemotherapy in this circumstance,<br />

appropriate therapy was given, and, by inference, outcomes<br />

would be ideal. These are big assumptions.<br />

Additionally, much of what oncology providers deal with on<br />

a day-to-day basis involves decisions where no high-level evidence<br />

exists, which narrows the number of important clinical<br />

decisions that can be assessed for quality.<br />

Process measures are used for many reasons. They can be<br />

defıned, measured, and assessed on recently treated patients.<br />

There is an assumption that receiving the right therapy will<br />

result in optimal ultimate outcomes. This assumption, however,<br />

can be variably defıned. Did the patient with stage III<br />

colon cancer receive chemotherapy? Do we know what chemotherapy<br />

he or she received? Do we know if dosing and<br />

schedule was appropriate? Do we know if toxicities were<br />

managed appropriately? Care processes can be evaluated on a<br />

small random sample of patients or on all patients meeting<br />

defıned criteria. ASCO’s QOPI assesses a random subset of<br />

patients with a particular diagnosis and stage for appropriate<br />

therapy. For example, patients who have stage III colon cancer<br />

should receive adjuvant chemotherapy. 3 The Commission<br />

on Cancer (CoC) uses the National Cancer Data Base<br />

(NCDB), which will be described in more detail later in this article,<br />

to assess all patients treated at a CoC-accredited hospital<br />

for this same metric. 5 Process measures are most useful for a<br />

practice or hospital when data from other practices and hospitals<br />

are available to compare performance. This is true for both<br />

the QOPI program and the CoC quality program. In neither<br />

case, though, are the specifıc chemotherapeutic agents assessed,<br />

nor are the appropriateness of dosing and schedule.<br />

Process measures can assess the current state of practice for<br />

a particular physician group or hospital. They also can be<br />

used as a quality improvement tool if performance is suboptimal.<br />

The QOPI program examined chemotherapy given<br />

during the last 2 weeks of life as a quality metric for end-oflife<br />

care. A group in Michigan realized that its rates of utilization<br />

of chemotherapy during the last 2 weeks of life were<br />

much higher than other QOPI programs. The group then designed<br />

interventions to influence practice and their performance<br />

quickly improved substantially. 6<br />

Some process measures derived from very high-level evidence<br />

represent relatively low bars to which excel. Both<br />

QOPI and CoC examine hormone therapy rates for women<br />

with certain stage, hormone receptor–positive breast cancer.<br />

Most programs rate very high on this metric. As such, most<br />

programs have little room for improvement and the measure<br />

does not represent a good approach to comparing performance<br />

across programs.<br />

OUTCOMES MEASURES<br />

Patient outcomes, such as overall survival, which takes into<br />

account survival from the cancer as well as potential complications<br />

of therapy, might be the ultimate quality metric. Survival<br />

as a quality metric, however, presents many challenges.<br />

Survival depends not only on the stage of disease, but also<br />

on a number of related and unrelated factors. Gender and age<br />

have profound effects on survival, and these data are always<br />

available in databases for stratifıcation. Socioeconomic status,<br />

ethnicity, performance status at presentation, comorbidities,<br />

and distance from the patient’s home to his or her treating center<br />

all affect survival rates, but not all of these factors may be<br />

e338<br />

2015 ASCO EDUCATIONAL BOOK | asco.org/edbook

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