Table 7.
Logistic regression results showing impact of free drugs on treatment outcomes using matched dataset; N = 23,242
Model A | Model B | Model C | Model D | Model E | Model F | |
---|---|---|---|---|---|---|
Free drugs (Odds ratio) | 1.482*** | 1.4945*** | 1.5028*** | 1.5364*** | 1.4381*** | 1.4519*** |
95% C.I. | (1.326, 1.657) | (1.336 1.672) | (1.342, 1.682) | (1.370, 1.722) | (1.278, 1.618) | (1.288, 1.637) |
All Covariates | Yes | Yes | Yes | Yes | ||
Diagnosing Quarter FE | Yes | Yes | Yes | Yes | ||
District FE | Yes | |||||
Treatment Coordinator FE | Yes | Yes | ||||
Observations | 23,242 | 23,242 | 23,242 | 23,242 | 23,242 | 23,242 |
Log Likelihood | -5,152.60 | -4,978.19 | -4,976.30 | -4,855.65 | -4,861.64 | -4,690.78 |
Akaike Inf. Crit. | 10,309.20 | 9,972.39 | 9,976.60 | 9,747.30 | 10,021.30 | 9,691.57 |
Note: (a) 95% C.I. based on robust standard errors; (b) All models were fit on the matched dataset; b) *p < 0.1; **p < 0.05; ***p < 0.01