Cargando…
A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea
BACKGROUND: The incidence of pneumonia in Korea started to increase in the 1990’s after a period of decrease and stabilization, and the mortality and hospitalization rates for pneumonia in Korea are alarmingly high. This study was performed to examine geographic variation and factors associated with...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383222/ https://www.ncbi.nlm.nih.gov/pubmed/30786908 http://dx.doi.org/10.1186/s12890-019-0798-6 |
_version_ | 1783396799520702464 |
---|---|
author | Kim, Agnus M. Kang, Sungchan Park, Jong Heon Yoon, Tae Ho Kim, Yoon |
author_facet | Kim, Agnus M. Kang, Sungchan Park, Jong Heon Yoon, Tae Ho Kim, Yoon |
author_sort | Kim, Agnus M. |
collection | PubMed |
description | BACKGROUND: The incidence of pneumonia in Korea started to increase in the 1990’s after a period of decrease and stabilization, and the mortality and hospitalization rates for pneumonia in Korea are alarmingly high. This study was performed to examine geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea. METHODS: Data were acquired from the inpatient claims of the 2015 period of the National Health Insurance Service. The age- and sex-standardized hospitalization rates for bacterial pneumonia were calculated for three age groups. Geographic variation was measured with the coefficient of variation, the ratio of the 90th to the 10th percentile of the distribution of rates, and the systematic component of variation. Considering the results of Moran’s I statistic which suggested spatial autocorrelation, we estimated spatial regression models using spatial error models. RESULTS: The hospitalization rate for bacterial pneumonia was 79.1 per 10,000 population, and the rate was the highest in the age group 0–14 at 325.3, and it was 161.5 among the elderly. The geographic variation statistics showed high variation with the coefficient variation at 0.6. The deprivation score showed positive associations, and the number of primary care physicians had a negative association with the hospitalization rates across all age groups but the age group 0–14. The number of beds in hospitals with less than 300 beds had a positive association with the hospitalization rates for bacterial pneumonia, and the impact was the strongest in the age group 0–14. CONCLUSIONS: The present study shows that pneumonia can be a major public health issue even in a developed country. Socioeconomic conditions can still be a concern for pneumonia in developed countries, and the role of primary care physicians in preventing hospitalization for bacterial pneumonia needs to be recognized. Most of all, the strong impact of hospital beds on the hospitalization rates for pneumonia, especially for the children, should be addressed. High disease burden of pneumonia in Korea can partly be attributable to oversupply of hospital beds. These factors should be taken into consideration in establishing policy measures for the rise in pneumonia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12890-019-0798-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6383222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63832222019-03-01 A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea Kim, Agnus M. Kang, Sungchan Park, Jong Heon Yoon, Tae Ho Kim, Yoon BMC Pulm Med Research Article BACKGROUND: The incidence of pneumonia in Korea started to increase in the 1990’s after a period of decrease and stabilization, and the mortality and hospitalization rates for pneumonia in Korea are alarmingly high. This study was performed to examine geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea. METHODS: Data were acquired from the inpatient claims of the 2015 period of the National Health Insurance Service. The age- and sex-standardized hospitalization rates for bacterial pneumonia were calculated for three age groups. Geographic variation was measured with the coefficient of variation, the ratio of the 90th to the 10th percentile of the distribution of rates, and the systematic component of variation. Considering the results of Moran’s I statistic which suggested spatial autocorrelation, we estimated spatial regression models using spatial error models. RESULTS: The hospitalization rate for bacterial pneumonia was 79.1 per 10,000 population, and the rate was the highest in the age group 0–14 at 325.3, and it was 161.5 among the elderly. The geographic variation statistics showed high variation with the coefficient variation at 0.6. The deprivation score showed positive associations, and the number of primary care physicians had a negative association with the hospitalization rates across all age groups but the age group 0–14. The number of beds in hospitals with less than 300 beds had a positive association with the hospitalization rates for bacterial pneumonia, and the impact was the strongest in the age group 0–14. CONCLUSIONS: The present study shows that pneumonia can be a major public health issue even in a developed country. Socioeconomic conditions can still be a concern for pneumonia in developed countries, and the role of primary care physicians in preventing hospitalization for bacterial pneumonia needs to be recognized. Most of all, the strong impact of hospital beds on the hospitalization rates for pneumonia, especially for the children, should be addressed. High disease burden of pneumonia in Korea can partly be attributable to oversupply of hospital beds. These factors should be taken into consideration in establishing policy measures for the rise in pneumonia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12890-019-0798-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-20 /pmc/articles/PMC6383222/ /pubmed/30786908 http://dx.doi.org/10.1186/s12890-019-0798-6 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kim, Agnus M. Kang, Sungchan Park, Jong Heon Yoon, Tae Ho Kim, Yoon A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea |
title | A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea |
title_full | A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea |
title_fullStr | A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea |
title_full_unstemmed | A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea |
title_short | A spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in Korea |
title_sort | spatial analysis of geographic variation and factors associated with hospitalization for bacterial pneumonia in korea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383222/ https://www.ncbi.nlm.nih.gov/pubmed/30786908 http://dx.doi.org/10.1186/s12890-019-0798-6 |
work_keys_str_mv | AT kimagnusm aspatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT kangsungchan aspatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT parkjongheon aspatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT yoontaeho aspatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT kimyoon aspatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT kimagnusm spatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT kangsungchan spatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT parkjongheon spatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT yoontaeho spatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea AT kimyoon spatialanalysisofgeographicvariationandfactorsassociatedwithhospitalizationforbacterialpneumoniainkorea |