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Piloting a Financial Counseling Intervention for Patients With Cancer Receiving Chemotherapy
Author(s) -
Sheetal Kircher,
Jessica Lee Yarber,
Josh Rutsohn,
Yanina Guevara,
Madison Lyleroehr,
Hannah Alphs Jackson,
Jessica Walradt,
Bijal Desai,
Mary F. Mulcahy,
Aparna Kalyan,
Al B. Benson,
Mark Agulnik,
Nisha Mohindra,
Jonas DeSouza,
Sofia F. Garcia
Publication year - 2019
Publication title -
journal of oncology practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.555
H-Index - 60
eISSN - 1935-469X
pISSN - 1554-7477
DOI - 10.1200/jop.18.00270
Subject(s) - medicine , attrition , intervention (counseling) , phone , distress , family medicine , health care , quality of life (healthcare) , odds , nursing , logistic regression , clinical psychology , philosophy , linguistics , dentistry , economics , economic growth
Purpose: National organizations encourage communication about costs of cancer care; however, few data are available on health system models for identifying and assisting patients with financial distress (FD). We report the feasibility and acceptability of a financial counseling (FC) intervention for patients who receive chemotherapy at a comprehensive cancer center.Materials and Methods: Patients were randomly assigned 1:1 to FC or standard care. The FC arm received education, financial assistance screening, and an estimation tool with total billed charges and out-of-pocket (OOP) cost of one cycle of chemotherapy from a financial counselor through phone call and in-person visit. Participants completed measures of FD, health-related quality of life, and acceptability.Results: Ninety-five participants enrolled (mean age, 61 years; 72% white; 50% commercially insured), with a 32% attrition rate between assessments. Rates of completion for the phone call, in-person, and entire intervention were 98%, 47%, and 30%, respectively. The OOP estimation tool was considered understandable and acceptable to the majority of participants. No significant changes in FD were found between arms. Emotional functioning was negatively associated with having high FD (95% CI, −0.13379 to −0.013; P = .0189). Being married was associated with a decrease in log-odds of having high FD (β = −1.916; 95% CI, −3.358 to −0.475; P = .0092).Conclusion: Implementation of an FC program that provides transparent cost data is feasible and acceptable. Incorporation of FC into clinical workflow, including phone counseling, is important to improve feasibility. Additional work is needed to develop tailored educational materials that are patient specific.

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