Socio-economic deprivation index of the Czech Republic construction Tomášková Hana Šlachtová Hana Polaufová Pavla Šplíchalová Anna NRL for GIS in Public Health Institute of Public Health in.
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Socio-economic deprivation index of the Czech Republic construction Tomášková Hana Šlachtová Hana Polaufová Pavla Šplíchalová Anna NRL for GIS in Public Health 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 Final set of factors for the construction of index: Material factors - ownership of accommodation (including recreational), car, phone and density of housing; Social factors - proportion of basic education, unemployed and singles (men, women). Two methods were used for creating the deprivation index based on: 1/ Townsend index that was calculated as a sum of Z-scores of specific factors (INDEX1). 2/ MATDEP and SOCDEP that use standardized score (INDEX2). Methods for analysis and presentation of data: • Pearsons correlation coefficient was applied for analysis of relationship between indices. • Software Stata v. 9 • The GIS (Geographical Information System – software ArcView v. 9.0) was used for presentation of enumeration districts deprivation. The deprivation indices were firstly constructed on the Moravian region census enumeration districts level. Table - Basic characteristics of selected factors on ED level Number of ED Mean (X) Standard deviation (s) MF1 – other than family houses (%) 4 840 65.78 MF2 - dwelling area (m2) 4 839 MF3 - no car (%) Factor Min. Max. 36.27 0 100 17.88 3.72 4 49 4 840 49.67 12.40 0 100 MF4 - no phone (%) 4 840 24.91 11.48 0 100 MF5 - no weekend cottage (%) 4 840 82.95 14.25 0.84 100 SF1 - unemployment (%) 4 901 15.93 9.34 0 100 SF2F - single women (%) 4 899 54.28 8.60 0 100 SF2M – single men (%) 4 889 52.16 8.16 0 100 SF3 – basic education (%) 4 903 26.50 9.67 0 98.1 INDEX1 Z-score is based on individual observations (X), arithmetic mean of all observations (X) and standard deviation (s). The calculation of Zscore is based on formula XX Z s and creation of INDEX1 is based on formula: INDEX 1 MF1 65.78 17.88 MF2 MF3 49.67 MF4 24.91 MF5 82.95 36.27 3.72 12.40 11.48 14.25 SF1 15.93 SF2 Ž 54.28 SF2 M 52.16 SF3 26.50 9.34 8.60 8.16 9.67 Positive/negative value of Z-score indicates that the observation is higher/lower than average value. INDEX1 measures both affluence and deprivation. INDEX2 This index was constructed using method MATDEP and SOCDEP index. The values of specific factors for each enumeration district were divided by maximum value of all ED for specific factor. INDEX2 was prepared separately for material deprivation (INDEX2mat) MF3 MF4 MF5 MF1 MF2 INDEX 2m at (1 ) 100 49 100 100 100 and for social deprivation (INDEX2soc). SF1 SF2 Ž SF2 M SF3 INDEX 2soc 100 100 100 98.1 These sub-indices were based on corresponding material and social factors. The resulting INDEX2 was sum of these two sub-indices. INDEX 2 INDEX 2mat INDEX 2soc Relationship between INDEX1 and INDEX2 Regression and correlation analysis was used for the analysis of relationship between indices. Correlation was high, especially between INDEX1 and INDEX2 (r = 0.95) Table - Correlation matrix - ED (n = 4838) INDEX2 1.00 INDEX2 0.95 1.00 INDEX2mat 0.82 0.95 INDEX2soc 0.90 0.77 20 30 INDEX1 INDEX2 mat 1.00 0 10 0.53 -10 INDEX1 = 7.37 INDEX2 - 32.11 r = 0.9544 -20 INDEX1 2 4 6 INDEX2 INDEX1 Fitted values 8 Verification of indices The Moravian region is determined by the districts: Bruntal, Frydek-Mistek, Novy Jicin, Karvina, Opava, Ostrava and Karvina 6.9% of the territory of the Czech Republic Districts Bruntál, Karvina, Ostrava Novy Jicin, Frydek-Mistek, Opava Bruntal – isolated mountain area Ostrava and Karvina - slow-down in coal mining and heavy industry Frydek-Místek - rapid progress in building of new housing Opava and Novy Jicin – the best situation INDEX1 INDEX2 0.53 – 1.80 4.50 – 4.52 -1.79 – -0.50 4.08 – 4.24 Conclusion • Analysis of indices' values of the Moravian districts showed that these indices were able to give the real information of the study areas' socio-economic deprivation. Of course the indices have some limitations. The most serious is actuality of indices in the period beetween census. • Correlation between both indices was high (r = 0.95). INDEX1 provides the information on level of deprivation in more detail. • In the next phases both indices (INDEX1, INDEX2) and two their sub-indices (INDEX2mat, INDEX2soc) were calculated on the all districts of the Czech Republic and used for analysis of association between socioeconomic deprivation and selected health indicators. Thank you for your attention !!!