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Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016

BACKGROUND: Descriptive analyses of 2009–2016 were performed using the data of the Universal Coverage Scheme (UCS) which covers nearly 70 percent of the Thai population. The analyses described the time and geographical trends of nationwide admission rates of type 2 diabetes mellitus (T2DM) and its c...

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Autores principales: Laowahutanon, Tanapat, Nakamura, Haruyo, Tachimori, Hisateru, Nomura, Shuhei, Liabsuetrakul, Tippawan, Lim, Apiradee, Rawdaree, Petch, Suchonwanich, Netnapis, Yamamoto, Hiroyuki, Ishizuka, Aya, Shibuya, Kenji, Miyata, Hiroaki, Chongsuvivatwong, Virasakdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248737/
https://www.ncbi.nlm.nih.gov/pubmed/34197492
http://dx.doi.org/10.1371/journal.pone.0253434
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author Laowahutanon, Tanapat
Nakamura, Haruyo
Tachimori, Hisateru
Nomura, Shuhei
Liabsuetrakul, Tippawan
Lim, Apiradee
Rawdaree, Petch
Suchonwanich, Netnapis
Yamamoto, Hiroyuki
Ishizuka, Aya
Shibuya, Kenji
Miyata, Hiroaki
Chongsuvivatwong, Virasakdi
author_facet Laowahutanon, Tanapat
Nakamura, Haruyo
Tachimori, Hisateru
Nomura, Shuhei
Liabsuetrakul, Tippawan
Lim, Apiradee
Rawdaree, Petch
Suchonwanich, Netnapis
Yamamoto, Hiroyuki
Ishizuka, Aya
Shibuya, Kenji
Miyata, Hiroaki
Chongsuvivatwong, Virasakdi
author_sort Laowahutanon, Tanapat
collection PubMed
description BACKGROUND: Descriptive analyses of 2009–2016 were performed using the data of the Universal Coverage Scheme (UCS) which covers nearly 70 percent of the Thai population. The analyses described the time and geographical trends of nationwide admission rates of type 2 diabetes mellitus (T2DM) and its complications, including chronic kidney disease (CKD), myocardial infarction, cerebrovascular diseases, retinopathy, cataract, and diabetic foot amputation. METHODS AND FINDINGS: The database of T2DM patients aged 15–100 years who were admitted between 2009 and 2016 under the UCS and that of the UCS population were retrieved for the analyses. The admitted cases of T2DM were extracted from the database using disease codes of principal and secondary diagnoses defined by the International Classification of Diseases 9th and 10th Revisions. The T2DM admission rates in 2009–2016 were the number of admissions divided by the number of the UCS population. The standardized admission rates (SARs)were further estimated in contrast to the expected number of admissions considering age and sex composition of the UCS population in each region. A linearly increased trend was found in T2DM admission rates from 2009 to 2016. Female admission rates were persistently higher than that of males. In 2016, an increase in the T2DM admission rates was observed among the older ages relative to that in 2009. Although the SARs of T2DM were generally higher in Bangkok and central regions in 2009, except that with CKD and foot amputation which had higher trends in northeastern regions, the geographical inequalities were fairly reduced by 2016. CONCLUSION: Admission rates of T2DM and its major complications increased in Thailand from 2009 to 2016. Although the overall geographical inequalities in the SARs of T2DM were reduced in the country, further efforts are required to improve the health system and policies focusing on risk factors and regions to manage the increasing T2DM.
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spelling pubmed-82487372021-07-09 Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016 Laowahutanon, Tanapat Nakamura, Haruyo Tachimori, Hisateru Nomura, Shuhei Liabsuetrakul, Tippawan Lim, Apiradee Rawdaree, Petch Suchonwanich, Netnapis Yamamoto, Hiroyuki Ishizuka, Aya Shibuya, Kenji Miyata, Hiroaki Chongsuvivatwong, Virasakdi PLoS One Research Article BACKGROUND: Descriptive analyses of 2009–2016 were performed using the data of the Universal Coverage Scheme (UCS) which covers nearly 70 percent of the Thai population. The analyses described the time and geographical trends of nationwide admission rates of type 2 diabetes mellitus (T2DM) and its complications, including chronic kidney disease (CKD), myocardial infarction, cerebrovascular diseases, retinopathy, cataract, and diabetic foot amputation. METHODS AND FINDINGS: The database of T2DM patients aged 15–100 years who were admitted between 2009 and 2016 under the UCS and that of the UCS population were retrieved for the analyses. The admitted cases of T2DM were extracted from the database using disease codes of principal and secondary diagnoses defined by the International Classification of Diseases 9th and 10th Revisions. The T2DM admission rates in 2009–2016 were the number of admissions divided by the number of the UCS population. The standardized admission rates (SARs)were further estimated in contrast to the expected number of admissions considering age and sex composition of the UCS population in each region. A linearly increased trend was found in T2DM admission rates from 2009 to 2016. Female admission rates were persistently higher than that of males. In 2016, an increase in the T2DM admission rates was observed among the older ages relative to that in 2009. Although the SARs of T2DM were generally higher in Bangkok and central regions in 2009, except that with CKD and foot amputation which had higher trends in northeastern regions, the geographical inequalities were fairly reduced by 2016. CONCLUSION: Admission rates of T2DM and its major complications increased in Thailand from 2009 to 2016. Although the overall geographical inequalities in the SARs of T2DM were reduced in the country, further efforts are required to improve the health system and policies focusing on risk factors and regions to manage the increasing T2DM. Public Library of Science 2021-07-01 /pmc/articles/PMC8248737/ /pubmed/34197492 http://dx.doi.org/10.1371/journal.pone.0253434 Text en © 2021 Laowahutanon et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Laowahutanon, Tanapat
Nakamura, Haruyo
Tachimori, Hisateru
Nomura, Shuhei
Liabsuetrakul, Tippawan
Lim, Apiradee
Rawdaree, Petch
Suchonwanich, Netnapis
Yamamoto, Hiroyuki
Ishizuka, Aya
Shibuya, Kenji
Miyata, Hiroaki
Chongsuvivatwong, Virasakdi
Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016
title Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016
title_full Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016
title_fullStr Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016
title_full_unstemmed Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016
title_short Hospital admission for type 2 diabetes mellitus under the Universal Coverage Scheme in Thailand: A time- and geographical-trend analysis, 2009–2016
title_sort hospital admission for type 2 diabetes mellitus under the universal coverage scheme in thailand: a time- and geographical-trend analysis, 2009–2016
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248737/
https://www.ncbi.nlm.nih.gov/pubmed/34197492
http://dx.doi.org/10.1371/journal.pone.0253434
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