Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire
Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (...
Ausführliche Beschreibung
Autor*in: |
Brandon J. Shin [verfasserIn] M. Daniel Wongworawat [verfasserIn] Marti F. Baum [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Übergeordnetes Werk: |
In: Surgery Open Science - Elsevier, 2020, 19(2024), Seite 8-13 |
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Übergeordnetes Werk: |
volume:19 ; year:2024 ; pages:8-13 |
Links: |
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DOI / URN: |
10.1016/j.sopen.2023.12.008 |
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Katalog-ID: |
DOAJ098625802 |
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520 | |a Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. | ||
650 | 4 | |a Social vulnerability | |
650 | 4 | |a Surgery | |
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700 | 0 | |a Marti F. Baum |e verfasserin |4 aut | |
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10.1016/j.sopen.2023.12.008 doi (DE-627)DOAJ098625802 (DE-599)DOAJc8888e9218144cabad32c5284c5ceb47 DE-627 ger DE-627 rakwb eng RD1-811 Brandon J. Shin verfasserin aut Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. Social vulnerability Surgery Disparity Income Access M. Daniel Wongworawat verfasserin aut Marti F. Baum verfasserin aut In Surgery Open Science Elsevier, 2020 19(2024), Seite 8-13 (DE-627)1697763464 25898450 nnns volume:19 year:2024 pages:8-13 https://doi.org/10.1016/j.sopen.2023.12.008 kostenfrei https://doaj.org/article/c8888e9218144cabad32c5284c5ceb47 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589845023001203 kostenfrei https://doaj.org/toc/2589-8450 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 19 2024 8-13 |
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10.1016/j.sopen.2023.12.008 doi (DE-627)DOAJ098625802 (DE-599)DOAJc8888e9218144cabad32c5284c5ceb47 DE-627 ger DE-627 rakwb eng RD1-811 Brandon J. Shin verfasserin aut Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. Social vulnerability Surgery Disparity Income Access M. Daniel Wongworawat verfasserin aut Marti F. Baum verfasserin aut In Surgery Open Science Elsevier, 2020 19(2024), Seite 8-13 (DE-627)1697763464 25898450 nnns volume:19 year:2024 pages:8-13 https://doi.org/10.1016/j.sopen.2023.12.008 kostenfrei https://doaj.org/article/c8888e9218144cabad32c5284c5ceb47 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589845023001203 kostenfrei https://doaj.org/toc/2589-8450 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 19 2024 8-13 |
allfields_unstemmed |
10.1016/j.sopen.2023.12.008 doi (DE-627)DOAJ098625802 (DE-599)DOAJc8888e9218144cabad32c5284c5ceb47 DE-627 ger DE-627 rakwb eng RD1-811 Brandon J. Shin verfasserin aut Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. Social vulnerability Surgery Disparity Income Access M. Daniel Wongworawat verfasserin aut Marti F. Baum verfasserin aut In Surgery Open Science Elsevier, 2020 19(2024), Seite 8-13 (DE-627)1697763464 25898450 nnns volume:19 year:2024 pages:8-13 https://doi.org/10.1016/j.sopen.2023.12.008 kostenfrei https://doaj.org/article/c8888e9218144cabad32c5284c5ceb47 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589845023001203 kostenfrei https://doaj.org/toc/2589-8450 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 19 2024 8-13 |
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10.1016/j.sopen.2023.12.008 doi (DE-627)DOAJ098625802 (DE-599)DOAJc8888e9218144cabad32c5284c5ceb47 DE-627 ger DE-627 rakwb eng RD1-811 Brandon J. Shin verfasserin aut Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. Social vulnerability Surgery Disparity Income Access M. Daniel Wongworawat verfasserin aut Marti F. Baum verfasserin aut In Surgery Open Science Elsevier, 2020 19(2024), Seite 8-13 (DE-627)1697763464 25898450 nnns volume:19 year:2024 pages:8-13 https://doi.org/10.1016/j.sopen.2023.12.008 kostenfrei https://doaj.org/article/c8888e9218144cabad32c5284c5ceb47 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589845023001203 kostenfrei https://doaj.org/toc/2589-8450 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 19 2024 8-13 |
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10.1016/j.sopen.2023.12.008 doi (DE-627)DOAJ098625802 (DE-599)DOAJc8888e9218144cabad32c5284c5ceb47 DE-627 ger DE-627 rakwb eng RD1-811 Brandon J. Shin verfasserin aut Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. Social vulnerability Surgery Disparity Income Access M. Daniel Wongworawat verfasserin aut Marti F. Baum verfasserin aut In Surgery Open Science Elsevier, 2020 19(2024), Seite 8-13 (DE-627)1697763464 25898450 nnns volume:19 year:2024 pages:8-13 https://doi.org/10.1016/j.sopen.2023.12.008 kostenfrei https://doaj.org/article/c8888e9218144cabad32c5284c5ceb47 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589845023001203 kostenfrei https://doaj.org/toc/2589-8450 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 19 2024 8-13 |
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Shin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. 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Brandon J. Shin misc RD1-811 misc Social vulnerability misc Surgery misc Disparity misc Income misc Access Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire |
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RD1-811 Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire Social vulnerability Surgery Disparity Income Access |
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Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire |
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Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire |
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Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. |
abstractGer |
Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. |
abstract_unstemmed |
Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ098625802</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240413234316.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240413s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.sopen.2023.12.008</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ098625802</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJc8888e9218144cabad32c5284c5ceb47</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RD1-811</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Brandon J. Shin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analyzing the association between social vulnerability indexes and surgically underserved areas in the Inland Empire</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: The United States lacks equitable surgical access, prompting us to investigate whether there is an inverse relationship between Social Vulnerability Indices and the number of surgeons in a census tract, using the Inland Empire as a model. Methods: The Centers for Disease Control's (CDC) SVI 2018 database, composed of 823 census tracts, was compared against demographics of 1008 surgeons, from the American Medical Association's (AMA) 2018 Physician Masterfile. Analysis was performed via Spearman's bivariate and multiple regression. Results: An inverse relationship exists between surgeon number and overall social vulnerability (ρ = −0.266 [95 % CI −0.330 to −0.199], p < .001), and between surgeon number and each category of social vulnerability: Socioeconomic (ρ = −0.345 [95 % CI −0.0405 to −0.281], p < .001), Household Composition and Disability (ρ = −0.121 [95 % CI −0.190 to −0.051], p < .001), Minority Status and Language (ρ = −0.0317 [95 % CI −0.379 to −0.252], p < .001), and Housing Type and Transportation (ρ = −0.093 [95 % CI −0.153 to −0.023], p = .005). Multiple regression analysis revealed that the following were associated with a higher number of surgeons: higher “Per Capita Income” (B = 0.000151 [95 % CI 0.000079 to 0.000223], t(820) = 4.104, p < .001), larger Daytime Population (B = 0.000143 [95 % CI 0.000072 to 0.000214]; t(820) = 3.956, p < .001), larger Total Population (B = −0.013 [95 % CI −0.022 to −0.003]; t(820) = −2.672, p = .008), and smaller number of Persons aged 17 and younger (B = −0.005 [95 % CI −0.008 to −0.001]; t(820) = −2.794, p = .005). Conclusions: This study concludes that social vulnerability is predictive of, and significantly linked to, differences in surgical access and continues to advocate for research into understanding the surgeon's role in both individual and population health. Key message: Our work demonstrates that the number of surgeons in a census tract is inversely proportional to the census tract's overall Social Vulnerability Indices. Thus, this research can serve to educate the public, physicians, and other healthcare providers about the importance of incorporating social determinants of health into the construction of healthcare policy and practice, as well as the importance of continued funding for local and national social service programs as a means to alleviate specific health inequities, such as language and transportation.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social vulnerability</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Surgery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Disparity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Income</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Access</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">M. Daniel Wongworawat</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Marti F. Baum</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Surgery Open Science</subfield><subfield code="d">Elsevier, 2020</subfield><subfield code="g">19(2024), Seite 8-13</subfield><subfield code="w">(DE-627)1697763464</subfield><subfield code="x">25898450</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:19</subfield><subfield code="g">year:2024</subfield><subfield code="g">pages:8-13</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.sopen.2023.12.008</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/c8888e9218144cabad32c5284c5ceb47</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" 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