Selection of SES factors for construction of socio-economic deprivation index (SESDI) in the Czech...
-
Upload
shayne-kehoe -
Category
Documents
-
view
223 -
download
0
Transcript of Selection of SES factors for construction of socio-economic deprivation index (SESDI) in the Czech...
Selection of SES factors for construction of socio-economic deprivation index (SESDI) in the Czech Republic
Šlachtová HanaTomášková HanaPolaufová PavlaŠplíchalová 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
NRL for GI S in Public HealthNRL for GI S in Public Health
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
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)
Introduction
Objective in three steps
three reviews focused on existing knowledge of measurement of deprivation, construction of indices and their relationship with health indicators - published in Czech (journal Hygiene)
18 applicable variables for 5 domains of material and social deprivation (housing quality, material standard, access to phone/PC/internet, family status and education)
Preparatory phase
Selection of index components
Material
census 2001 data 1/ district level (N=77) 2/ enumeration districts in the Moravian Region (N=5,114)
mortality data 2001 on the level of 77 Czech districts
final set of index components was reduced due to:
Reduction of index components
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 r=0.84 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
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
Statistical analysis
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Bruntal Frydek-Mistek
Karvina NovyJicin
Opava Ostrava
5
4
3
2
1
graph „ownership of housing“ map „ownership of cottage houses“
p<0.001
the results of analysis confirmed statistically significant differences between districts for all selected material and social factors (p < 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
Results
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
Final set of index components
5 factors of material deprivation
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 (%)
statistical analysis approved the final set of factors of material and social deprivation for construction of socio-economic deprivation index
Conclusion
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
Thank you for your kind attention...