1 / 9

Selection of SES factors for construction of socio-economic deprivation index (SESDI) in the Czech Republic

This study explores the relationship between socio-economic factors and health status, and aims to create a combined index of deprivation using data collected at the district level in the Czech Republic. The study includes a selection of SES factors, construction of the deprivation index, and its use for analyzing mortality differences. The final set of index components includes factors of material and social deprivation.

madget
Download Presentation

Selection of SES factors for construction of socio-economic deprivation index (SESDI) in the Czech Republic

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Selection of SES factors for construction of socio-economic deprivation index (SESDI) in the CzechRepublic 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

  2. 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)

  3. 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 (N=77) 2/ enumeration districts in the Moravian Region (N=5,114) • mortality data2001 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)

  4. 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 statussolution – variables were omitted • found inter-correlation e.g. proportion of family houses and ownership of housing r=0.84solution – only one variable was used for index creation • found overlapping of some variables e.g. complete and incomplete families with and without childrensolution – only one variable was used for index creation

  5. 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 p<0.001 graph „ownership of housing“ map „ownership of cottage houses“

  6. Results • 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

  7. 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 (%)

  8. Conclusion • statistical analysis approved the final set of factors of material and social deprivationfor construction of socio-economic deprivation index

  9. Thankyou 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

More Related