医学
人口
干预(咨询)
肠外营养
重症监护医学
医疗保健
医学营养疗法
家庭医学
环境卫生
护理部
经济增长
经济
作者
Renay Tyler,Albert Barrocas,Peggi Guenter,Krysmarú Araujo Torres,Matthew L. Bechtold,Lingtak‐Neander Chan,Bryan R. Collier,Nilsa A. Collins,David C. Evans,Karim Godamunne,Cindy W. Hamilton,Beverly Hernandez,Jay M. Mirtallo,William J. Nadeau,Jamie Partridge,Moreno Perugini,Angel F. Valladares
摘要
Abstract Objective Healthcare leaders seek guidance on prudent investment in programs that improve patient outcomes and reduce costs, which includes the value of nutrition therapy. The purpose of this project was to conduct an evidence review and evaluate claims analyses to understand the financial and quality impact of nutrition support therapy on high‐priority therapeutic conditions. Methods Task 1 included a review of existing literature from 2013 to 2018 to identify evidence that demonstrated the clinical and economic impact of nutrition intervention on patient outcomes across 13 therapeutic areas (TAs). In Task 2, analytic claims modeling was performed using the Medicare Parts A and B claims 5% sample dataset. Beneficiaries diagnosed in 5 selected TAs (sepsis, gastrointestinal [GI] cancer, hospital‐acquired infections, surgical complications, and pancreatitis) were identified in the studies from Task 1, and their care costs were modeled based on nutrition intervention. Results Beginning with 1099 identified articles, 43 articles met the criteria, with a final 8 articles used for the Medicare claims modeling. As examples of the modeling demonstrated, the use of advanced enteral nutrition formula could save at least $52 million annually in a sepsis population. The total projected annual cost savings from the 5 TAs was $580 million. Conclusion Overall, optimization of nutrition support therapy for specific patient populations is estimated to reduce Medicare spending by millions of dollars per year across key TAs. These findings demonstrate the evidence‐based value proposition of timely nutrition support to improve clinical outcomes and yield substantial cost savings.
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