Cargando…

Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016

BACKGROUND: Multimorbidity is a global challenge. It is more common in the elderly and deprived populations. Health systems are not providing appropriate care for people with multimorbidity as they are focused on managing single diseases and are not oriented to effectively manage complexity of care-...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Jungyeon, Keshavjee, Salmaan, Atun, Rifat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698588/
https://www.ncbi.nlm.nih.gov/pubmed/33274065
http://dx.doi.org/10.7189/jogh.10.020426
_version_ 1783615866073513984
author Kim, Jungyeon
Keshavjee, Salmaan
Atun, Rifat
author_facet Kim, Jungyeon
Keshavjee, Salmaan
Atun, Rifat
author_sort Kim, Jungyeon
collection PubMed
description BACKGROUND: Multimorbidity is a global challenge. It is more common in the elderly and deprived populations. Health systems are not providing appropriate care for people with multimorbidity as they are focused on managing single diseases and are not oriented to effectively manage complexity of care-coordination for multimorbidity. This study aims to examine trends, disparities and consequences of multimorbidity over a 10-year period. It also aims to analyze different multimorbidity clusters and their association with quality of life. METHODS: This study analyzes Korea National Health and Nutrition Examination Survey – a cross-sectional survey repeated each year of 100 000 individuals aged one or more in 192 regions of South Korea – for the 10-year period 2007-2016. This is a population-based study based on nationally representative survey data for 10 years in Korea. Our study included 68 590 adults aged 19 or more who answered questions on presence of diseases. 39 chronic conditions were included. Disease clustering by frequency, composition and number of diseases from the top 10 most common chronic conditions were used to establish patterns of multimorbidity clusters. We performed regression analyses to analyze annual trend and the prevalence of multimorbidity across socioeconomic strata. Regressions were performed to measure association between multimorbidity and unmet need, health care service utilization, sickness days, perceived health status, and EQ-5D. RESULTS: Multimorbidity increased in the study period and was more prevalent in the elderly, females, and people with lower household income and education level. Multimorbidity was associated with increased unmet need, health care utilization and sickness days and reduced perceived health status and quality of life. Hypertension was the most common condition in individuals with multimorbidity. Reduced quality of life was associated with increasing number of chronic diseases and multimorbidity clusters which included stroke and arthritis. CONCLUSIONS: The prevalence of multimorbidity varied across socioeconomic strata, with higher levels and health consequences observed in individuals in lower socio-economic income groups. Different multimorbidity clusters had differential effect on the quality of life. Health system designs incorporating integrated care strategies for complex conditions are required to effectively manage multimorbidity and different multimorbidity clusters.
format Online
Article
Text
id pubmed-7698588
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher International Society of Global Health
record_format MEDLINE/PubMed
spelling pubmed-76985882020-12-02 Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016 Kim, Jungyeon Keshavjee, Salmaan Atun, Rifat J Glob Health Articles BACKGROUND: Multimorbidity is a global challenge. It is more common in the elderly and deprived populations. Health systems are not providing appropriate care for people with multimorbidity as they are focused on managing single diseases and are not oriented to effectively manage complexity of care-coordination for multimorbidity. This study aims to examine trends, disparities and consequences of multimorbidity over a 10-year period. It also aims to analyze different multimorbidity clusters and their association with quality of life. METHODS: This study analyzes Korea National Health and Nutrition Examination Survey – a cross-sectional survey repeated each year of 100 000 individuals aged one or more in 192 regions of South Korea – for the 10-year period 2007-2016. This is a population-based study based on nationally representative survey data for 10 years in Korea. Our study included 68 590 adults aged 19 or more who answered questions on presence of diseases. 39 chronic conditions were included. Disease clustering by frequency, composition and number of diseases from the top 10 most common chronic conditions were used to establish patterns of multimorbidity clusters. We performed regression analyses to analyze annual trend and the prevalence of multimorbidity across socioeconomic strata. Regressions were performed to measure association between multimorbidity and unmet need, health care service utilization, sickness days, perceived health status, and EQ-5D. RESULTS: Multimorbidity increased in the study period and was more prevalent in the elderly, females, and people with lower household income and education level. Multimorbidity was associated with increased unmet need, health care utilization and sickness days and reduced perceived health status and quality of life. Hypertension was the most common condition in individuals with multimorbidity. Reduced quality of life was associated with increasing number of chronic diseases and multimorbidity clusters which included stroke and arthritis. CONCLUSIONS: The prevalence of multimorbidity varied across socioeconomic strata, with higher levels and health consequences observed in individuals in lower socio-economic income groups. Different multimorbidity clusters had differential effect on the quality of life. Health system designs incorporating integrated care strategies for complex conditions are required to effectively manage multimorbidity and different multimorbidity clusters. International Society of Global Health 2020-12 2020-08-23 /pmc/articles/PMC7698588/ /pubmed/33274065 http://dx.doi.org/10.7189/jogh.10.020426 Text en Copyright © 2020 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Kim, Jungyeon
Keshavjee, Salmaan
Atun, Rifat
Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016
title Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016
title_full Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016
title_fullStr Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016
title_full_unstemmed Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016
title_short Trends, patterns and health consequences of multimorbidity among South Korea adults: Analysis of nationally representative survey data 2007-2016
title_sort trends, patterns and health consequences of multimorbidity among south korea adults: analysis of nationally representative survey data 2007-2016
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698588/
https://www.ncbi.nlm.nih.gov/pubmed/33274065
http://dx.doi.org/10.7189/jogh.10.020426
work_keys_str_mv AT kimjungyeon trendspatternsandhealthconsequencesofmultimorbidityamongsouthkoreaadultsanalysisofnationallyrepresentativesurveydata20072016
AT keshavjeesalmaan trendspatternsandhealthconsequencesofmultimorbidityamongsouthkoreaadultsanalysisofnationallyrepresentativesurveydata20072016
AT atunrifat trendspatternsandhealthconsequencesofmultimorbidityamongsouthkoreaadultsanalysisofnationallyrepresentativesurveydata20072016