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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)