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Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014

Given increased focus on health spending, this investigation aims to compare trends in pediatric Medicaid and private insurance spending on type of service from 2002 to 2014 in order to inform policy and research. A repeated cross-sectional analysis of 2002 to 2014 National Health Expenditure Accoun...

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Autores principales: Sheth, Anjani, Agrawal, Rishi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120517/
https://www.ncbi.nlm.nih.gov/pubmed/33978508
http://dx.doi.org/10.1177/00469580211010433
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author Sheth, Anjani
Agrawal, Rishi
author_facet Sheth, Anjani
Agrawal, Rishi
author_sort Sheth, Anjani
collection PubMed
description Given increased focus on health spending, this investigation aims to compare trends in pediatric Medicaid and private insurance spending on type of service from 2002 to 2014 in order to inform policy and research. A repeated cross-sectional analysis of 2002 to 2014 National Health Expenditure Accounts data was conducted. Total spending, per capita spending, and compounded annual growth rates for type of service were determined for children ages 0 to 18 at the national level. Per capita spending growth was higher for private insurance than for Medicaid, and the areas of high per capita spending growth differed for private insurance and Medicaid. While Medicaid spent more per capita on hospital care than private insurance, private insurance demonstrated greater per capita spending growth on hospital care than Medicaid (8.49% vs 1.99%, respectively). Conversely, per capita spending on home health care grew more for Medicaid (6.79%) than for private insurance (3.18%). Trends in private insurance and Medicaid overall and per capita spending differ. Medicaid experienced higher annual growth in total spending than per capita spending, while private insurance had greater annual growth in per capita spending than total spending. Growth in private insurance per capita spending was higher than growth in Medicaid per capita spending, but growth in Medicaid total spending was higher than growth in private insurance total spending. These data suggest that Medicaid and private insurance may have different drivers of spending growth, highlighting the need for policy makers to examine spending patterns by payer. Further research to determine why such differences in spending growth exist will better inform efforts to increase health care value.
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spelling pubmed-81205172021-05-21 Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014 Sheth, Anjani Agrawal, Rishi Inquiry Original Research Given increased focus on health spending, this investigation aims to compare trends in pediatric Medicaid and private insurance spending on type of service from 2002 to 2014 in order to inform policy and research. A repeated cross-sectional analysis of 2002 to 2014 National Health Expenditure Accounts data was conducted. Total spending, per capita spending, and compounded annual growth rates for type of service were determined for children ages 0 to 18 at the national level. Per capita spending growth was higher for private insurance than for Medicaid, and the areas of high per capita spending growth differed for private insurance and Medicaid. While Medicaid spent more per capita on hospital care than private insurance, private insurance demonstrated greater per capita spending growth on hospital care than Medicaid (8.49% vs 1.99%, respectively). Conversely, per capita spending on home health care grew more for Medicaid (6.79%) than for private insurance (3.18%). Trends in private insurance and Medicaid overall and per capita spending differ. Medicaid experienced higher annual growth in total spending than per capita spending, while private insurance had greater annual growth in per capita spending than total spending. Growth in private insurance per capita spending was higher than growth in Medicaid per capita spending, but growth in Medicaid total spending was higher than growth in private insurance total spending. These data suggest that Medicaid and private insurance may have different drivers of spending growth, highlighting the need for policy makers to examine spending patterns by payer. Further research to determine why such differences in spending growth exist will better inform efforts to increase health care value. SAGE Publications 2021-05-12 /pmc/articles/PMC8120517/ /pubmed/33978508 http://dx.doi.org/10.1177/00469580211010433 Text en © The Author(s) 2021 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 Original Research
Sheth, Anjani
Agrawal, Rishi
Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014
title Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014
title_full Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014
title_fullStr Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014
title_full_unstemmed Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014
title_short Trends in Pediatric Private Insurance and Medicaid Spending: A Repeated Cross-Sectional Analysis of Data from 2002 to 2014
title_sort trends in pediatric private insurance and medicaid spending: a repeated cross-sectional analysis of data from 2002 to 2014
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120517/
https://www.ncbi.nlm.nih.gov/pubmed/33978508
http://dx.doi.org/10.1177/00469580211010433
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