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Table 2 Logistic regression models of physicians’ anticipated willingness to work in various scenarios

From: Alberta family physicians’ willingness to work during an influenza pandemic: a cross-sectional study

Scenario

Predictor

OR

Std. Error

Z

P > |z|

95% Conf. Interval

If there was a greater than usual risk of infecting your family at home

Female

0.30

0.10

−3.51

0.000

0.15 – 0.59

British

5.07

3.20

2.57

0.010

1.47 – 17.49

If you were asked to take on different or additional work/duties for which you have not been trained

Female

0.45

0.15

−2.40

0.016

0.23 – 0.86

Sth Afr

2.42

1.06

2.01

0.044

1.02 – 5.70

If you were asked to work more hours

Rural

2.35

0.90

2.24

0.025

1.11 – 4.97

If your children fell ill

Female

0.46

0.17

−2.10

0.036

0.22 – 0.95

If you or your spouse/partner were pregnant

Female

0.16

0.13

−2.32

0.02

0.035 – 0.75

If your colleagues were dying

Female

0.34

0.11

−3.22

0.001

0.18 – 0.66

Sth Afr

2.44

1.11

1.97

0.049

1.00 – 5.97

If there was shortage of fuel, leading to disruption of transport (private or public)

Female

0.37

0.12

−3.11

0.002

0.20 – 0.70

Rural

2.45

0.87

2.52

0.012

1.22 – 4.92

If you had to make decisions about not treating certain patients because of resource constraints

Female

0.32

0.10

−3.65

0.000

0.17 – 0.59

  1. Odds ratio above 1 signifies that doctors with the condition are more likely to keep working, lower than 1 less likely to keep working.
  2. Female = compared to males.
  3. Sth Afr = physicians who completed primary medical education in South Africa compared to all other countries.
  4. British = physicians who completed primary medical education in Australia, Ireland and The United Kingdom compared to all other countries.
  5. Rural = Physicians working in rural locations compared to all other physicians in survey.
  6. Note: There was no significant effect on response by sex, age, location of practice, or country of primary medical education for the remaining scenarios:
  7. *#x2022; If there was a greater than usual risk of becoming infected at work and falling ill yourself.
  8. *#x2022; If schools/nurseries were closed or other childcare services were disrupted.
  9. *#x2022; If your spouse/partner fell ill.
  10. *#x2022; If you were asked to work at a different hospital/healthcare practice from normal.
  11. *#x2022; If you had to work with untrained volunteers or workers brought out of retirement.