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Table 1 List of variables and their measurements

From: Street-level workers’ inadequate knowledge and application of exemption policies in Burkina Faso jeopardize the achievement of universal health coverage: evidence from a cross-sectional survey

Variables

Measurement

Outcome indicators

 Knowledge of directives regarding exemptions for indigents

0 = No; 1 = Yes

 Application of indigent exemptions in facility (recoded)

Note: Question was recoded to 0 if response to filter question “knowledge of directive for indigents” was “no”

0 = No; 1 = Yes

 Knowledge of directive regarding delivery exemptions for indigents

0 = No; 1 = Yes

 Application of delivery exemptions for indigents (recoded)

Note: Question was recoded to 0 if response to filter question “knowledge of delivery exemption directive” was “no”

0 = No; 1 = Yes

Individual characteristics

 Sex of health worker

0 = Male; 1 = Female

 Age of health worker

Note: Variable was centred for regression models

Continuous

 Education of health worker (ordinal)

0 = No formal education or primary

1 = Junior high school

2 = Senior high school

3 = Higher education

 Health worker type

1 = Nurse (IDE, IB, nursing assistant) or medical doctor

2 = Midwife (midwife/birth attendant/assistant midwife (AA, AB))

3 = Mobile health worker (AIS)

 Head of health facility

0 = No; 1 = Yes

 Years worked at facility

Note: Variable was centred for regression models

Continuous

 Days of absence in past 30 days

Note: Variable was centred for regression models

Continuous (0–30)

 Performance feedback received during past 12 months

Note: 453 cases imputed due to missing values

0 = No; 1 = Yes

 Training in emergency obstetric and neonatal care

0 = No; 1 = Yes

 Training – pro-poor targeting

0 = No; 1 = Yes

 Training – user fee exemption

0 = No; 1 = Yes

 Training – health insurance

0 = No; 1 = Yes

 Training – facility (financial) management

0 = No; 1 = Yes

 Influence on decisions in facility (perception)

Scale: 0 = lowest to

10 = highest level

 Control over facility (perception)

Scale: 0 = lowest to

10 = highest level

Facility-level variables

 Urban/rural

0 = Rural

1 = Urban

 Health facility level

1 = Primary

2 = Secondary

3 = Private

 Number of clinical staff at facility

Continuous

District-level variables

 Indigent household share in district (20th percentile of asset index)

Note: household-level variables aggregated on district level

Continuous (0–1)

Secondary outcome indicator

 Preference for selection of x% of the population to be fully exempted

Categorical variable (1%, 5%, 10%, 20%, 25%)