Perspective: Leveraging Electronic Health Record Data Within Food Is Medicine Program Evaluation: Considerations and Potential Paths Forward

IF 8 1区 医学 Q1 NUTRITION & DIETETICS
Christopher R Long , Amy L Yaroch , Carmen Byker Shanks , Eliza Short , Elise Mitchell , Sarah A Stotz , Hilary K Seligman
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Abstract

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.

透视:在 "食品即药品 "计划评估中利用电子健康记录数据:考虑因素和可能的前进道路。
目前,政府、医疗保健系统和付款人、慈善实体、倡导团体、非营利组织、社区团体以及营利性公司都在为 "食物即医学"(FIM)营养计划成为医疗保健服务中的可报销项目而努力。食物即医学(FIM)研究人员正在紧急开展工作,通过显示健康结果和医疗保健利用率的改善情况,为食物即医学(FIM)计划的成本效益提供证据。然而,这些数据的主要收集工作成本高昂、难以实施,而且给参与者造成负担。电子健康记录(EHR)提供了一个很有前景的替代主要数据收集的方法,因为它们提供了从现有临床护理中已经收集到的信息。少数 FIM 研究利用电子病历展示了对生物标志物或医疗保健利用率的积极影响,但许多 FIM 研究在尝试使用电子病历时遇到了难以克服的困难。本评论的作者都是美国农业部 GusNIP 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。我们与 100 多个 GusNIP 生产处方 FIM 项目密切合作,截至 2023 年,这些项目遍布美国 34 个州和地区。在这篇评论中,我们描述了在 FIM 评估中使用电子病历经常遇到的挑战,特别是与生物标志物和医疗保健利用有关的挑战。我们还概述了从电子病历数据中可以了解到的潜在机遇和合理预期,并介绍了在评估长期健康结果和医疗保健利用率时需要考虑的其他(非电子病历)数据源。大型综合医疗系统可能最适合使用自己的数据来检查更广泛领域所关注的结果。意义说明:这篇《视角》文章描述了在 FIM 评估中使用电子病历经常遇到的挑战,特别是与生物标记物和医疗保健利用率有关的挑战。本文还概述了从电子病历数据中可了解到的潜在机遇和合理期望,并介绍了在评估长期健康结果和医疗保健利用率时应考虑的其他(非电子病历)数据来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Nutrition
Advances in Nutrition 医学-营养学
CiteScore
17.40
自引率
2.20%
发文量
117
审稿时长
56 days
期刊介绍: Advances in Nutrition (AN/Adv Nutr) publishes focused reviews on pivotal findings and recent research across all domains relevant to nutritional scientists and biomedical researchers. This encompasses nutrition-related research spanning biochemical, molecular, and genetic studies using experimental animal models, domestic animals, and human subjects. The journal also emphasizes clinical nutrition, epidemiology and public health, and nutrition education. Review articles concentrate on recent progress rather than broad historical developments. In addition to review articles, AN includes Perspectives, Letters to the Editor, and supplements. Supplement proposals require pre-approval by the editor before submission. The journal features reports and position papers from the American Society for Nutrition, summaries of major government and foundation reports, and Nutrient Information briefs providing crucial details about dietary requirements, food sources, deficiencies, and other essential nutrient information. All submissions with scientific content undergo peer review by the Editors or their designees prior to acceptance for publication.
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