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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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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. |
format | Online Article Text |
id | pubmed-9134408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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