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Table 2 Physician sample’s characteristics by city and gender

From: Feminization of the medical workforce in low-income settings; findings from surveys in three African capital cities

  Overall (331) Praia (n = 110) Maputo (n = 125) Bissau (n = 96)
Physician characteristics M (n= 178) F (n = 153) P M (n= 48) F (n = 62) P M (n = 61) F (n = 64) P M (n = 69) F (n= 27) P
Age (median years) 47 37 0.001 46 36 0.001 45 37 <0.001 49 48 0.11
Dependents (median) 4 2 <0.001 2 1 0.032 3 2 0.049 8 4 <0.001
Married (% yes) 81.4% 64.1% 0.368 68.8% 59.7% 0.327 80.3% 73.4% 0.212 91.2% 51.9% <0.001
Having a physician in the family 35.0% 60.3% <0.001 51.1% 58.7% 0.158 29.5% 50.8% 0.016 29.0% 73.1% <0.001
Working as a physician also outside the capital 18.6% 15.0% 0.657 27.7% 12.9% 0.053 19.7% 18.8% 0.896 11.6% 11.1% 1.000(a)
Holding a specialization 76.3% 52.3% 0.004 74.5% 58.1% 0.075 70.5% 42.2% 0.001 82.6% 63.0% 0.039
Public sector only 41.8% 42.8% 0.254 31.% 38.7% 0.259 36.1% 48.4% 0.373 53.6% 38.5% 0.008
Private sector only 10.2% 12.5% 0.657 17.0% 9.7% 0.373 4.9% 7.8% 0.260 10.1% 30.8% 0.165
Dual practice 48.0% 44.7% 0.456 51.1% 51.6% 0.345 50.0% 43.8% 0.567 36.2% 30.8% 0.458
Weekly working hours (public and private) 53.88 50.23 0.025 52.98 51.11 0.530 51.40 49.54 0.522 56.77 49.81 0.008
Public sector pay (2012 USD) 1472.48 1362.87 0.144 1056.15 887.36 0.030 386.96 360.12 0.577
  1. Note: quantitative variables: Mann–Whitney test; qualitative variables: chi-square test or the alternative (a) Fisher exact test.