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Exploring static and dynamic relationships between burden of disease and research funding in the United States

BACKGROUND: The relationship between burden of disease and research funding has been examined cross-sectionally, but temporal patterns have not been investigated. It is logical to assume that temporal improvements in disability-adjusted life-years (DALYs) reflect benefits from research funding; such...

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Autores principales: Nimgaonkar, Alok, Mughal, Anisa Y., Heimer, Hakon, Nimgaonkar, Vishwajit, Greenstein, Dede, Wright, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164716/
https://www.ncbi.nlm.nih.gov/pubmed/35659236
http://dx.doi.org/10.1186/s12961-022-00837-y
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author Nimgaonkar, Alok
Mughal, Anisa Y.
Heimer, Hakon
Nimgaonkar, Vishwajit
Greenstein, Dede
Wright, Alexandra
author_facet Nimgaonkar, Alok
Mughal, Anisa Y.
Heimer, Hakon
Nimgaonkar, Vishwajit
Greenstein, Dede
Wright, Alexandra
author_sort Nimgaonkar, Alok
collection PubMed
description BACKGROUND: The relationship between burden of disease and research funding has been examined cross-sectionally, but temporal patterns have not been investigated. It is logical to assume that temporal improvements in disability-adjusted life-years (DALYs) reflect benefits from research funding; such assumptions are tempered by an unknown lag time for emergence of benefits from research. METHODS: We studied National Institutes of Health (NIH) research fund allocations and United States DALY estimates for overlapping disease categories (matched disease categories, MDC, N = 38). Using a general linear model, we separately analysed DALYs for MDCs in 2017 in relation to NIH research allocations in 2017 and 2007. We also examined how changes in DALYs were related to cumulative NIH research funding (2006–2017). After regressing DALY change on summed funding, we obtained model residuals as estimates of the discrepancy for each MDC between observed and expected change in burden, given funding. RESULTS: In 2017, there was a positive association between NIH research fund allocations and DALYs for the same year (F(1,36) = 16.087, p = 0.0002921; slope = 0.35020; model R(2) = 0.3088), suggesting proportionate allocation. There was a positive association between 2017 DALYs and 2007 NIH research allocation, implying a beneficial impact of research (F(1,36) = 15.754, p = 0.0003; slope = 0.8845; model R(2) = 0.3044). In contrast, there was a nonsignificant association between summed NIH funding and percent change in DALYs over 2006–2017 (F(1,36) = 0.199; p = 0.65; beta coefficient = −1.144). When MDCs were ordered based on residuals, HIV/AIDS ranked first. Mental, neurologic or substance abuse (MNS) disorders comprised most residuals in the lower half. CONCLUSIONS: NIH fund allocation is proportional to DALYs for MDCs. Temporal changes in DALYs vary by MDCs, but they are not significantly related to cumulative research outlays. Further analysis of temporal changes in DALYs could help to inform research outlays for MDCs and to study the impact of research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-022-00837-y.
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spelling pubmed-91647162022-06-05 Exploring static and dynamic relationships between burden of disease and research funding in the United States Nimgaonkar, Alok Mughal, Anisa Y. Heimer, Hakon Nimgaonkar, Vishwajit Greenstein, Dede Wright, Alexandra Health Res Policy Syst Research BACKGROUND: The relationship between burden of disease and research funding has been examined cross-sectionally, but temporal patterns have not been investigated. It is logical to assume that temporal improvements in disability-adjusted life-years (DALYs) reflect benefits from research funding; such assumptions are tempered by an unknown lag time for emergence of benefits from research. METHODS: We studied National Institutes of Health (NIH) research fund allocations and United States DALY estimates for overlapping disease categories (matched disease categories, MDC, N = 38). Using a general linear model, we separately analysed DALYs for MDCs in 2017 in relation to NIH research allocations in 2017 and 2007. We also examined how changes in DALYs were related to cumulative NIH research funding (2006–2017). After regressing DALY change on summed funding, we obtained model residuals as estimates of the discrepancy for each MDC between observed and expected change in burden, given funding. RESULTS: In 2017, there was a positive association between NIH research fund allocations and DALYs for the same year (F(1,36) = 16.087, p = 0.0002921; slope = 0.35020; model R(2) = 0.3088), suggesting proportionate allocation. There was a positive association between 2017 DALYs and 2007 NIH research allocation, implying a beneficial impact of research (F(1,36) = 15.754, p = 0.0003; slope = 0.8845; model R(2) = 0.3044). In contrast, there was a nonsignificant association between summed NIH funding and percent change in DALYs over 2006–2017 (F(1,36) = 0.199; p = 0.65; beta coefficient = −1.144). When MDCs were ordered based on residuals, HIV/AIDS ranked first. Mental, neurologic or substance abuse (MNS) disorders comprised most residuals in the lower half. CONCLUSIONS: NIH fund allocation is proportional to DALYs for MDCs. Temporal changes in DALYs vary by MDCs, but they are not significantly related to cumulative research outlays. Further analysis of temporal changes in DALYs could help to inform research outlays for MDCs and to study the impact of research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-022-00837-y. BioMed Central 2022-06-03 /pmc/articles/PMC9164716/ /pubmed/35659236 http://dx.doi.org/10.1186/s12961-022-00837-y Text en © The Author(s) 2022 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
Nimgaonkar, Alok
Mughal, Anisa Y.
Heimer, Hakon
Nimgaonkar, Vishwajit
Greenstein, Dede
Wright, Alexandra
Exploring static and dynamic relationships between burden of disease and research funding in the United States
title Exploring static and dynamic relationships between burden of disease and research funding in the United States
title_full Exploring static and dynamic relationships between burden of disease and research funding in the United States
title_fullStr Exploring static and dynamic relationships between burden of disease and research funding in the United States
title_full_unstemmed Exploring static and dynamic relationships between burden of disease and research funding in the United States
title_short Exploring static and dynamic relationships between burden of disease and research funding in the United States
title_sort exploring static and dynamic relationships between burden of disease and research funding in the united states
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164716/
https://www.ncbi.nlm.nih.gov/pubmed/35659236
http://dx.doi.org/10.1186/s12961-022-00837-y
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