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 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

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 % solution – variables were omitted similar distribution in all the districts e.g. water supply - varied from % 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 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 m 2 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 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...