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Table 2 Regression Model Examining the Effect of Sector and Medicine Type on Availability and Price

From: Evaluating medicine prices, availability and affordability in Bangladesh using World Health Organisation and Health Action International methodology

  CoeffICIENT Std. Err. t VALUE P VALUE 95% ConfIDENCE Interval
    Availability   
PUBLIC SECTOR Reference
- PRIVATE RETAIL 0.252 0.025 9.91 < 0.001 0.202 0.302
- PRIVATE CLINICS 0.176 0.026 6.84 < 0.001 0.126 0.227
INFECTIOUS DISEASE Reference
- NCD −0.143 0.023 −6.33 < 0.001 − 0.187 − 0.098
- UNCATEGORIZED 0.145 0.032 4.58 < 0.001 0.083 0.207
- GLOBAL 0.185 0.026 7.26 < 0.001 0.135 0.235
- ESSENTIAL MEDICINES −0.086 0.032 −2.69 0.007 −0.149 − 0.023
BARISAL Reference
- CHITTAGONG 0.052 0.038 1.39 0.165 −0.022 0.126
- DHAKA 0.113 0.036 3.16 0.002 0.043 0.183
- DINAJPUR 0.103 0.037 2.82 0.005 0.031 0.174
- KHULNA 0.030 0.035 0.84 0.404 −0.040 0.099
- SYLHET 0.049 0.037 1.32 0.186 −0.024 0.120
CONSTANT 0.418 0.044 9.49 < 0.001 0.332 0.505
    Median Price Ratio    
Public sector Reference
- Private retail 0.768 0.179 4.30 < 0.001 0.415 1.120
- Private Clinics 0.809 0.182 4.44 < 0.001 0.449 1.170
Infectious Disease Reference
- NCD −0.486 0.170 −2.85 0.005 −0.823 −0.149
- uncategorized −0.507 0.253 −2.00 0.047 −1.010 −0.007
Global 0.659 0.193 3.42 0.001 0.277 1.040
- essential medicines 0.262 0.147 1.79 0.076 −0.028 0.552
- constant 0.889 0.168 5.30 < 0.001 0.557 1.220
  1. Source: Authors’ Data
  2. Notes: STD. ERR. = Standard Error. The number of observations for the analysis of availability was 1098, and for MPR was 144. The models were estimated with robust standard errors