Table 5 Determinants of inefficiencies in district hospitals of Bangladesh
From: Technical efficiency of public district hospitals in Bangladesh: a data envelopment analysis
Variables | Coefficient (dependent variable = CRS technical inefficiency) | Coefficient (dependent variable = VRS technical inefficiency) |
|---|---|---|
Population | ||
1 to 2.5 million (Ref ≤ 1 million) | − 0.117 (− 0.345, 0.111) | 0.091 (− 0.122, 0.304) |
Over 2.5 million (Ref ≤ 1 million) | − 0.238* (− 0.497, 0.021) | 0.059 (− 0.183, 0.301) |
Poverty headcount | ||
15% to 30% (Ref ≤ 15%) | − 0.422** (− 0.784, − 0.059) | − 0.376** (− 0.720, − 0.032) |
30% > (Ref ≤ 15%) | − 0.256 (− 0.601, 0.090) | − 0.340** (− 0.669, − 0.011) |
Bed occupancy ratio | − 0.637*** (− 0.813, − 0.462) | − 0.248*** (− 0.407, − 0.090) |
Average length of stay | 0.031 (− 0.016, 0.078) | 0.026 (− 0.018, 0.070) |
Ratio of beds to physicians | − 0.046*** (− 0.074, − 0.018) | − 0.006 (− 0.031, 0.020) |
Ratio of beds to nurses | − 0.055** (− 0.109, − 0.000) | 0.009 (− 0.043, 0.060) |
Administrative division | ||
Chittagong (Ref = Barisal) | − 0.372** (− 0.718, − 0.027) | 0.007 (− 0.288, 0.303) |
Dhaka (Ref = Barisal) | − 0.442*** (− 0.761, − 0.124) | − 0.060 (− 0.335, 0.214) |
Khulna (Ref = Barisal) | − 0.291* (− 0.619, 0.038) | 0.059 (− 0.226, 0.345) |
Mymensingh (Ref = Barisal) | − 0.242 (− 0.664, 0.180) | 0.136 (− 0.243, 0.515) |
Rajshahi (Ref = Barisal) | − 0.461** (− 0.818, − 0.105) | 0.133 (− 0.182, 0.448) |
Rangpur (Ref = Barisal) | − 0.248 (− 0.550, 0.054) | 0.086 (− 0.186, 0.358) |
Sylhet (Ref = Barisal) | 0.022 (− 0.355, 0.399) | 0.337* (− 0.010, 0.684) |
Constant | 2.363*** (1.602, 3.124) | 0.616* (− 0.063, 1.294) |
Sigma | 0.256*** (0.205, 0.307) | 0.244*** (0.198, 0.289) |
N | 62 | 62 |
Log-likelihood | − 10.74 | − 3.845 |
Chi square (10) | 56.71 | 23.32 |
p-value | 0.000 | 0.08 |
R-square | 0.730 | 0.752 |