Kottschade, Lisa A

PURPOSE Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, yet their use is associated with immune-related adverse events (irAEs). Estimating the prevalence and patient impact of these irAEs in the real-world data setting is critical for characterizing the benefit/risk profile of ICI therapies beyond the clinical trial population. Diagnosis codes, such as International Classification of Diseases codes, do not comprehensively illustrate a patient's care journey and offer no insight into drug-irAE causality. This study aims to capture the relationship between ICIs and irAEs more accurately by using augmented curation (AC), a natural language processing–based innovation, on unstructured data in electronic health records. METHODS In a cohort of 9,290 patients treated with ICIs at Mayo Clinic from 2005 to 2021, we compared the prevalence of irAEs using diagnosis codes and AC models, which classify drug-irAE pairs in clinical notes with implied textual causality. Four illustrative irAEs with high patient impact—myocarditis, encephalitis, pneumonitis, and severe cutaneous adverse reactions, abbreviated as MEPS—were analyzed using corticosteroid administration and ICI discontinuation as proxies of severity. RESULTS For MEPS, only 70% (n = 118) of patients found by AC were also identified by diagnosis codes. Using AC models, patients with MEPS received corticosteroids for their respective irAE 82% of the time and permanently discontinued the ICI because of the irAE 35.9% (n = 115) of the time. CONCLUSION Overall, AC models enabled more accurate identification and assessment of patient impact of ICI-induced irAEs not found using diagnosis codes, demonstrating a novel and more efficient strategy to assess real-world clinical outcomes in patients treated with ICIs.

PURPOSE Oncology advanced practice providers (APPs), including nurse practitioners, clinical nurse specialists, physician assistants, and clinical pharmacists, contribute significantly to quality cancer care. Understanding the research-related roles of APPs in the National Cancer Institute's (NCI) Community Oncology Research Program (NCORP) could lead to enhanced protocol development, trial conduct, and accrual. METHODS The 2022 NCORP Landscape Assessment Survey asked two questions about the utilization and roles of APPs in the NCORP. RESULTS A total of 271 practice groups completed the 2022 survey, with a response rate of 90%. Of the 259 nonpediatric exclusive practice groups analyzed in this study, 92% used APPs for clinical care activities and 73% used APPs for research activities. APPs most often provided clinical care for patients enrolled in trials (97%), followed by assistance with coordination (65%), presenting/explaining clinical trials (59%), screening patients (49%), ordering investigational drugs (37%), and consenting participants (24%). Some groups reported APPs as an enrolling investigator (18%) and/or participating in institutional oversight/selection of trials (15%). Only 5% of NCORP sites reported APPs as a site primary investigator for trials, and very few (3%) reported APPs participating in protocol development. CONCLUSION Practice groups report involving APPs in clinical research within the NCORP network; however, opportunities for growth exists. As team-based care has enhanced clinical practice in oncology, this same approach can be used to enhance successful research. Suggested strategies include supporting APP research-related time, recognition, and education. The findings of this survey and subsequent recommendations may be applied to all adult oncology practices that participate in clinical research.

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PURPOSE There is increasing interest in implementing digital systems for remote monitoring of patients’ symptoms during routine oncology practice. Information is limited about the clinical utility and user perceptions of these systems. METHODS PRO-TECT is a multicenter trial evaluating implementation of electronic patient-reported outcomes (ePROs) among adults with advanced and metastatic cancers receiving treatment at US community oncology practices (ClinicalTrials.gov identifier: NCT03249090 ). Questions derived from the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) are administered weekly by web or automated telephone system, with alerts to nurses for severe or worsening symptoms. To elicit user feedback, surveys were administered to participating patients and clinicians. RESULTS Among 496 patients across 26 practices, the majority found the system and questions easy to understand (95%), easy to use (93%), and relevant to their care (91%). Most patients reported that PRO information was used by their clinicians for care (70%), improved discussions with clinicians (73%), made them feel more in control of their own care (77%), and would recommend the system to other patients (89%). Scores for most patient feedback questions were significantly positively correlated with weekly PRO completion rates in both univariate and multivariable analyses. Among 57 nurses, most reported that PRO information was helpful for clinical documentation (79%), increased efficiency of patient discussions (84%), and was useful for patient care (75%). Among 39 oncologists, most found PRO information useful (91%), with 65% using PROs to guide patient discussions sometimes or often and 65% using PROs to make treatment decisions sometimes or often. CONCLUSION These findings support the clinical utility and value of implementing digital systems for monitoring PROs, including the PRO-CTCAE, in routine cancer care.