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Table 2 Coefficient estimates expressed as incidence rate ratios (IRR) from a negative binomial model associating nurse/midwife-to-population ratio (NMPR) and physician-to-population ratio (PPR) with macro-level variables at the country level

From: Examining the influence of country-level and health system factors on nursing and physician personnel production

Variable

NMPR

PPR

Model 1

Model 2a

Model 3a

Model 1

Model 2a

Model 3a

Population characteristics

 Schooling (years)

1.216***

1.183***

1.185***

1.221***

1.192***

1.189***

 Migrate (ref = zero migration)

  Emigrant

1.460*

1.441*

1.458*

2.121***

1.848***

1.757***

  Immigrant

1.434

1.341

1.321

1.641**

1.449

1.456

 Urban population (%)

1.003

0.999

0.999

1.019***

1.010**

1.010**

Health system characteristics

 Beds-per-1000 people

1.104***

1.108***

1.110***

1.167***

1.151***

1.145***

 Public health exp

1.009

1.011

1.006

0.941

0.934*

0.953

 Private health exp

0.954

0.993

0.992

1.03

1.054

1.061

Political system (ref = democracy)

 Autocracy

 

1.045

1.042

 

0.943

0.94

 Anocracy

 

1.407

1.421*

 

1.17

1.137

Economy

 Gini

 

1

1

 

0.995

0.996

 WB income (ref = high)

  Middle

 

0.699

0.709

 

0.902

0.837

  Low

 

0.322***

0.333***

 

0.339***

0.303***

 External debt

 

0.958

0.958

 

1.009

1.014

 GDPPPP

 

1.003

1

 

1.052

1.058

Social inequality

 GEM

  

1.243

  

0.461

Sample size

173

184

184

173

184

184

Maximum likelihood R2

0.566

0.625

0.627

0.651

0.721

0.729

  1. WB World Bank, GEM gender empowerment measure, GDPPPP GDP per person
  2. ***p < 0.001; **p < 0.01; *p < 0.05
  3. aMissing data in income was imputed using the ICE method