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Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study

BACKGROUND: Food prescription programs are gaining interest from funders, policy makers, and healthcare payers as a way to provide value-based care. A small body of research suggests that such programs effectively impact health outcomes; however, the quality of existing studies is variable, and most...

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Autores principales: Ranjit, Nalini, Aiyer, Jennifer N., Toups, Jack D., Liew, Esther, Way, Kenia, Brown, Henry Shelton, McWhorter, John Wesley, Sharma, Shreela V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921309/
https://www.ncbi.nlm.nih.gov/pubmed/36765390
http://dx.doi.org/10.1186/s13104-023-06280-8
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author Ranjit, Nalini
Aiyer, Jennifer N.
Toups, Jack D.
Liew, Esther
Way, Kenia
Brown, Henry Shelton
McWhorter, John Wesley
Sharma, Shreela V.
author_facet Ranjit, Nalini
Aiyer, Jennifer N.
Toups, Jack D.
Liew, Esther
Way, Kenia
Brown, Henry Shelton
McWhorter, John Wesley
Sharma, Shreela V.
author_sort Ranjit, Nalini
collection PubMed
description BACKGROUND: Food prescription programs are gaining interest from funders, policy makers, and healthcare payers as a way to provide value-based care. A small body of research suggests that such programs effectively impact health outcomes; however, the quality of existing studies is variable, and most studies use small samples. This study attempts to address these gaps by utilizing a quasi-experimental design with non-equivalent controls, to evaluate clinical outcomes among participants enrolled in a food prescription program implemented at scale. METHODS: We completed a secondary analysis of participant enrollment and utilization data collected between May 2018 and March 2021, by the Houston Food Bank as part of its multi-institution food prescription program. Enrollment data was obtained from 16 health care partners and redemption data from across 40 food pantries in Houston, Texas. Our objective was to assess if program participation impacted multiple cardio-metabolic markers. Exposure was defined as any visit to a food pantry after receipt of prescription. Linear and logistic regression models were used to estimate change in outcomes by exposure status and number of food pantry visits. RESULTS: Exposed patients experienced a −0.28% (p = 0.007) greater change in HbA1c than unexposed patients, over six months. Differences across exposure categories were seen with systolic blood pressure (−3.2, p < 0.001) and diastolic blood pressure (−2.5, p = 0.028), over four months. The odds of any decline in HbA1c (OR = 1.06 per visit, p < 0.001) and clinically meaningful decline in HbA1c (OR = 1.04 per visit, p = 0.007) showed a linear association with visit frequency. CONCLUSIONS: Our study of a large food prescription program involving multiple health care and food pantry sites provides robust evidence of a modest decline in HbA1c levels among participants. These results confirm that food prescription programs can continue to be effective at scale, and portend well for institutionalization of such programs.
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spelling pubmed-99213092023-02-12 Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study Ranjit, Nalini Aiyer, Jennifer N. Toups, Jack D. Liew, Esther Way, Kenia Brown, Henry Shelton McWhorter, John Wesley Sharma, Shreela V. BMC Res Notes Research Note BACKGROUND: Food prescription programs are gaining interest from funders, policy makers, and healthcare payers as a way to provide value-based care. A small body of research suggests that such programs effectively impact health outcomes; however, the quality of existing studies is variable, and most studies use small samples. This study attempts to address these gaps by utilizing a quasi-experimental design with non-equivalent controls, to evaluate clinical outcomes among participants enrolled in a food prescription program implemented at scale. METHODS: We completed a secondary analysis of participant enrollment and utilization data collected between May 2018 and March 2021, by the Houston Food Bank as part of its multi-institution food prescription program. Enrollment data was obtained from 16 health care partners and redemption data from across 40 food pantries in Houston, Texas. Our objective was to assess if program participation impacted multiple cardio-metabolic markers. Exposure was defined as any visit to a food pantry after receipt of prescription. Linear and logistic regression models were used to estimate change in outcomes by exposure status and number of food pantry visits. RESULTS: Exposed patients experienced a −0.28% (p = 0.007) greater change in HbA1c than unexposed patients, over six months. Differences across exposure categories were seen with systolic blood pressure (−3.2, p < 0.001) and diastolic blood pressure (−2.5, p = 0.028), over four months. The odds of any decline in HbA1c (OR = 1.06 per visit, p < 0.001) and clinically meaningful decline in HbA1c (OR = 1.04 per visit, p = 0.007) showed a linear association with visit frequency. CONCLUSIONS: Our study of a large food prescription program involving multiple health care and food pantry sites provides robust evidence of a modest decline in HbA1c levels among participants. These results confirm that food prescription programs can continue to be effective at scale, and portend well for institutionalization of such programs. BioMed Central 2023-02-10 /pmc/articles/PMC9921309/ /pubmed/36765390 http://dx.doi.org/10.1186/s13104-023-06280-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Ranjit, Nalini
Aiyer, Jennifer N.
Toups, Jack D.
Liew, Esther
Way, Kenia
Brown, Henry Shelton
McWhorter, John Wesley
Sharma, Shreela V.
Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study
title Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study
title_full Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study
title_fullStr Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study
title_full_unstemmed Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study
title_short Clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study
title_sort clinical outcomes of a large-scale, partnership-based regional food prescription program: results of a quasi-experimental study
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921309/
https://www.ncbi.nlm.nih.gov/pubmed/36765390
http://dx.doi.org/10.1186/s13104-023-06280-8
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