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Table 1 Definition of variables in the analysis

From: Determinants for participation in a public health insurance program among residents of urban slums in Nairobi, Kenya: results from a cross-sectional survey

Variable

Operational definition

Dependent variable

 

Enrolment in NHIF

Yes = 1 and No = 0

Key independent variables

 

Type of employment sector

1 = Formal sector and 0 = Informal sector

Participation in the National Social Security Fund (NSSF)

Yes = 1 and No = 0

Participation in savings and credit cooperative organizations (SACCOs)

Yes = 1 and No = 0

Participation in community-based savings groups

Yes = 1 and No = 0

Other independent variables

 

Income in the last one montha

0 = Non-poor, 1 = Poor, and 2 = Don't know/missing

Gender

1 = Female and 0 = Men

Marital status

1 = Currently in union, 2 = Formerly in union, and 3 = Never in union

Age of respondents

0 = Less than 24 years, 1 = 24-29 years, 2 = 30-39 years, 3 = 40-49 years, and 4 = 50+ years

Education

0 = Never attended school, 1 = Primary, and 2 = Secondary/higher

Slum residence

0 = Viwandani and 1 = Korogocho

Ethnicity

0 = Kikuyu, 1 = Luhya, 2 = Luo, 3 = Kamba, and 4 = Other

  1. aIndividuals who earned less than USD 1.25 per day fell below the World Bank-defined poverty line and were categorized as poor, while those who earned this amount and above were defined as non-poor.