Based on previous studies on the use of maternal services, the independent variables used in this study include education (coded as none, primary and secondary/higher); household wealth; urban-rural residence; and ethnicity [9 (link),25 (link),29 (link)-32 (link)]. Since DHS do not collect data on income or expenditures, the economic status of household is proxied by a household wealth variable constructed from household possessions and amenities and dwelling characteristics, using principal component analysis [33 ]. For the purpose of this study, the resulting continuous variable (wealth index) was recoded as tertiles with categories labelled poor, middle and rich. Other control variables are parity, age at birth of the child and marital status.
Maternal Healthcare Utilization Patterns
Based on previous studies on the use of maternal services, the independent variables used in this study include education (coded as none, primary and secondary/higher); household wealth; urban-rural residence; and ethnicity [9 (link),25 (link),29 (link)-32 (link)]. Since DHS do not collect data on income or expenditures, the economic status of household is proxied by a household wealth variable constructed from household possessions and amenities and dwelling characteristics, using principal component analysis [33 ]. For the purpose of this study, the resulting continuous variable (wealth index) was recoded as tertiles with categories labelled poor, middle and rich. Other control variables are parity, age at birth of the child and marital status.
Corresponding Organization :
Other organizations : African Population and Health Research Center, University of Nairobi
Protocol cited in 14 other protocols
Variable analysis
- Education (coded as none, primary and secondary/higher)
- Household wealth
- Urban-rural residence
- Ethnicity
- Timing of first ANC visit
- Type of delivery assistance
- Parity
- Age at birth of the child
- Marital status
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