This dataset contains sample data for computing non-ordered summary measures of health inequality. It contains data from a household survey for two indicators, births attended by skilled health personnel (sba) and Diphtheria tetanus toxoid and pertussis (DTP3) immunization coverage, disaggregated by economic status. Both indicators are binary, (1) for those who had sba or dpt3 or (0) if the had not.
Format
IndividualSample
A data frame with 17,848 rows and 10 columns:
- id
individual identifier
- psu
Primary Sample Unit (PSU)
- strata
sampling strata
- weight
sampling weight
- subgroup
subgroup name
- subgroup_order
subgroup order
- sba
indicator estimate
- dtp3
indicator estimate
- favourable_indicator
favourable (1) or non-favourable (0) indicator
- indicator_scale
scale of the indicator
Source
WHO Health Inequality Data Repositoryhttps://www.who.int/data/inequality-monitor/data
Details
Births attended by skilled health personnel is defined as a birth attended by skilled health personnel divided by the total number of live births to women aged 15-49 years occurring in the period prior to the survey. Skilled health personnel include doctors, nurses, midwives and other medically trained personnel, as defined according to each country. DPT3 is measured among one-year-olds and indicate those who have received three doses of the combined diphtheria, tetanus toxoid and pertussis containing vaccine in a given year.This is in line with the definition used by the Countdown to 2030 Collaboration, Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and Reproductive Health Surveys (RHS).
Economic status is determined using a wealth index, which is based on owning selected assets and having access to certain services. The wealth index is divided into five equal subgroups (quintiles) that each account for 20% of the population. Economic status is an ordered dimension (meaning that the subgroups have an inherent ordering).
This dataset can be used to calculate ordered summary measures of health inequality, including: absolute concentration index (ACI), relative concentration index (RCI), slope index of inequality (SII) and relative index of inequality (RII).
Examples
head(IndividualSample)
#> id psu strata weight subgroup subgroup_order sba dtp3
#> 1 1 88 1 0.351672 Quintile 3 3 1 NA
#> 2 2 1337 38 0.431545 Quintile 1 (poorest) 1 1 1
#> 3 3 450 18 0.482483 Quintile 2 2 1 NA
#> 4 4 1692 56 0.407390 Quintile 1 (poorest) 1 0 NA
#> 5 5 752 23 1.547062 Quintile 5 (richest) 5 1 NA
#> 6 6 1033 30 2.429523 Quintile 5 (richest) 5 1 NA
#> favourable_indicator indicator_scale
#> 1 1 100
#> 2 1 100
#> 3 1 100
#> 4 1 100
#> 5 1 100
#> 6 1 100
summary(IndividualSample)
#> id psu strata weight
#> Min. : 1 Min. : 1 Min. : 1.0 Min. :0.06301
#> 1st Qu.: 4463 1st Qu.: 474 1st Qu.:19.0 1st Qu.:0.35973
#> Median : 8924 Median :1066 Median :30.0 Median :0.84977
#> Mean : 8924 Mean :1016 Mean :32.3 Mean :0.95358
#> 3rd Qu.:13386 3rd Qu.:1546 3rd Qu.:50.0 3rd Qu.:1.42668
#> Max. :17848 Max. :1970 Max. :68.0 Max. :5.40138
#>
#> subgroup subgroup_order sba dtp3
#> Length:17848 Min. :1.000 Min. :0.0000 Min. :0.000
#> Class :character 1st Qu.:1.000 1st Qu.:1.0000 1st Qu.:1.000
#> Mode :character Median :3.000 Median :1.0000 Median :1.000
#> Mean :2.761 Mean :0.7667 Mean :0.751
#> 3rd Qu.:4.000 3rd Qu.:1.0000 3rd Qu.:1.000
#> Max. :5.000 Max. :1.0000 Max. :1.000
#> NA's :14313
#> favourable_indicator indicator_scale
#> Min. :1 Min. :100
#> 1st Qu.:1 1st Qu.:100
#> Median :1 Median :100
#> Mean :1 Mean :100
#> 3rd Qu.:1 3rd Qu.:100
#> Max. :1 Max. :100
#>