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Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models

OBJECTIVE: Complications associated with hypertension can be alleviated by providing necessary medical services. However, there may be disparities in their provision depending on regional differences. Thus, this study aimed to examine the effects of regional healthcare disparities on complications i...

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Autores principales: Yun, Choa, Park, Minah, Joo, Jae Hong, Kang, Soo Hyun, Jeong, Sung Hoon, Nam, Chung-Mo, Park, Eun-Cheol, Jang, Sung-In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272513/
https://www.ncbi.nlm.nih.gov/pubmed/37332760
http://dx.doi.org/10.3389/fmed.2023.1138017
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author Yun, Choa
Park, Minah
Joo, Jae Hong
Kang, Soo Hyun
Jeong, Sung Hoon
Nam, Chung-Mo
Park, Eun-Cheol
Jang, Sung-In
author_facet Yun, Choa
Park, Minah
Joo, Jae Hong
Kang, Soo Hyun
Jeong, Sung Hoon
Nam, Chung-Mo
Park, Eun-Cheol
Jang, Sung-In
author_sort Yun, Choa
collection PubMed
description OBJECTIVE: Complications associated with hypertension can be alleviated by providing necessary medical services. However, there may be disparities in their provision depending on regional differences. Thus, this study aimed to examine the effects of regional healthcare disparities on complications in patients with hypertension in South Korea. METHODS: Data from the National Health Insurance Service National Sample Cohort (2004–2019) were analyzed. The position value for the relative composite index was used to identify medically vulnerable regions. The diagnosis of hypertension within the region was also considered. The risk of complications associated with hypertension included cardiovascular, cerebrovascular, and kidney diseases. Cox proportional hazards models were used for statistical analysis. RESULTS: A total of 246,490 patients were included in this study. Patients who lived in medically vulnerable regions and were diagnosed outside their residential area had a higher risk of complications than those living in non-vulnerable regions and were diagnosed outside the residential area (hazard ratio: 1.156, 95% confidence interval: 1.119–1.195). CONCLUSION: Patients living in medically vulnerable regions who were diagnosed outside their residential areas were more likely to have hypertension complications regardless of the type of complication. Necessary policies should be implemented to reduce regional healthcare disparities.
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spelling pubmed-102725132023-06-17 Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models Yun, Choa Park, Minah Joo, Jae Hong Kang, Soo Hyun Jeong, Sung Hoon Nam, Chung-Mo Park, Eun-Cheol Jang, Sung-In Front Med (Lausanne) Medicine OBJECTIVE: Complications associated with hypertension can be alleviated by providing necessary medical services. However, there may be disparities in their provision depending on regional differences. Thus, this study aimed to examine the effects of regional healthcare disparities on complications in patients with hypertension in South Korea. METHODS: Data from the National Health Insurance Service National Sample Cohort (2004–2019) were analyzed. The position value for the relative composite index was used to identify medically vulnerable regions. The diagnosis of hypertension within the region was also considered. The risk of complications associated with hypertension included cardiovascular, cerebrovascular, and kidney diseases. Cox proportional hazards models were used for statistical analysis. RESULTS: A total of 246,490 patients were included in this study. Patients who lived in medically vulnerable regions and were diagnosed outside their residential area had a higher risk of complications than those living in non-vulnerable regions and were diagnosed outside the residential area (hazard ratio: 1.156, 95% confidence interval: 1.119–1.195). CONCLUSION: Patients living in medically vulnerable regions who were diagnosed outside their residential areas were more likely to have hypertension complications regardless of the type of complication. Necessary policies should be implemented to reduce regional healthcare disparities. Frontiers Media S.A. 2023-06-02 /pmc/articles/PMC10272513/ /pubmed/37332760 http://dx.doi.org/10.3389/fmed.2023.1138017 Text en Copyright © 2023 Yun, Park, Joo, Kang, Jeong, Nam, Park and Jang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Yun, Choa
Park, Minah
Joo, Jae Hong
Kang, Soo Hyun
Jeong, Sung Hoon
Nam, Chung-Mo
Park, Eun-Cheol
Jang, Sung-In
Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models
title Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models
title_full Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models
title_fullStr Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models
title_full_unstemmed Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models
title_short Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models
title_sort effect of regional medical disparities on complications in patients with hypertension: cox’s proportional hazard models
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272513/
https://www.ncbi.nlm.nih.gov/pubmed/37332760
http://dx.doi.org/10.3389/fmed.2023.1138017
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