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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.