Table 5.
Data, methods and covariates used in studies that reported adjusted results
| Methods | Studies (N = 17) | |
|---|---|---|
| n | % | |
| Data sources used | ||
| Publicly available datasets e.g., DHS, MICs | 14 | 82.4 |
| Study specific surveys | 3 | 17.6 |
| Statistical methods used | ||
| Propensity Score Analysis/Propensity Score Matching | 10 | 58.8 |
| Difference In Difference | 2 | 11.8 |
| Regression discontinuity design | 1 | 5.9 |
| Others | 4 | 23.5 |
| Effect measures | ||
| Average Treatment Effect | 8 | 47.1 |
| Average Treatment Effect on the Treated | 6 | 35.3 |
| Marginal effects | 1 | 5.9 |
| Odds ratios | 1 | 5.9 |
| Absolute risk difference | 1 | 5.9 |
| Self-selection adjustment | ||
| Yes | 17 | 100.0 |
| Reference group | ||
| Uninsured/ before insurance | 17 | 100.0 |
| Covariates | ||
| Demographic characteristics of the womana | ||
| Education | 13 | 76.5 |
| Age | 13 | 76.5 |
| Marital status | 10 | 58.8 |
| Employment status | 8 | 47.1 |
| Parity/number of children | 6 | 35.3 |
| Religion | 5 | 29.4 |
| Ethnicity | 2 | 11.8 |
| Household characteristicsa | ||
| Wealth status | 13 | 76.5 |
| Exposure to media | 6 | 35.3 |
| Education status of the household head | 6 | 35.3 |
| Household size | 5 | 29.4 |
| Age of household head | 2 | 11.8 |
| Sex of household head | 2 | 11.8 |
| Partner demographics | ||
| Partner's employment status | 1 | 5.9 |
| Partner education | 1 | 5.9 |
| Community characteristicsa | ||
| Place of residence (rural/urban) | 10 | 58.8 |
| Geographical location | 5 | 29.4 |
| Distance to the health facility | 3 | 17.6 |
| Perceptions | ||
| Distance to health facility perceived as a difficulty | 1 | 5.9 |
| Quality of care | 1 | 5.9 |
| Insurance coverage | 1 | 5.9 |
aOnly methods used by more than one study were included in this table