Sn

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Selection of SES factors for construction of
socio-economic deprivation index (SESDI) in the
Czech Republic
Šlachtová Hana Tomášková Hana Polaufová
Pavla Šplíchalová Anna
Institute of Public Health in Ostrava, Czech
Republic
This study was realized within the Project Nr. NR
8480-3 funded by the Czech Ministry of Health -
Construction of Socio-economic Deprivation
Indices for Analysis of Routinely Collected data
on Health Status of Population with the
Possibility of Using the GIS
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Introduction

• the relationship between socio-economic factors
  and health status was confirmed in plenty of
  studies
• creation of a combined index was the objective
  of a grant project
• health data are routinely collected on the level
  of 77 districts in the CR
• demographic and census based data are routinely
  analysed on the same level
• both health indicators and census based data are
  not routinely joined

Objective in three steps

• selection of SES factors for construction of
  deprivation index
• construction of deprivation index on the level
  of enumeration districts in the Northern
  Moravian region and on the level of 77
  districts in the CR (following presentation)
• use of newly constructed deprivation index for
  analysis of mortality differences on district
  level (the third presentation)

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Preparatory phase

• three reviews focused on existing knowledge of
  measurement of deprivation, construction of
  indices and their relationship with health
  indicators - published in Czech (journal Hygiene)

Material

• census 2001 data 1/ district level (N77)
  2/ enumeration districts in the Moravian Region
  (N5,114)
• mortality data 2001 on the level of 77 Czech
  districts

Selection of index components

• 18 applicable variables for 5 domains of
  material and social deprivation (housing
  quality, material standard, access to
  phone/PC/internet, family status and education)

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Reduction of index components

• final set of index components was reduced due to

• low frequency of some variables e.g. flats
  without amenities - distribution between 0.4-1.6
  solution variables were omitted
• similar distribution in all the districts
  e.g. water supply - varied from 97.7-99.1
  solution variables were omitted
• invalid linkage e.g. equipment of housing with
  PC and internet rather related to education
  than to material status solution variables
  were omitted
• found inter-correlation e.g. proportion of
  family houses and ownership of housing r0.84
  solution only one variable was used for index
  creation
• found overlapping of some variables e.g.
  complete and incomplete families with and without
  children solution only one variable was used
  for index creation

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Statistical analysis

• between the 6 districts differences for
  selected components were tested on the 5,114
  enumeration district level using ?2-test and
  ANOVA
• visualisation in GIS

plt0.001
graph ownership of housing map
ownership of cottage houses
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Results

• the results of analysis confirmed statistically
  significant differences between districts
  for all selected material and social factors
  (p lt 0.001) on EDs level
• the order of districts by deprivation level
  slightly changed for different components
  e.g. flat or house ownership was different in
  rural and urban districts (better in rural)
  while in urban districts occurrence of cottage
  houses was higher
• therefore both components were included into
  the final set of index components

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Final set of index components
5 factors of material deprivation

• ownership of accommodation proportion of
  family houses ()
• cottage houses - proportion of households ()
• car - proportion of households ()
• phone - proportion of households ()
• density of housing - average m2 of living area
  per person in ED

4 factors of social deprivation

• proportion of basic education - in total
  population older than 15 years ()
• unemployment proportion of total population in
  a productive age
• singles - living without a partner in total
  population older than 15 years ()
• incomplete families with children proportion
  of families ()

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Conclusion

• statistical analysis approved the final set
  of factors of material and social deprivation
  for construction of socio-economic deprivation
  index

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Thank you for your kind attention...
Acknowledgement This study was realized within
the Project Nr. NR 8480-3 funded by the Czech
Ministry of Health - Construction of
Socio-economic Deprivation Indices for Analysis
of Routinely Collected data on Health Status of
Population with the Possibility of Using the GIS