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Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc · 2024

Controlled CMS Data Demonstrates a Cost and Clinical Advantage for Hyperbaric Oxygen for Radiation Cystitis.

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Feldmeier John J, Kirby John P, Gelly Helen B, Robins Marc, Peters John, Gruhn Peter, Pal Sarmistha

Аннотация

INTRODUCTION: Increasing cancer survivorship, in part due to new radiation treatments, has created a larger population at risk for delayed complications of treatment. Radiation cystitis continues to occur despite targeted radiation techniques.

MATERIALS AND METHODS: To investigate value-based care applying hyperbaric oxygen (HBO2) to treat delayed radiation cystitis, we reviewed public-access Medicare data from 3,309 patients from Oct 1, 2014, through Dec 31, 2019. Using novel statistical modeling, we compared cost and clinical effectiveness in a hyperbaric oxygen group to a control group receiving conventional therapies.

RESULTS: Treatment in the hyperbaric group provided a 36% reduction in urinary bleeding, a 78% reduced frequency of blood transfusion for hematuria, a 31% reduction in endoscopic procedures, and fewer hospitalizations when study patients were compared to control. There was a 53% reduction in mortality and reduced unadjusted Medicare costs of $5,059 per patient within the first year after completion of HBO2 treatment per patient. When at least 40 treatments were provided, cost savings per patient increased to $11,548 for the HBO2 study group compared to the control group. This represents a 37% reduction in Medicare spending for the HBO2-treated group. We also validate a dose-response curve effect with a complete course of 40 or more HBO2 treatments having better clinical outcomes than those treated with fewer treatments.

CONCLUSION: These data support previous studies that demonstrate clinical benefits now with cost- effectiveness when adjunctive HBO2 treatments are added to routine interventions. The methodology provides a comparative group selected without bias. It also provides validation of statistical modeling techniques that may be valuable in future analysis, complementary to more traditional methods.

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ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты