Implementation of Systematic Financial Screening in an Outpatient Breast Oncology Setting

JCO CLINICAL CANCER INFORMATICS(2023)

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摘要
PURPOSE Implementation of routine financial screening is a critical step toward mitigating financial toxicity. We evaluated the feasibility, sustainability, and acceptability of systematic financial screening in the outpatient breast oncology clinic at a large, urban cancer center. METHODS We developed and implemented a stakeholder-informed process to systematically screen for financial hardship and worry. A 2-item assessment in English or Spanish was administered to patients through the electronic medical record portal or using paper forms. We evaluated completion rates and mode of completion. Through feedback from patients, clinicians, and staff, we identified strategies to improve completion rates and acceptability. RESULTS From March, 2021, to February, 2022, 3,500 patients were seen in the breast oncology clinic. Of them, 39% (n = 1,349) responded to the screening items, either by paper or portal, 12% (n = 437) preferred not to answer, and the remaining 49% (n = 1,714) did not have data in their electronic health record, meaning they were not offered screening or did not complete the paper forms. Young adults (18-39 years) were more likely to respond compared with patients 70 years or older (61% v 30%, P,.01). English-preferring patients were more likely to complete the screening compared with those who preferred Spanish (46% v 28%, P < .01). Non-Hispanic White patients were more likely to respond compared with Non-Hispanic Black patients and with Hispanic patients (46% v 39% v 32%, P < .01). Strategies to improve completion rates included partnering with staff to facilitate paper form administration, optimizing patient engagement with the portal, and clearly communicating the purpose of the screening. CONCLUSION Systematic financial screening is feasible, and electronic data capture facilitates successful implementation. However, inclusive procedures that address language and technology preferences are needed to optimize screening.
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