Carroll, Cibele B

PURPOSE We sought to evaluate the patterns of portal usage among patients with cancer who regularly log in to the portal. These data will inform approaches to facilitate portal use among patients with cancer. PATIENTS AND METHODS We conducted a retrospective analysis of patient portal usage by patients with cancer at the University of Wisconsin Carbone Cancer Center. Our analysis focuses on patterns of portal use by regular users (≥ 2 portal logins/year, > 3 months) receiving ongoing oncology care between January 1, 2017, and December 31, 2019. Demographics, cancer characteristics, number of oncology visits per month, and portal usage data were extracted. Regular portal users were grouped and compared on the basis of their frequency of use. A linear mixed-effects model was used to determine if the frequency of oncology visits influenced the number of logins. RESULTS We identified 2076 regular portal users. The median number of portal logins/year was 72 for the entire cohort. Age and race were associated with frequency of portal logins. There was no difference in frequency of portal login on the basis of cancer type or stage. Each additional oncology office visit in a month increased the frequency of portal logins by 3.05 ± 0.11 (SE) within the same month. Messages and test result functionalities were used by 98.7% and 98.9% of the regular users, respectively. Regular users who logged in to portal more frequently used all five studied portal functionalities. CONCLUSION Patients with cancer who use portals regularly use it more in proximity to an oncology office visit and use multiple available portal functionalities. These findings can direct strategic planning to facilitate portal utilization among those not engaged with this tool.

Purpose: Anthracyclines can cause long-term cardiovascular (CV) morbidity, especially in long-term Adolescent and Young Adult (AYA) lymphoma survivors. Pre-treatment left ventricular ejection fraction (LVEF) evaluation is recommended, although its utility in AYA is not established. We sought to determine the pre-treatment LVEF assessment practices in AYA lymphoma survivors treated with anthracyclines and factors associated with long-term cardiotoxicity. Methods: Through an electronic health records review, we retrospectively identified AYA lymphoma survivors with ≥5 years of follow-up postanthracycline treatment. Pre-treatment and follow-up data were abstracted. CV health conditions were defined as risk factors for CV disease and confirmed CV diagnoses. Survivors who had new CV health conditions at follow-up were compared to those who were not using descriptive statistics and logistic regression. Results: One hundred fifteen AYA lymphoma survivors met the study criteria. Pre-treatment LVEF assessment did not affect chemotherapy decisions. Survivors with pre-treatment CV evaluation had mean follow-up since diagnosis of 8 ± 3.3 years, while survivors without it had 10.3 ± 4.2 years, p < 0.05. Survivors with pre-treatment LVEF assessment received lower cumulative anthracycline dose (240.4 mg/m 2 vs. 280.1 mg/m 2 , p < 0.05) and fewer cycles of chemotherapy (4.8 ± 1.5 vs. 5.6 ± 1.2, p < 0.05). Body mass index (BMI) category at diagnosis and follow-up, in addition to age were associated with development of new CV health conditions, pre-treatment LVEF evaluation was not. Conclusion: Pre-treatment LVEF assessment for AYA lymphoma survivors does not impact oncologic treatment decisions or development of CV health conditions. It may be more valuable to assess and modify CV risk factors such as BMI for CV disease prevention.

PURPOSE Structured data elements within electronic health records are health-related information that can be entered, stored, and extracted in an organized manner at later time points. Tracking outcomes for cancer survivors is also enabled by structured data. We sought to increase structured data capture within oncology practices at multiple sites sharing the same electronic health records. METHODS Applying engineering approaches and the Plan-Do-Study-Act cycle, we launched dual quality improvement initiatives to ensure that a malignant diagnosis and stage were captured as structured data. Intervention: Close Visit Validation (CVV) requires providers to satisfy certain criteria before closing ambulatory encounters. CVV may be used to track open clinical encounters and chart delinquencies to encourage optimal clinical workflows. We added two cancer-specific required criteria at the time of closing encounters in oncology clinics: (1) the presence of at least one malignant diagnosis on the Problem List and (2) staging all the malignant diagnoses on the Problem List when appropriate. RESULTS Six months before the CVV implementation, the percentage of encounters with a malignant diagnosis on the Problem List at the time of the encounter was 65%, whereas the percentage of encounters with a staged diagnosis was 32%. Three months after cancer-specific CVV implementation, the percentages were 85% and 75%, respectively. Rates had increased to 90% and 88% more than 2 years after implementation. CONCLUSION Oncologist performance improved after the implementation of cancer-specific CVV criteria, with persistently high percentages of relevant malignant diagnoses and cancer stage structured data capture 2 years after the intervention.