Table 3 Fixed effects adjusted regression models for private-sector antibiotic consumption in High Focus and non-High Focus States in India, 2011–2019.

From: Determinants of private-sector antibiotic consumption in India: findings from a quasi-experimental fixed-effects regression analysis using cross-sectional time-series data, 2011–2019

Variable

Model 1

Model 2

High focus statesa

Non-high focus statesb

High focus statesc

Non-high focus states d

β [SE]

p value

β [SE]

p value

β [SE]

p value

β [SE]

p value

Population, in millions

− 0.022 [0.026]

0.438

− 0.286 [0.121]

0.040

Per capita GDP, in ₹ ‘000 s, at current prices

− 0.027 [0.015]

0.121

− 0.014 [0.012]

0.276

− 0.022 [0.015]

0.194

− 0.023 [0.010]

0.051

Per capita government spending on health, in ₹ ‘000 s

− 0.872 [0.166]

0.001

− 1.694 [0.736]

0.044

− 1.087 [0.379]

0.024

− 1.50 [0.682]

0.052

Girls’ education enrollment, %

− 0.054 [0.070]

0.469

− 0.151 [0.047]

0.009

− 0.066 [0.062]

0.314

− 0.195 [0.044]

0.001

Measles Vaccination rate, per 1000 children

0.001 [0.001]

0.282

− 0.002 [0.001]

0.068

0.001 [0.001]

0.258

− 0.002 [0.001]

0.098

Incidence of LRTI, per 100 population

1.286 [0.576]

0.061

2.137 [0.595]

0.005

1.215 [0.583]

0.076

2.236 [0.541]

0.003

Number of states

11

8

11

8

Number of observations

99

72

99

72

  1. Model 1 did not adjust for population changes, Model 2 adjusted for population changes.
  2. Significant values are in [bold].
  3. GDP gross domestic product, LRTI lower respiratory tract infection, SE standard error.
  4. acorr (u_i, Xb) = − 0.8271; rho = 0.96; R-squared: Within = 0.5501; Between = 0.2397; Overall = 0.1037.
  5. bcorr (u_i, Xb) = − 0.8625; rho = 0.98; R-squared: Within = 0.4647; Between = 0.2871; Overall = 0.2202.
  6. ccorr(u_i, Xb) = − 0.8825; rho = 0.97; R-squared: Within = 0.5548; Between = 0.2442; Overall = 0.1278.
  7. dcorr(u_i, Xb) = − 0.7489; rho = 0.98; R-squared: Within = 0.4890; Between = 0.1159; Overall = 0.1232.