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Table 1 Summary information on population survey data employed in the study

From: Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia

Health service utilization indicator

Household survey

Year

When the survey was conducted

Sampling strategies

Use of curative services by level of care and stratified by socio-economic status

Living Condition and Monitoring surveys (LCMS)

2006

January–December 2006

Stratified two-stage sampling technique: In the first stage, the primary units or enumeration areas (EAs) were drawn to probability proportional to the number of households counted in the EA (for a total of approximately 1000 EAs).

In the second stage, households were drawn in equal probability in each of the enumeration areas (for a total of approximately 20,000 households).

2010

January–April 2010

Use of institutional delivery by level of care and stratified by socio-economic status

Demographic and Health Survey (DHS)

2007

April – October 2007

Stratified two-stage sampling technique:

In the first stage, 320 EAs were selected with probability proportional to the SEA size. An EA is a convenient geographical area with an average size of 130 households or 600 people.

In the second stage, households were drawn with equal probability in each EA (for a total of approximately 8000 households).

Use of curative services and institutional deliveries by level of care and stratified by socio-economic status

Zambia Household Health Expenditure and Utilization Survey (ZHHEUS)

2014

January to April, 2014

A two-stage stratified cluster sample in the first stage, 320 EAs were selected within each stratum using the probability proportional to estimated size procedure. During the second stage, 20 households were selected from each EA using the systematic random sampling method. A total of 14,000 households were sampled and interviewed with replacements.