Peter Paul Yu

American Society of Clinical Oncology Statement: A Conceptual Framework to Assess the Value of Cancer Treatment Options

Health care costs in the United States present a major challenge to the national economic well being. The Centers for Medicare and Medicaid Services (CMS) has projected that US health care spending will reach

Updating the American Society of Clinical Oncology Value Framework: Revisions and Reflections in Response to Comments Received

4.3 trillion and account for 19.3% of the national gross domestic product by 2019.1 This growth in spending—both in absolute terms and as a proportion of our gross domestic product—has not been accompanied by commensurate improvements in health outcomes, despite expenditures far exceeding those of other countries.2–4 One of the fastest growing components of US health care costs is cancer care, the cost of which is now estimated to increase from

Principles of Safe Practice Using an Oncology EHR System for Chemotherapy Ordering, Preparation, and Administration, Part 1 of 2

125 billion in 2010 to

Breast cancer treatment across health care systems: Linking electronic medical records and state registry data to enable outcomes research

158 billion in 2020.1 Although cancer care represents a small fraction of overall health care costs, its contribution to health care cost escalation is increasing faster than those of most other areas because of several factors: the increasing prevalence of cancer due to the overall aging of the population and better control of some causes of competing mortality; the introduction of costly new drugs and techniques in radiation therapy and surgery; and the adoption of more expensive diagnostic tests. In some cases, the adoption of newer, more expensive diagnostic and therapeutic interventions may not be well supported by medical evidence, thereby raising costs without improving outcomes.5 Coupled with, or even driving, some of these rising costs are sometimes unrealistic patient and family expectations that lead clinicians to offer or recommend some of these services, despite the lack of supporting evidence of utility or benefit.6 Historically, most individuals in the United States were shielded from the acute economic impact of expensive care because they had health insurance. However, current trends suggest that patients will find themselves increasingly responsible for a greater proportion of the cost of their health care. Cost shifting or sharing can occur through the increased use of high-deductible policies and larger copayments. These increased costs are already commonplace and may not be affordable for many families. Indeed, health care expenditures are cited as a major cause of personal bankruptcy,7 and the term financial toxicity has entered the vernacular as a means of describing the financial distress that now often accompanies cancer treatment.8 Like other toxicities of cancer treatment, financial toxicity resulting from out-of-pocket treatment expenses can reduce quality of life and impede delivery of high-quality care.9,10 Patients experiencing high out-of-pocket costs have reported reducing their spending on food and clothing, reducing the frequency with which they take prescribed medications, avoiding recommended procedures, and skipping physician appointments to save money.10,11 These unintended consequences risk an increase in health disparities, which runs counter to some of the key goals of health care reform. In many communities, the high costs associated with cancer care have created a difficult situation for patients and the oncologists who care for them. Addressing this situation will require greater understanding of all the risks and benefits of various treatment options as well as the consequences of specific choices. In this regard, studies have shown that patients specifically want financial information about treatment alternatives along with information about medical effectiveness and treatment toxicity. However, they often do not receive it. Closing this knowledge gap will require educated providers who are able to sensitively initiate a dialogue about the cost of care with their patients when appropriate.12,13 Patients with cancer are often surprised by and unprepared for the high out-of-pocket costs of treatments. They also overestimate the benefits of treatments that sometimes extend life by only weeks or months or not at all. Oncologists are generally aware of this conundrum but uncertain about whether and how the cost of care should affect their recommendations.14 Although raising awareness of costs and providing tools to assess value may help to manage costs while maintaining high-quality care, some oncologists see this as being in conflict with their duty to individual patients.15 Recent American Society of Clinical Oncology Efforts Motivated by our responsibility to help oncologists deliver the highest-quality care to patients everywhere, the American Society of Clinical Oncology (ASCO) formed the Task Force on the Cost of Cancer Care in 2007. Its mission includes educating oncologists about the importance of discussing costs associated with recommended treatments, empowering patients to ask questions pertaining to the anticipated costs of their treatment options, identifying the drivers of the rising costs of cancer care, and ultimately developing policy positions that will help Americans move toward more equal access to the highest-quality care at the lowest cost.16 In 2012, through the work of the Task Force, ASCO responded to the Choosing Wisely Campaign of the American Board of Internal Medicine Foundation and identified specific instances of overuse in the delivery of cancer care. ASCO used a deliberative consensus process to identify five common clinical practices that are not supported by high-level evidence. A second list of five was developed using the same process and submitted to the Choosing Wisely Campaign in 2013. ASCO amplified the evidence basis for both top-five lists in two publications17,18 and is now developing measures to evaluate the use of these practices as part of its Quality Oncology Practice Initiative. These exercises have provided opportunities to develop a rigorous but flexible approach to assessing efficacy across diagnostic and treatment domains.

Development, implementation, and initial evaluation of a foundational open interoperability standard for oncology treatment planning and summarization

The mission of American Society of Clinical Oncology (ASCO) is to conquer cancer through research, education, and promotion of the highest quality patient care. Toward fulfillment of this goal and at the direction of its board of directors, the ASCOValue in Cancer Care Task Force set out to develop a framework that would enable a physician and patient to assess the value of a particular cancer treatment regimen given the patient’s individual preferences and circumstances. The rationale that served as the impetus for this initiative is many faceted. Substantial progress has been made in translating our knowledge of the biologic characteristics of cancer into novel therapies. Some of these therapies have led to major improvements in outcomes for specific diseases, and others have produced only modest advances. There is now a wide array of choices for treating many cancer types, and these treatment choices often differ by only small degrees in clinical effectiveness and toxicity. Yet, there is often a wide disparity in cost to patients and payers. Because patients are often confronted with enormous expenses when receiving cancer care, the goal of describing a relationship between the cost of an agent or regimen and the clinical benefits it delivers takes on great importance. As the primary advisor to the patient, the oncologist has an important role in providing a comparative assessment of the various treatment options available; in the spirit of shared decision making, the patient should have transparent information about the clinical impact that can be expected from the different options presented and their relative financial implications. The value framework has been constructed as a conceptual model that incorporates the elements of clinical benefit, toxicity, and symptom palliation as derived from a comparative clinical trial and combines these elements into a score termed the net health benefit (NHB). Ultimately, deployment of the framework as a software application is planned, enabling a patient to modify the weight attributed to any of the elements included in the NHB depending on his or her personal preferences and circumstances. The final NHB will therefore reflect the priorities that are most important to the patient and will be arrived at through guidance from the physician. Information on the cost of the regimens will also be presented so the patient can consider the relative financial impact of his or her treatment options. Two versions of the framework have been created: one for advanced disease and the other for potentially curable (adjuvant therapy) clinical presentations. The original framework versions are shown in Appendix Tables A1 and A2 (online only). The key elements included in the framework— namely, clinical benefit and toxicity—are also those that are regularly reported in the scientific literature when discussing the outcome of a clinical trial that compares two or more therapies. The importance of relying on high-quality, quantifiable evidence cannot be overstated, and this is most often provided by a well-designed, well-conducted prospective randomized trial. The task force recognizes that a limitation of this approach is that it does not readily permit cross-trial comparisons. Such analyses are important to patients and remain a goal for future versions of the value framework. The task force is well aware that there are many elements that might be important to individual patients in assessing the relative value of their treatment options that are not taken into account in our model. These include the convenience of receiving therapy, the avoidance of interrupting the flow of activities of daily living, and the impact of a treatment on quality of life

Template for Reporting Results of Biomarker Testing of Specimens From Patients With Non–Small Cell Carcinoma of the Lung

An outline of broad principles that should be considered when integrating an electronic health record, and in particular, a chemotherapy ordering module, into practice.

Electronic Health Records (EHRs): Supporting ASCO's Vision of Cancer Care

Understanding of cancer outcomes is limited by data fragmentation. In the current study, the authors analyzed the information yielded by integrating breast cancer data from 3 sources: electronic medical records (EMRs) from 2 health care systems and the state registry.

The Burden of Cancer in Asian Americans: A Report of National Mortality Trends by Asian Ethnicity.

OBJECTIVE Develop and evaluate a foundational oncology-specific standard for the communication and coordination of care throughout the cancer journey, with early-stage breast cancer as the use case. MATERIALS AND METHODS Owing to broad uptake of the Health Level Seven (HL7) Consolidated Clinical Document Architecture (C-CDA) by health information exchanges and large provider organizations, we developed an implementation guide in congruence with C-CDA. The resultant product was balloted through the HL7 process and subsequently implemented by two groups: the Health Story Project (Health Story) and the Athena Breast Health Network (Athena). RESULTS The HL7 Implementation Guide for CDA, Release 2: Clinical Oncology Treatment Plan and Summary, DSTU Release 1 (eCOTPS) was successfully balloted and published as a Draft Standard for Trial Use (DSTU) in October 2013. Health Story successfully implemented the eCOTPS the 2014 meeting of the Healthcare Information and Management Systems Society (HIMSS) in a clinical vignette. During the evaluation and implementation of eCOPS, Athena identified two practical concerns: (1) the need for additional CDA templates specific to their use case; (2) the many-to-many mapping of Athena-defined data elements to eCOTPS. DISCUSSION Early implementation of eCOTPS has demonstrated successful vendor-agnostic transmission of oncology-specific data. The modularity enabled by the C-CDA framework ensures the relatively straightforward expansion of the eCOTPS to include other cancer subtypes. Lessons learned during the process will strengthen future versions of the standard. CONCLUSION eCOTPS is the first oncology-specific CDA standard to achieve HL7 DSTU status. Oncology standards will improve care throughout the cancer journey by allowing the efficient transmission of reliable, meaningful, and current clinical data between the many involved stakeholders.

Knowledge Bases, Clinical Decision Support Systems, and Rapid Learning in Oncology

The College of American Pathologists offers these templates to assist pathologists in providing clinically useful and relevant information when reporting results of biomarker testing. The College regards the reporting elements in the templates as important elements of the biomarker test report, but the manner in which these elements are reported is at the discretion of each specific pathologist, taking into account clinician preferences, institutional policies, and individual practice. The College developed these templates as educational tools to assist pathologists in the useful reporting of relevant information. It did not issue them for use in litigation, reimbursement, or other contexts. Nevertheless, the College recognizes that the templates might be used by hospitals, attorneys, payers, and others. The College cautions that use of the templates other than for their intended educational purpose may involve additional considerations that are beyond the scope of this document.

Genetic Cancer Susceptibility Testing: Increased Technology, Increased Complexity

ASCOs vision for cancer care in 2030 is built on the expanding importance of panomics and big data, and envisions enabling better health for patients with cancer by the rapid transformation of systems biology knowledge into cancer care advances. This vision will be heavily dependent on the use of health information technology for computational biology and clinical decision support systems (CDSS). Computational biology will allow us to construct models of cancer biology that encompass the complexity of cancer panomics data and provide us with better understanding of the mechanisms governing cancer behavior. The Agency for Healthcare Research and Quality promotes CDSS based on clinical practice guidelines, which are knowledge bases that grow too slowly to match the rate of panomic-derived knowledge. CDSS that are based on systems biology models will be more easily adaptable to rapid advancements and translational medicine. We describe the characteristics of health data representation, a model for representing molecular data that supports data extraction and use for panomic-based clinical research, and argue for CDSS that are based on systems biology and are algorithm-based.