Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market
Stimulating competition is one of the main topics in most health care reform debates, and it has been a central issue in the Affordable Care Act (ACA), USA, since 2009. The goal of this paper is to use complex network methods to study dynamic and structure of competition under ACA and its evolution...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8276567/ |
| _version_ | 1818617856287309824 |
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| author | David A. Gianetto Mohsen Mosleh Babak Heydari |
| author_facet | David A. Gianetto Mohsen Mosleh Babak Heydari |
| author_sort | David A. Gianetto |
| collection | DOAJ |
| description | Stimulating competition is one of the main topics in most health care reform debates, and it has been a central issue in the Affordable Care Act (ACA), USA, since 2009. The goal of this paper is to use complex network methods to study dynamic and structure of competition under ACA and its evolution over time since its beginning until 2017. Using publicly available data, we construct a bipartite network of counties and insurance providers, create associated weighted single-mode networks, and analyze the evolution of network parameters that are related to competition and potential collusion in complex networks. These parameters have been previously tied to the dynamics of collaboration and competition in earlier theoretical works. We argue that three parameters (network modularity, and the mean and skewness of eigenvector centrality) are appropriate indicators of the overall competition in the insurance market. Based on these parameters, we show that the level of systemic competition among insurers as a function of time is an inverse U-shape trend, and that competition has returned back to what it was at the very beginning of ACA, indicating an undesirable resilience in the national health care system. |
| first_indexed | 2024-12-16T17:12:20Z |
| format | Article |
| id | doaj.art-951b96510efa4c518516fe33aa716cde |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:12:20Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-951b96510efa4c518516fe33aa716cde2022-12-21T22:23:22ZengIEEEIEEE Access2169-35362018-01-016127001270910.1109/ACCESS.2018.28006598276567Dynamic Structure of Competition Networks in Affordable Care Act Insurance MarketDavid A. Gianetto0Mohsen Mosleh1Babak Heydari2https://orcid.org/0000-0002-4964-8655School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USASchool of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USASchool of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USAStimulating competition is one of the main topics in most health care reform debates, and it has been a central issue in the Affordable Care Act (ACA), USA, since 2009. The goal of this paper is to use complex network methods to study dynamic and structure of competition under ACA and its evolution over time since its beginning until 2017. Using publicly available data, we construct a bipartite network of counties and insurance providers, create associated weighted single-mode networks, and analyze the evolution of network parameters that are related to competition and potential collusion in complex networks. These parameters have been previously tied to the dynamics of collaboration and competition in earlier theoretical works. We argue that three parameters (network modularity, and the mean and skewness of eigenvector centrality) are appropriate indicators of the overall competition in the insurance market. Based on these parameters, we show that the level of systemic competition among insurers as a function of time is an inverse U-shape trend, and that competition has returned back to what it was at the very beginning of ACA, indicating an undesirable resilience in the national health care system.https://ieeexplore.ieee.org/document/8276567/Affordable Care Actcomplex networksresiliencenetwork centralityhealth care competitioninsurance competition |
| spellingShingle | David A. Gianetto Mohsen Mosleh Babak Heydari Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market IEEE Access Affordable Care Act complex networks resilience network centrality health care competition insurance competition |
| title | Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market |
| title_full | Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market |
| title_fullStr | Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market |
| title_full_unstemmed | Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market |
| title_short | Dynamic Structure of Competition Networks in Affordable Care Act Insurance Market |
| title_sort | dynamic structure of competition networks in affordable care act insurance market |
| topic | Affordable Care Act complex networks resilience network centrality health care competition insurance competition |
| url | https://ieeexplore.ieee.org/document/8276567/ |
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