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A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs

Produce prescription programs within clinical care settings can address food insecurity by offering financial incentives through “prescriptions” for fruits and vegetables to eligible patients. The electronic health record (EHR) holds potential as a strategy to examine the relationship between these...

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Autores principales: Ridberg, Ronit A., Yaroch, Amy L., Nugent, Nadine Budd, Byker Shanks, Carmen, Seligman, Hilary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134408/
https://www.ncbi.nlm.nih.gov/pubmed/35603984
http://dx.doi.org/10.1177/21501319221101849
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author Ridberg, Ronit A.
Yaroch, Amy L.
Nugent, Nadine Budd
Byker Shanks, Carmen
Seligman, Hilary
author_facet Ridberg, Ronit A.
Yaroch, Amy L.
Nugent, Nadine Budd
Byker Shanks, Carmen
Seligman, Hilary
author_sort Ridberg, Ronit A.
collection PubMed
description Produce prescription programs within clinical care settings can address food insecurity by offering financial incentives through “prescriptions” for fruits and vegetables to eligible patients. The electronic health record (EHR) holds potential as a strategy to examine the relationship between these projects and participant outcomes, but no studies address EHR extraction for programmatic evaluations. We interviewed representatives of 9 grantees of the U.S. Department of Agriculture’s Gus Schumacher Nutrition Incentive Grant Program’s Produce Prescription Projects (GusNIP PPR) to understand their experiences with and capacity for utilizing EHR for evaluation. Five grantees planned to use EHR data, with 3 main strategies: reporting aggregate data from health clinics, contracting with external/third party evaluators, and accessing individual-level data. However, utilizing EHRs was prohibitive for others due to insufficient knowledge, training and/or staff capacity; lack of familiarity with the Institutional Review Board process; or was inappropriate for select target populations. Policy support for produce prescription programs requires a robust evidence base, deep knowledge of best practices, and an understanding of expected health outcomes. These insights can be most efficiently and meaningfully achieved with EHR data, which will require increased financial support and technical assistance for project operators.
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spelling pubmed-91344082022-05-27 A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs Ridberg, Ronit A. Yaroch, Amy L. Nugent, Nadine Budd Byker Shanks, Carmen Seligman, Hilary J Prim Care Community Health Commentaries Produce prescription programs within clinical care settings can address food insecurity by offering financial incentives through “prescriptions” for fruits and vegetables to eligible patients. The electronic health record (EHR) holds potential as a strategy to examine the relationship between these projects and participant outcomes, but no studies address EHR extraction for programmatic evaluations. We interviewed representatives of 9 grantees of the U.S. Department of Agriculture’s Gus Schumacher Nutrition Incentive Grant Program’s Produce Prescription Projects (GusNIP PPR) to understand their experiences with and capacity for utilizing EHR for evaluation. Five grantees planned to use EHR data, with 3 main strategies: reporting aggregate data from health clinics, contracting with external/third party evaluators, and accessing individual-level data. However, utilizing EHRs was prohibitive for others due to insufficient knowledge, training and/or staff capacity; lack of familiarity with the Institutional Review Board process; or was inappropriate for select target populations. Policy support for produce prescription programs requires a robust evidence base, deep knowledge of best practices, and an understanding of expected health outcomes. These insights can be most efficiently and meaningfully achieved with EHR data, which will require increased financial support and technical assistance for project operators. SAGE Publications 2022-05-23 /pmc/articles/PMC9134408/ /pubmed/35603984 http://dx.doi.org/10.1177/21501319221101849 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Commentaries
Ridberg, Ronit A.
Yaroch, Amy L.
Nugent, Nadine Budd
Byker Shanks, Carmen
Seligman, Hilary
A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs
title A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs
title_full A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs
title_fullStr A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs
title_full_unstemmed A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs
title_short A Case for Using Electronic Health Record Data in the Evaluation of Produce Prescription Programs
title_sort case for using electronic health record data in the evaluation of produce prescription programs
topic Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134408/
https://www.ncbi.nlm.nih.gov/pubmed/35603984
http://dx.doi.org/10.1177/21501319221101849
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