OrderedSample {healthequal}

World Health Organization (WHO)

Description

This dataset contains sample data for computing ordered summary measures of health inequality. It contains data from a household survey for the proportion of births attended by skilled health personnel disaggregated by economic status, measured by wealth quintiles.

Usage

OrderedSample

Format

OrderedSample

A data frame with 5 rows and 11 columns.

indicator

indicator name

dimension

dimension of inequality

subgroup

population subgroup within a given dimension of inequality

subgroup_order

the order of subgroups in an increasing sequence

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

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).

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). It can also be used to calculate the impact measures population attributable risk (PAR) and population attributable fraction (PAF).

Source

WHO Health Inequality Data Repositoryhttps://www.who.int/data/inequality-monitor/data

Examples

head(OrderedSample)
summary(OrderedSample)