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Table 3 Variables associated with intention to stay practice in Maluku Province

From: Factors associated with the rural and remote practice of medical workforce in Maluku Islands of Indonesia: a cross-sectional study

 

N valid cases

Intention to remain practice in Maluku Province

Univariate

Multivariate

Yes (%)

No (%)

p*

OR (CI 95%)

p*

OR (CI 95%)

Demography

 Gender (female)

248

70

69

0.881

1.05 (0.56–2.00)

  

 Age (less than mean 33.35)

231

62

80

0.014

0.41 (0.20–0.85)

  

 Marriage status (single)

248

48

59

0.153

0.65 (0.36–1.18)

  

 Have children under care (No)

248

57

74

0.018

0.46 (0.24–0.88)

  

Rural background

 Rural born

248

26

21

0.526

1.26 (0.62–2.58)

  

 Province of birth is Maluku

247

77

22

0.000

11.4 (5.65–23.1)

0.000

7.77 (3.42–17.7)

 Have rural living experience

248

42

38

0.621

1.17 (0.64–2.13)

  

 More than 10 years of rural living experience

248

19

22

0.562

0.81 (0.40–1.66)

  

Medical training and community exposure

 Graduated from Pattimura Medical School

248

37

12

0.000

4.25 (1.83–9.88)

0.033

3.06 (1.09–8.54)

 Multistage learning using community exposure

241

51

44

0.378

1.31 (0.72–2.38)

  

 Indicated positive impact of community exposure to medical practice

241

39

25

0.053

1.93 (0.99–3.78)

  

 Multifocal community exposure

241

73

61

0.100

1.69 (0.90–3.15)

  

 Experienced rural exposure during medical training

241

90

79

0.024

2.46 (1.10–5.48)

  

Employment factors

 General practitioners

248

83

91

0.124

0.47 (0.17–1.26)

  

 Temporary employment status

248

51

76

0.001

0.33 (0.17–0.65)

0.001

0.24 (0,10–0.57)

 Monthly salary more than IDR 6 million

248

31

33

0.807

0.92 (0.49–1.73)

  

 Having no additional practice

248

63

86

0.001

0.27 (0.12–0.60)

0.066

0.38 (0.17–1.07)

 Monthly take home pay more than IDR 12 million

248

31

24

0.348

1.38 (0.70–2.72)

  

 Currently work in rural/remote Maluku

247

62

66

0.670

0.88 (0.47–1.62)

  
  1. The bold emphasises the significance of the variables and their ORs
  2. *The Chi-square statistic is significant at the 0.05 level