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A note on the decomposition of the health concentration index

Clarke, PM ; Gerdtham, Ulf LU orcid and Connelly, LB (2003) In Health Economics 12(6). p.511-516
Abstract
In recent work, the concentration index has been widely used as a measure of income-related health inequality. The purpose of this note is to illustrate two different methods for decomposing the overall health concentration index using data collected from a Short Form (SF-36) survey of the general Australian population conducted in 1995. For simplicity, we focus on the physical functioning scale of the SF-36. Firstly we examine decomposition 'by component' by separating the concentration index for the physical functioning scale into the ten items on which it is based. The results show that the items contribute differently to the overall inequality measure, i.e. two of the items contributed 13% and 5%, respectively, to the overall measure.... (More)
In recent work, the concentration index has been widely used as a measure of income-related health inequality. The purpose of this note is to illustrate two different methods for decomposing the overall health concentration index using data collected from a Short Form (SF-36) survey of the general Australian population conducted in 1995. For simplicity, we focus on the physical functioning scale of the SF-36. Firstly we examine decomposition 'by component' by separating the concentration index for the physical functioning scale into the ten items on which it is based. The results show that the items contribute differently to the overall inequality measure, i.e. two of the items contributed 13% and 5%, respectively, to the overall measure. Second, to illustrate the 'by subgroup' method we decompose the concentration index by employment status. This involves separating the population into two groups: individuals currently in employment; and individuals not currently employed. We find that the inequality between these groups is about five times greater than the inequality within each group. These methods provide insights into the nature of inequality that can be used to inform policy design to reduce income related health inequalities. Copyright (C) 2002 John Wiley Sons, Ltd. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
short form 36, decomposition, health inequality, concentration index, unemployment, Australia
in
Health Economics
volume
12
issue
6
pages
511 - 516
publisher
John Wiley & Sons Inc.
external identifiers
  • pmid:12759920
  • wos:000183314300007
  • scopus:0038517890
  • pmid:12759920
ISSN
1099-1050
DOI
10.1002/hec.767
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Lund University Centre for Health Economics (LUCHE) (016630120), Community Medicine (013241810), Department of Economics (012008000), Health Economics (013240036)
id
5ad96414-2422-4380-977f-b5f0d1fdf946 (old id 309609)
date added to LUP
2016-04-01 12:33:04
date last changed
2022-01-27 06:38:32
@article{5ad96414-2422-4380-977f-b5f0d1fdf946,
  abstract     = {{In recent work, the concentration index has been widely used as a measure of income-related health inequality. The purpose of this note is to illustrate two different methods for decomposing the overall health concentration index using data collected from a Short Form (SF-36) survey of the general Australian population conducted in 1995. For simplicity, we focus on the physical functioning scale of the SF-36. Firstly we examine decomposition 'by component' by separating the concentration index for the physical functioning scale into the ten items on which it is based. The results show that the items contribute differently to the overall inequality measure, i.e. two of the items contributed 13% and 5%, respectively, to the overall measure. Second, to illustrate the 'by subgroup' method we decompose the concentration index by employment status. This involves separating the population into two groups: individuals currently in employment; and individuals not currently employed. We find that the inequality between these groups is about five times greater than the inequality within each group. These methods provide insights into the nature of inequality that can be used to inform policy design to reduce income related health inequalities. Copyright (C) 2002 John Wiley Sons, Ltd.}},
  author       = {{Clarke, PM and Gerdtham, Ulf and Connelly, LB}},
  issn         = {{1099-1050}},
  keywords     = {{short form 36; decomposition; health inequality; concentration index; unemployment; Australia}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{511--516}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Health Economics}},
  title        = {{A note on the decomposition of the health concentration index}},
  url          = {{http://dx.doi.org/10.1002/hec.767}},
  doi          = {{10.1002/hec.767}},
  volume       = {{12}},
  year         = {{2003}},
}