Table 4 Logistic regressions for salary and occupational risk allowance

Years in position

1.06 (0.02)***

1.06 (0.02)***

1.19 (0.04)***

1.20 (0.04)***

(p < 0.001)

Kasai Occidental (vs Equateur)

1.48 (0.69)

1.46 (0.64)

0.17 (0.07)***

0.17 (0.07)***

(p < 0.001)

Kasai Orientale (vs Equateur)

1.02 (0.89)

0.71 (0.48)

0.03 (0.02)***

0.05 (0.04)***

(p < 0.001)

Maniema (vs Equateur)

0.20 (0.13)**

0.22 (0.14)***

(p = 0.014)

1.56 (0.76)

1.30 (0.63)

Province Orientale (vs Equateur)

0.69 (0.43)

1.05

(0.52)

11.07 (7.28)***

9.58 (6.33)***

(p = 0.001)

Population served

1.00 (0.00)**

1.00 (0.00)**

(p = 0.043)

1.00 (0.00)

Total personnel

1.43 (0.25)**

0.94 (0.19)

Urban (vs rural)

1.90 (0.86)

2.48 (0.97)**

(p = 0.021)

2.42 (1.33)

2.10 (0.91)*

Number of services

1.08 (0.12)

0.84 (0.09)

Distance of facility from village

1.00 (0.03)

1.07 (0.04)*

Reference heath centre (vs heath centre)

0.74 (0.36)

0.49 (0.24)

0.39 (0.20)*

Age

1.02 (0.02)

1.03 (0.02)

Male (vs female)

0.92 (0.31)

0.66 (0.24)

Number of dependents

0.97 (0.03)

1.11 (0.04)**

1.12 (0.04)***

(p = 0.001)

Married (vs not married)

1.10 (0.14)

0.67 (0.12)**

0.75 (0.12)*

University (vs school education)

0.77 (0.27)

1.07 (0.41)

ASSP programme

0.70 (0.28)

0.58 (0.23)

Received occupational allowance (salary model only)

1.03 (0.35)

–

–

Received salary (occupational risk allowance model only)

–

–

1.06 (0.39)

Constant

0.04 (0.05)**

0.09 (0.04)***

0.37 (0.41)

0.21 (0.08)***

Pseudo R ²

0.17

0.14

0.35

0.33

Model χ ²

50.90***

46.98***

91.22***

77.56***

Number observations (n)

337

383

318

318