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Background: Oral anticancer agents (OAAs) transformed cancer care for patients, extending survival and delaying progression in certain cases. There are multiple pharmacy-driven models to improve patient knowledge and adherence to OAAs. However, a lack of measurable key performance indicators (KPIs) has limited the adoption, implementation, and maintenance of these models. The objective of this study was to identify a set of KPIs, their metrics, and the target values that indicated improved patient care through an OAA adherence program. Methods: A literature review was conducted to identify an initial list of defined KPIs, metrics of the KPIs, and targets for success. We assembled an advisory panel of clinicians (n=9), administrators (n=7), and patients (n=2) from across an academic and affiliated community cancer center to gauge agreement on identified KPIs for use within a structured adherence intervention. We used a Qualtrics survey consisting of questions measured using a 5-point Likert scale response that ranged from 1 (strongly disagree) to 5 (strongly agree) and a subsequent consensus-building discussion with the advisory panel to identify agreeability with the definitions, metrics, and targets of identified KPIs. Results: Eleven KPIs were identified: (1) time to intended OAA initiation; (2) adherence rate during active treatment; (3) adverse events; (4) medication-related financial toxicity; (5) patient satisfaction; (6) treatment-related emergency department visits; (7) treatment-related hospital admissions; (8) proportion of patients with adherence, toxicity, and financial barriers assessed; (9) proportion of patients referred to social work; (10) time spent by patient in each phase of care as defined by the intervention’s standard operating procedure; and (11) revenue generated by billing for service. Conclusions: This study identified 11 KPIs that can be used in evaluating the success of an OAA adherence program. Use of these KPIs will be piloted after formal implementation of the program in both academic and community cancer centers.

Background: The high economic burden of cancer is projected to continue growing. Cost-of-care estimates are key inputs for comparative effectiveness and economic analyses that aim to inform policies associated with cancer care. Existing estimates are based largely on SEER-Medicare data in the elderly, leaving a knowledge gap regarding costs for patients aged <65 years. Methods: We estimated total and net medical care costs using data on individuals diagnosed with breast, colorectal, lung, or prostate cancer (n=45,522) and noncancer controls (n=314,887) enrolled in 1 of 4 participating health plans. Net costs were defined as the difference in mean total costs between patients with cancer and controls. The phase-of-care approach and Kaplan-Meier Sample Average method were used to estimate mean total and net 1- and 5-year costs (in 2015 US dollars) by cancer site, stage at diagnosis, and age group (<65 and ≥65 years). Results: Total and net costs were consistently highest for lung cancer and lowest for prostate cancer. Net costs were higher across all cancer sites for patients aged <65 years than those aged ≥65 years. Medical care costs for all cancers increased with advanced stage at diagnosis. Conclusions: This study improves understanding of medical care costs for the 4 most common invasive cancers in the United States. Higher costs among patients aged <65 years highlight limitations of relying on SEER-Medicare data alone to understand the national burden of cancer, whereas higher costs for patients with advanced-stage cancer underscore the importance of early detection to curtail high long-term costs. These cost estimates can be used in the development and evaluation of interventions and policies across the cancer care continuum.