Table 3 Factors affecting health workers' rural work decisions: odds ratios from conditional logistic regressions

Working more than 48 h per week

0.623

(0.497, 0.780)

 < 0.001

Working more than 48 h per week

0.715

(0.654, 0.782)

 < 0.001

Employment beyond one's hometown

0.588

(0.471, 0.733)

 < 0.001

Employment beyond one's hometown

0.476

(0.435, 0.522)

 < 0.001

Opportunities to continue study

0.957

(0.758, 1.207)

0.710

Opportunities to continue study

1.198

(1.096, 1.309)

 < 0.001

Higher income than their counterparts working in urban areas by 20%

1.591

(1.064, 2.377)

0.024

Higher income than counterparts working in urban areas by

20%

1.355

(1.167, 1.573)

 < 0.001

Higher income than their counterparts working in urban areas by 40%

4.227

(2.678, 6.673)

 < 0.001

Higher income than their counterparts working in urban areas by 40%

1.985

(1.677, 2.350)

 < 0.001

Higher income than their counterparts working in urban areas by 60%

8.273

(5.125, 13.353)

 < 0.001

Higher income than their counterparts working in urban areas by 60%

3.072

(2.608, 3.618)

 < 0.001

Management pays attention to complaints

0.922

(0.696, 1.221)

0.571

Recognition from administrators

1.176

(1.075, 1.286)

0.007

Having a good internet system, convenience stores

1.286

(1.021, 1.620)

0.033

Faster enrolment in civil service compared to urban employees

1.339

(1.225, 1.464)

 < 0.001

Comfortable accommodation

1.382

(1.076, 1.775)

0.011

Private accommodation

1.273

(1.163, 1.393)

 < 0.001

Constant

1.006

(0.753, 1.343)

0.968

Constant

1.198

(1.098, 1.308)

 < 0.001