This dataset contains sample data for computing non-ordered summary measures of health inequality. It contains data from a household survey for two indicators, the proportion of births attended by skilled health personnel and under-five mortality rate, disaggregated by subnational region.
Format
NonorderedSampleMultipleind
A data frame with 71 rows and 11 columns:
- indicator
indicator name
- dimension
dimension of inequality
- subgroup
population subgroup within a given dimension of inequality
- estimate
subgroup estimate
- se
standard error of the subgroup estimate
- population
number of people within each subgroup
- setting_average
indicator average for the setting
- favourable_indicator
favourable (1) or non-favourable (0) indicator
- ordered_dimension
ordered (1) or non-ordered (0) dimension
- indicator_scale
scale of the indicator
- reference_subgroup
reference subgroup
Source
WHO Health Inequality Data Repositoryhttps://www.who.int/data/inequality-monitor/data head(NonorderedSampleMultipleind) summary(NonorderedSampleMultipleind)
Details
The proportion of births attended by skilled health personnel is calculated as the number of births 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. 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).
The under-five mortality rate is the probability (expressed as a rate per 1000 live births) of a child born in a specific year or period dying before reaching the age of five years. It is calculated as the number of deaths at age 0-5 years divided by the number of surviving children at the beginning of the specified age range during the 10 years prior to the survey.
Subnational regions are defined using country-specific criteria. Subnational region is a non-ordered dimension (meaning that the subgroups do not have an inherent ordering).
This dataset can be used to calculate non-ordered summary measures of health inequality, including: between-group variance (BGV), between-group standard deviation (BGSD), coefficient of variation (COV), mean difference from mean (MDM), index of disparity (IDIS), Theil index (TI) and mean log deviation (MLD). It can also be used to calculate the impact measures population attributable risk (PAR) and population attributable fraction (PAF).