Long Christopher R, Yaroch Amy L, Shanks Carmen Byker, Short Eliza, Mitchell Elise, Stotz Sarah A, Seligman Hilary K
Gretchen Swanson Center for Nutrition, Omaha, NE, USA.
Gretchen Swanson Center for Nutrition, Omaha, NE, USA.
Adv Nutr. 2024 Apr;15(4):100192. doi: 10.1016/j.advnut.2024.100192. Epub 2024 Feb 23.
Government, health care systems and payers, philanthropic entities, advocacy groups, nonprofit organizations, community groups, and for-profit companies are presently making the case for Food is Medicine (FIM) nutrition programs to become reimbursable within health care services. FIM researchers are working urgently to build evidence for FIM programs' cost-effectiveness by showing improvements in health outcomes and health care utilization. However, primary collection of this data is costly, difficult to implement, and burdensome to participants. Electronic health records (EHRs) offer a promising alternative to primary data collection because they provide already-collected information from existing clinical care. A few FIM studies have leveraged EHRs to demonstrate positive impacts on biomarkers or health care utilization, but many FIM studies run into insurmountable difficulties in their attempts to use EHRs. The authors of this commentary serve as evaluators and/or technical assistance providers with the United States Department of Agriculture's Gus Schumacher Nutrition Incentive Program National Training, Technical Assistance, Evaluation, and Information Center. They work closely with over 100 Gus Schumacher Nutrition Incentive Program Produce Prescription FIM projects, which, as of 2023, span 34 US states and territories. In this commentary, we describe recurring challenges related to using EHRs in FIM evaluation, particularly in relation to biomarkers and health care utilization. We also outline potential opportunities and reasonable expectations for what can be learned from EHR data and describe other (non-EHR) data sources to consider for evaluation of long-term health outcomes and health care utilization. Large integrated health systems may be best positioned to use their own data to examine outcomes of interest to the broader field.
政府、医疗保健系统及支付方、慈善实体、倡导团体、非营利组织、社区团体和营利性公司目前都在为“食物即药物”(FIM)营养项目争取在医疗服务中获得报销资格。FIM研究人员正迫切努力,通过展示健康结果和医疗保健利用率的改善,来为FIM项目的成本效益建立证据。然而,这些数据的原始收集成本高昂、难以实施,且给参与者带来负担。电子健康记录(EHR)为原始数据收集提供了一个有前景的替代方案,因为它们提供了来自现有临床护理的已收集信息。一些FIM研究已经利用EHR来证明对生物标志物或医疗保健利用率的积极影响,但许多FIM研究在尝试使用EHR时遇到了无法克服的困难。本评论的作者担任美国农业部格斯·舒马赫营养激励计划国家培训、技术援助、评估和信息中心的评估员和/或技术援助提供者。他们与100多个格斯·舒马赫营养激励计划农产品处方FIM项目密切合作,截至2023年,这些项目覆盖美国34个州和领地。在本评论中,我们描述了在FIM评估中使用EHR时反复出现的挑战,特别是与生物标志物和医疗保健利用率相关的挑战。我们还概述了从EHR数据中可以学到的潜在机会和合理期望,并描述了用于评估长期健康结果和医疗保健利用率的其他(非EHR)数据源。大型综合医疗系统可能最有能力利用自身数据来研究更广泛领域感兴趣的结果。