Table 5.
The results of heterogeneity analysis.
Outpatient care utilization rate in past 2 weeks (OR) | Annual outpatient expenditure | Inpatient care utilization rate (OR) | Annual inpatient expenditure | Annual out-of-pocket medical expenditure | Self-assessed health rate (OR) | |
---|---|---|---|---|---|---|
Model | Logit | Log-linear | Logit | Log-linear | Log-linear | Logit |
(A) Stratified by status in terms of income level | ||||||
INTERVENTION GROUP: URBMI | ||||||
High income | ||||||
Treatment effects | 0.9324 | 0.00620 | 1.0580 | 0.269 | 0.0102 | 1.3381 |
Time trends | 1.0745 | 0.102 | 0.9188 | −0.225 | 0.036 | 1.0187 |
Inter-group differences | 1.0814 | −0.476*** | 0.8124 | −0.345*** | −0.138 | 0.8070* |
R 2 | 0.212 | 0.137 | 0.139 | 0.353 | 0.246 | 0.112 |
Middle income | ||||||
Treatment effects | 0.2149 | −0.0111 | 0.9554 | 0.000362 | 0.00634 | 0.9877 |
Time trends | 0.8428 | 0.0648 | 0.9862 | −0.0463 | −0.0756 | 1.0667 |
Inter-group differences | 0.9550 | −0.236 | 0.9783 | −0.0329 | −0.0223 | 1.0387 |
R 2 | 0.233 | 0.134 | 0.154 | 0.410 | 0.261 | 0.103 |
Low income | ||||||
Treatment effects | 2.3936 | 0.0640 | 2.7036** | −0.0211 | −0.0338 | 2.2127 |
Time trends | 0.7594 | 0.00266 | 1.1553 | 0.114 | −0.0422 | 1.0273 |
Inter-group differences | 0.3658** | −0.486 | 0.4848 | 0.151 | −0.0291 | 0.9196 |
R 2 | 0.275 | 0.128 | 0.231 | 0.308 | 0.300 | 0.119 |
INTERVENTION GROUP: NRCMS | ||||||
High income | ||||||
Treatment effects | 0.9457 | −0.0072 | 1.4149*** | 0.1620 | 0.0627 | 1.0682 |
Time trends | 0.8885 | 0.0060 | 0.7608 | −0.1880 | 0.0133 | 1.0143 |
Inter-group differences | 1.3882** | −0.2780** | 0.7400** | −0.3030*** | −0.1450** | 1.1459 |
R 2 | 0.219 | 0.079 | 0.131 | 0.279 | 0.208 | 0.127 |
Middle income | ||||||
Treatment effects | 1.1557 | 0.1980 | 1.5297*** | −0.0985 | 0.0680 | 0.9217 |
Time trends | 0.9569 | −0.1350 | 0.7280 | −0.0132 | −0.1350 | 1.1036 |
Inter-group differences | 1.3641** | −0.3870*** | 0.6456*** | −0.1800** | −0.296*** | 1.3356** |
R 2 | 0.204 | 0.097 | 0.135 | 0.268 | 0.219 | 0.109 |
Low income | ||||||
Treatment Effects | 2.0319 | −0.0192 | 1.7807** | −0.0332 | 0.1860 | 1.0418 |
Time trends | 0.4792 | −0.0995 | 0.6540 | 0.1030 | −0.2030 | 1.0713 |
Inter-group differences | 0.6894 | −0.2200 | 0.5321*** | 0.0349 | −0.413*** | 1.1998 |
R 2 | 0.243 | 0.064 | 0.167 | 0.152 | 0.207 | 0.107 |
(B) Stratified by status in terms of chronic disease | ||||||
INTERVENTION GROUP: URBMI | ||||||
NCDs | ||||||
Treatment effects | 1.0786 | 0.0491 | 1.1494 | 0.0895 | 0.0182 | 1.3094 |
Time trends | 1.0568 | −0.0822 | 0.9230 | 0.0304 | 0.1170 | 1.0883 |
Inter-group differences | 1.0462 | −0.3020 | 0.8845 | −0.1460 | −0.0181 | 0.9970 |
R 2 | 0.224 | 0.065 | 0.114 | 0.266 | 0.145 | 0.093 |
Non-NCDs | ||||||
Treatment effects | 1.1234 | 0.0153 | 1.2001 | 0.2130 | 0.0230 | 0.1530 |
Time trends | 0.8372 | 0.2220 | 1.0050 | −0.1710 | −0.057 | 1.0517 |
Inter-group differences | 0.9136 | −0.4830*** | 0.8116 | −0.225** | −0.127 | 0.8984 |
R 2 | 0.156 | 0.064 | 0.062 | 0.445 | 0.168 | 0.061 |
Intervention group:NRCMS | ||||||
NCDs | ||||||
Treatment effects | 1.9233 | 0.0386 | 1.6361*** | −0.0524 | 0.0531 | 0.9473 |
Time trends | 0.8593 | −0.0371 | 0.7261** | −0.0607 | 0.0833 | 0.8899 |
Inter-group differences | 1.5658 | −0.3840*** | 0.6041*** | −0.3030*** | −0.2250*** | 1.3672 |
R 2 | 0.207 | 0.028 | 0.069 | 0.197 | 0.061 | 0.063 |
Non-NCDs | ||||||
Treatment effects | 1.1608 | 0.0766 | 1.4423*** | −0.0515 | 0.0310 | 0.9910 |
Time trends | 0.8309 | −0.0595 | 0.7453** | 0.0098 | −0.1020 | 1.0711 |
Inter-group differences | 1.2608** | −0.233** | 0.7043*** | −0.1150 | −0.2590*** | 1.2382*** |
R 2 | 0.163 | 0.043 | 0.055 | 0.284 | 0.144 | 0.069 |
P < 0.01,
P < 0.05,
P < 0.1.
We used regression to determine the treatment effects based on difference-in-difference (DID) model between the intervention and control groups, controlling for samples' age, gender, marital status, education level, income level, social status, and chronic diseases.