Nishant Uppal , Jordan M. Broekhuis , Jorge L. Gomez-Mayorga , Hao Wei Chen , Natalia Chaves , Benjamin C. James
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引用次数: 0
Abstract
Purpose
To measure rates of patient-reported financial burden, compare them across cancer types, and determine whether they are predictive of catastrophic health expenditures (CHE).
Methods
We extracted data from the Medical Expenditures Panel Survey from 2011 to 2017 to conduct a retrospective population-based cohort study and multivariable logistic regression to assess the financial burden of cancer across 16 cancer types and compare patient-reported metrics to CHE rates.
Results
Patients with ovarian cancer were most likely to report inability paying bills (34.5 %) and filing for bankruptcy (9.4 %), while patients with thyroid cancer were most likely to incur debt (22.4 %). Patients with kidney cancer had the highest mean debt ($46,915). CHEs were independently predicted by inability to pay medical bills (OR [95 % CI], 1.96 [1.14–3.35]) and bankruptcy filing (OR [95 % CI], 3.90 [1.21–12.60].
Conclusions and implications
We report important variations in the financial burden across cancer types and underscore the importance of assessing how patient-reported measures are related to CHEs. Policy implications. The financial burden of cancer care could explain the lack of improved outcomes with increased national health spending.
期刊介绍:
HealthCare: The Journal of Delivery Science and Innovation is a quarterly journal. The journal promotes cutting edge research on innovation in healthcare delivery, including improvements in systems, processes, management, and applied information technology.
The journal welcomes submissions of original research articles, case studies capturing "policy to practice" or "implementation of best practices", commentaries, and critical reviews of relevant novel programs and products. The scope of the journal includes topics directly related to delivering healthcare, such as:
● Care redesign
● Applied health IT
● Payment innovation
● Managerial innovation
● Quality improvement (QI) research
● New training and education models
● Comparative delivery innovation