Skip to main content

Table 4 Multiple regression models explaining pharmaceutical expenditure

From: Predictors of primary health care pharmaceutical expenditure by districts in Uganda and implications for budget setting and allocation

 

Model 1

Model 2

Model 3

Model 4

Model 5

Model 6

Model 7

Model 8

PHCPETotal

InPHCPETotal

PHCPEFacility

InPHCPEFacility

PHCPECapita

In. PHCPECapita

PHCPEVisit

InPHCPEVisit

Constant

43478.008

11.417*

13657.011*

9.467*

−0.500

−1.168*

3.061*

−0.372

POPTOT

0.226*

       

OPDCAPITA

    

0.320*

0.345*

−0.580*

−0.465*

OPD TOTAL

 

0.00000056*

      

DPT3COVER

 

0.003

36.566*

0.003*

    

RURALPOV

    

−0.012*

−0.009*

−0.016*

−0.010*

HPI

    

0.026*

0.021*

 

0.020*

LABOURABSRATE

  

−91.918*

−0.007*

  

−0.014

 

URBANISATION

 

−0.014

−122.072

−0.010

    

LITERATETOT

  

78.085*

0.006*

   

0.009*

LITRATEMale

    

0.012

   

LITRATEFemale

     

0.008

  

DISTAGE

        

HFGOVTOT

9970.501*

0.053*

      

HCIITOT

 

−0.39*

      

PERCHCII

−159186.625*

 

−9569.914*

−0.776*

    

PERCHCIII

        

PERCHCIV

  

31533.892*

2.467*

    

DISTACCESS

    

0.362*

0.341*

0.461*

0.384*

N

87

87

87

87

87

87

87

87

F

99.325

64.453

15.064

15.801

18.067

15.655

13.543

21.764

R2

0.892

0.809

0.547

0.558

0.543

0.507

0.413

0.589

Adjusted R2

0.821

0.797

0.510

0.523

0.513

0.475

0.382

0.562

Significance

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

  1. *(p < 0.01)