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2012 EDUCATIONAL BOOK - American Society of Clinical Oncology

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IMPROVING VALUE OF CARE IN ONCOLOGY<br />

processes in advance in such detail; instead, they treat each<br />

new patient or problem as a random draw from a heterogeneous<br />

population and must, therefore, reinvent the strategy<br />

for solving it.” For much <strong>of</strong> its history, medical oncology has<br />

approached care this way. Fortunately, advances in genomics<br />

have begun to identify clinically meaningful disease<br />

subsets. Patients with adenocarcinoma <strong>of</strong> the lung, for<br />

example, are now routinely tested for the presence <strong>of</strong> activating<br />

mutations <strong>of</strong> epidermal growth factor or translocations<br />

<strong>of</strong> anaplastic lymphoma kinase (ALK). 12,13 Patients<br />

with lung cancer with these genotypes now have access to<br />

targeted therapies that have transformed the natural history<br />

<strong>of</strong> their disease. By “planning,” Bohmer argues for the<br />

development <strong>of</strong> pre-emptive treatment approaches for patients<br />

using clinical practice guidelines or clinical pathways.<br />

Intentional Infrastructure Design<br />

The gradual shift <strong>of</strong> medicine from “guild” to pr<strong>of</strong>ession is<br />

embodied by this habit. 14 This entails designing care to<br />

maximize the use <strong>of</strong> each team member’s skills and expertise<br />

and requires engagement <strong>of</strong> the patient and family. The<br />

medical home model now being implemented widely in<br />

primary care is an example <strong>of</strong> effective infrastructure design,<br />

and a pilot in one medical oncology practice suggests<br />

that the model can be extended. 9 Multidisciplinary cancer<br />

care—when well designed—is a powerful tool to leverage<br />

personnel and limited resources. 15<br />

Measurement and Oversight<br />

High-value organizations go far beyond measurement<br />

required for external reporting to the development <strong>of</strong> a set <strong>of</strong><br />

internal measurements that become integral to accountability<br />

and organizational management.<br />

Self-Study<br />

Bohmer notes that “high-value organizations treat clinical<br />

knowledge as an organizational as well as individual property...these<br />

organizations deliberately nurture a culture<br />

that supports learning. ...” Inthis environment, in which<br />

KEY POINTS<br />

● Medical oncologists must strive for high value <strong>of</strong><br />

cancer care—defined as outcomes achieved per dollars<br />

spent.<br />

● Reliable, accurate means to assess the quality and<br />

cost across the spectrum <strong>of</strong> cancer services must be<br />

created to drive high-value care.<br />

● The ASCO Quality <strong>Oncology</strong> Practice Initiative<br />

(QOPI) is available to all U.S. medical oncologists to<br />

sample care processes and to compare their performance<br />

over time and against national benchmarks.<br />

● The ASCO QOPI Certification Program (QCP) allows<br />

practices to demonstrate high quality <strong>of</strong> care and safe<br />

chemotherapy administration practices.<br />

● ASCO is developing a Rapid Learning System that<br />

leverages new information technologies with the goal<br />

<strong>of</strong> improving the value <strong>of</strong> cancer care by focusing on<br />

effectiveness, safety, efficiency, and quality.<br />

specification and planning are built into systems, variations<br />

from guidelines and pathways are studied to understand<br />

and learn from variation. This is the clinical equivalent <strong>of</strong><br />

the managerial approach <strong>of</strong> “managing by exception.”<br />

Managing What We Measure<br />

At the 1962 Yale University Commencement Address,<br />

John F. Kennedy noted that “for the great enemy <strong>of</strong> truth is<br />

very <strong>of</strong>ten not the lie—deliberate, contrived, and dishonest—but<br />

the myth—persistent, persuasive, and unrealistic.”<br />

This admonition is as true in medicine as it is in politics.<br />

Without data to inform our delivery <strong>of</strong> care, we are dependent<br />

on subjectivity and biases and at risk <strong>of</strong> squandering<br />

precious resources and mistreating our patients. 16 The collection<br />

<strong>of</strong> accurate, granular, and timely data is vital for<br />

organizational and provider growth and in the quest for<br />

excellence. Berwick, James, and Coye describe two overlapping<br />

types <strong>of</strong> performance assessment, “measurement for<br />

selection” and “measurement for improvement.” 17<br />

Measurement for selection. This approach to improving<br />

the quality <strong>of</strong> care is based on the premise that health care<br />

outcomes studied in any setting (e.g., individual practitioner<br />

or health care organization) will have a distribution <strong>of</strong><br />

performance levels. In principle, this consumer-based approach<br />

to value simply requires the selection <strong>of</strong> the desired<br />

outcome, review <strong>of</strong> the provider or organizational performance,<br />

and selection based on identifying the best<br />

performer—“get better care by choosing better care.” 17 A<br />

major shortcoming <strong>of</strong> this approach is that it does not<br />

improve the overall quality <strong>of</strong> care; care is simply shifted<br />

toward high performing practitioners or organizations. 18 In<br />

addition, measurement for selection remains an inexact<br />

science in medicine. Outcome variation across providers and<br />

organizations is <strong>of</strong>ten because <strong>of</strong> the complex interactions <strong>of</strong><br />

patient-specific factors (which are <strong>of</strong>ten imperfectly measured)<br />

with the health care system. In addition, measurement<br />

for selection <strong>of</strong>ten relies on a series <strong>of</strong> summary<br />

statistics lacking sufficient specificity or granularity to draw<br />

precise conclusions for most medical conditions or procedures.<br />

Measurement for improvement. Using this approach, focus<br />

is shifted toward the processes <strong>of</strong> care rather than the<br />

providers, and, when successful, the entire distribution <strong>of</strong><br />

performance levels is shifted to a higher level. Institutions<br />

such as Intermountain Healthcare (IHC) that have experienced<br />

major strides in improving quality over the past<br />

decade have consciously shifted from measuring for selection<br />

to measuring for improvement. 18 IHC success has<br />

depended on building a comprehensive clinical information<br />

system, engaging clinicians to develop standardized approaches<br />

(care process models [CPMs]) to the management<br />

<strong>of</strong> common conditions, encouraging clinicians to vary from<br />

these approaches when justified by circumstances, and continuously<br />

modifying the CPMs based on analysis <strong>of</strong> variations<br />

and on emerging literature.<br />

The Emergence <strong>of</strong> the Quality <strong>Oncology</strong> Practice<br />

Initiative (QOPI)<br />

In response to the Institute <strong>of</strong> Medicine’s National Cancer<br />

Policy Board recommendations published in 1999, 19 ASCO<br />

commissioned researchers at the Harvard School <strong>of</strong> Public<br />

Health and at the RAND Corporation to undertake a study<br />

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