Table 4 Estimation of the logit regression model of factors influencing CHE for the study period (2007–2020)
From: The impact of government subsidy programs on equity in health financing
Variable | Odds ratio | Z statistical | p-value |
|---|---|---|---|
TSP | |||
Years of receiving subsidies for Households | Basic variable | ||
Years of non-receiving subsidies by | 1.03 (1–1.05) | 3.78 | > 0.001 |
Insurance | |||
Households without health insurance | Basic variable | ||
Households with medical insurance | 1.14 (1.09–1.18) | 4.59 | > 0.001 |
HTP | |||
Years before the plan | Basic variable | ||
Years after the implementation of the plan | 1.02 (1–1.05) | 3.72 | > 0.001 |
Size | 0.9 (0.89–0.92) | − 3.74 | > 0.001 |
Develop | |||
Households living in deprived provinces | Basic variable | ||
Households living in semi-developed provinces | 0.94 (0.90–0.98) | − 2.49 | > 0.012 |
Households in developed provinces | 0.9 (0.87–0.95) | − 4.7 | > 0.001 |
R_U | |||
Rural Households | Basic variable | ||
Urban Households | 0.71 (0.67–0.73) | − 14.2 | > 0.001 |
lnum | 0.91 (0.88–0.95) | − 2.19 | > 0.03 |
Empnum | |||
Households without any employed | Basic variable | ||
Households with 1 employed person | 0.75 (0.71–0.78) | − 11.02 | > 0.001 |
Households with 2 or more employed | 0.72 (0.69–0.75) | − 7.06 | 0.000 |
Decinc | 0.84 (0.8–0.88) | − 12.12 | > 0.001 |
Housing | |||
Households without a private house | Basic variable | ||
Households owning a private house | 0.89 (0.87–0.92) | − 3.74 | > 0.001 |
Elder | |||
Households without elderly | Basic variable | ||
Households of one elder | 1.31 (1.28–1.35) | 8.05 | > 0.001 |
Households with 2 or more elderly | 1.85 (1.8–1.89) | 11.34 | > 0.001 |
cons_ | 0.21 (0.2–0.21) | − 81.41 | > 0.001 |