Assessment of Applicability of Standardized Rates for Health State Comparison Among Areas: 2008 Community Health Survey.

Geun Yong Kwon; Do Sang Lim; Eun Ja Park; Ji Sun Jung; Ki Won Kang; Yun A Kim; Ho Kim; Sung Il Cho

doi:10.3961/jpmph.2010.43.2.174

Articles

Page Path: HOME > J Prev Med Public Health > Volume 43(2); 2010 > Article

Original Article Assessment of Applicability of Standardized Rates for Health State Comparison Among Areas: 2008 Community Health Survey.: Geun Yong Kwon, Do Sang Lim, Eun Ja Park, Ji Sun Jung, Ki Won Kang, Yun A Kim, Ho Kim, Sung Il Cho; Journal of Preventive Medicine and Public Health 2010;43(2):174-184
DOI: https://doi.org/10.3961/jpmph.2010.43.2.174

5,260 Views
47 Download
6 Crossref
3 Scopus

¹School of Public Health, Seoul National University, Korea. scho@snu.ac.kr
²Korea Center for Diease Control and Prevention, Korea.
³Korea Institute for Health and Social Affairs, Korea.

Full Article

Download PDF

Abstract

OBJECTIVES
This study shows the issues that should be considered when applying standardized rates using Community Health Survey(CHS) data. METHODS: We analyzed 2008 CHS data. In order to obtain the reliability of standardized rates, we calculated z-score and rank correlation coefficients between direct standardized rate and indirect standardized rate for 31 major indices. Especially, we assessed the change of correlations according to population composition (age and sex), and characteristics of the index. We used Mantel-Haenszel chi-square to quantify the difference of population composition. RESULTS: Among 31 major indices, 29 indices' z-score and rank correlation coefficients were over 0.9. However, regions with larger differences in population composition showed lower reliability. Low reliability was also observed for the indices specific to subgroups with small denominator such as 'permanent lesion from stroke', and the index with large regional variations in age-related differences such as 'obtaining health examinations'. CONCLUSIONS: Standardized rates may have low reliability, if comparison is made between areas with extremely large differences in population composition, or for indicies with large regional variations in age-related differences. Therefore, the special features of standardized rates should be considered when health state are compared among areas.

Keywords: Age distribution Health surveys Population characteristics Standardization

Figure & Data

References

Citations

Citations to this article as recorded by

Ambient air quality and subjective stress level using Community Health Survey data in Korea
Myung-Jae Hwang, Hae-Kwan Cheong, Jong-Hun Kim, Youn Seo Koo, Hui-Young Yun
Epidemiology and Health.2018; 40: e2018028. CrossRef
Illustration of Calculating Standardized Rates Utilizing Logistic Regression Models: The National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS)
Sang-Hoon Cho, Gunseog Kang, Hyeon Chang Kim
Journal of Health Informatics and Statistics.2017; 42(1): 70. CrossRef
Korea Community Health Survey Data Profiles
Yang Wha Kang, Yun Sil Ko, Yoo Jin Kim, Kyoung Mi Sung, Hyo Jin Kim, Hyung Yun Choi, Changhyun Sung, Eunkyeong Jeong
Osong Public Health and Research Perspectives.2015; 6(3): 211. CrossRef
Health behavior affecting on the regional variation of standardized mortality
Jin A Han, Soo Jeong Kim, Se Rom Kim, Ki Hong Chun, Yun Hwan Lee, Soon Young Lee
Korean Journal of Health Education and Promotion.2015; 32(3): 23. CrossRef
Convergence-based analysis on geographical variations of the smoking rates
Ji-Hye Lim, Sung-Hong Kang
Journal of Digital Convergence.2015; 13(8): 375. CrossRef
Overview of Korean Community Health Survey
Young Taek Kim, Bo Youl Choi, Kay O Lee, Ho Kim, Jin Ho Chun, Su Young Kim, Duk-Hyoung Lee, Yun A Ghim, Do Sang Lim, Yang Wha Kang, Tae Young Lee, Jeong Sook Kim, Hyun Jo, Yoojin Kim, Yun Sil Ko, Soon Ryu Seo, No-Rye Park, Jong-Koo Lee
Journal of the Korean Medical Association.2012; 55(1): 74. CrossRef

Cite

Related articles