Table 4.
Subgroup analysis of the impact of the NRCMS on medical care utilisation by region
| Formal care | Preventive care | Folk doctor use | Inpatient care | Village clinics | Township health centres | County hospitals | City hospitals | Pr (OOP > 0) | Log of OOP if positive | |
|---|---|---|---|---|---|---|---|---|---|---|
| Subgroup analysis by regions | ||||||||||
| Eastern provinces | − 0.012 (0.019) | − 0.009 (0.019) | − 0.076** (0.031) | − 0.006 (0.086) | 0.029 (0.164) | 0.022 (0.184) | − 0.081 (0.195) | 0.078* (0.046) | 0.159*** (0.050) | − 0.057 (0.504) |
| N | 4757 | 4808 | 4077 | 362 | 359 | 359 | 359 | 359 | 654 | 518 |
| Middle provinces | − 0.007 (0.028) | 0.001 (0.018) | − 0.033 (0.023) | 0.010 (0.048) | 0.224*** (0.058) | − 0.065 (0.104) | − 0.001 (0.066) | − 0.086 (0.053) | − 0.119 (0.088) | − 0.418 (0.331) |
| N | 10,239 | 10,269 | 8748 | 1090 | 1082 | 1082 | 1082 | 1082 | 1593 | 1195 |
| Western provinces | 0.039 (0.036) | 0.062 (0.042) | − 0.034 (0.046) | 0.092* (0.050) | 0.197 (0.189) | − 0.193 (0.230) | 0.136 (0.096) | − 0.164* (0.098) | 0.452*** (0.175) | − 0.334 (0.343) |
| N | 5328 | 5354 | 4497 | 604 | 601 | 601 | 601 | 601 | 889 | 676 |
Notes: Results from linear probability model (LPM) controlling for the province and year dummies. Robust standard errors clustered at county level in brackets.
Other independent variables include age, gender, household size, marital status, ethnicity, household income, asset index, education level, occupation, number of major diseases, severity of illness in the last month, health risk variables and urbanicity index at community level.
*Indicates statistical significant at the 10% level; **indicates statistical significant at the 5% level; ***indicates statistical significant at the 1% level.