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Table 5 Logistic regressions for determinants of non-governmental sources of income

From: A cross-sectional study of the income sources of primary care health workers in the Democratic Republic of Congo

 

User fees

Informal payments

Private payment

Non-clinical activities

Performance payments

Per diems

Explanatory variables

Odds ratio (SE)

          
 

Full

Reduced

Full

Reduced

Full

Reduced

Full

Reduced

Full

Reduced

Full

Reduced

Years in position

1.02 (0.02)

 

1.03 (0.03)

 

1.02 (0.05)

 

0.97 (0.02)

 

1.02 (0.04)

 

0.99 (0.02)

 

Kasai Occidental (vs Equateur)

0.52 (0.23)

0.87 (0.32)

3.13 (2.13)*

2.34 (1.17)*

8.72 (10.09)*

8.42 (8.88)**

0.69 (0.25)

0.65 (0.23)

2.62 (3.02)

2.69 (3.13)

1.29 (0.48)

1.24 (0.41)

Kasai Orientale (vs Equateur)

3.22 (3.86)

3.81 (2.94)*

5.84 (4.64)**

3.77 (2.37)**

1

1

0.99 (0.91)

0.46 (0.37)

1

1

3.67 (3.50)

2.02 (1.35)

Maniema (vs Equateur)

2.65 (1.58)

3.76 (1.73)***

23.82 (18.79)***

12.49 (7.39)***

21.87 (25.97)***

14.53 (16.24)**

3.59 (1.68)***

4.02 (1.81)***

158.86 (191.31)***

132.02 (147.97)***

0.50 (0.26)

0.56 (0.25)

Province Orientale (vs Equateur)

1.54 (0.89)

1.08 (0.47)

9.18 (5.93)***

5.76 (3.00)***

1

1

3.99 (2.27)**

4.42 (2.17)***

1

1

0.41 (0.20)*

0.37 (0.15)**

Population served

1.00 (0.00)

 

1.00 (0.00)

 

1.00 (0.00)

 

1.00 (0.00)

 

1.00 (0.00)**

1.00 (0.00)**

1.00 (0.00)

 

Total personnel

1.12 (0.20)

 

0.69 (0.11)**

0.67 (0.10)**

0.83 (0.16)

 

0.79 (0.11)*

0.83 (0.12)

0.98 (0.21)

 

0.68 (0.11)**

0.72 (0.10)**

Urban (vs rural)

0.63 (0.32)

 

0.95 (0.48)

 

2.81 (1.85)

2.44 (0.99)**

0.51 (0.18)*

0.51 (0.15)**

1.17 (0.82)

 

1.37 (0.55)

 

Number of services

0.98 (0.14)

 

0.96 (0.14)

 

0.90 (0.10)

 

1.35 (0.12)***

1.24 (0.11)**

1.71 (0.26)***

1.51 (0.22)***

1.24 (0.11)**

1.24 (0.09)**

Distance of facility from village

0.98 (0.03)

 

0.97 (0.05)

 

0.78 (0.07)**

0.88 (0.06)**

0.99 (0.03)

 

0.78 (0.05)***

0.79 (0.06)***

0.99 (0.03)

 

Reference heath centre (vs heath centre)

0.49 (0.25)

0.64 (0.26)

0.54 (0.38)

 

2.53 (1.27)*

 

0.89 (0.36)

 

0.45 (0.28)

 

0.41 (0.16)**

0.50 (0.16)**

Age

0.97 (0.02)*

0.97 (0.01)*

0.94 (0.03)**

0.96 (0.02)**

0.89 (0.04)***

0.92 (0.02)***

1.03 (0.02)

 

0.96 (0.03)

 

1.01 (0.02)

 

Male (vs female)

0.82 (0.27)

 

0.80 (0.32)

 

1.32 (0.68)

 

1.03 (0.32)

 

3.37 (1.62)**

2.36 (1.01)**

1.57 (0.47)

1.74 (0.44)**

Number of dependents

1.08 (0.05)*

1.07 (0.04)**

0.99 (0.05)

 

1.01 (0.08)

 

1.06 (0.03)*

1.08 (0.03)***

1.09 (0.04)**

 

1.05 (0.03)

1.04 (0.03)

Married (vs not married)

0.92 (0.11)

 

0.95 (0.17)

 

0.88 (0.20)

 

1.08 (0.13)

 

1.34 (0.24)

 

0.84 (0.10)

 

University (vs school education)

0.83 (0.33)

 

0.84 (0.38)

 

1.32 (0.79)

 

0.93 (0.27)

 

1.02 (0.43)

 

1.28 (0.36)

 

ASSP programme

1.55 (0.64)

 

0.41 (0.17)**

0.48 (0.17)**

2.47 (1.13)**

 

1.51 (0.44)

 

1.74 (1.05)

 

1.98 (0.64)**

1.80 (0.49)**

Receives any government paya

0.20 (0.08)***

 

0.95 (0.39)

 

4.11 (2.37)**

2.76 (1.33)**

0.55 (0.17)*

0.51 (0.15)**

b

 

1.68 (0.47)*

1.92 (0.50)**

Receives user fees

–

–

0.89 (0.41)

 

–

–

1.32 (0.41)

 

–

–

–

–

Receives informal payments

–

–

–

–

–

–

1.32 (0.48)

 

–

–

–

–

Receives payment from private practice

–

–

–

–

–

–

3.00 (1.56)**

2.64 (1.21)**

–

–

–

–

Receives performance payments

–

–

–

–

–

–

0.67 (0.21)

 

–

–

–

–

Constant

14.87 (20.39)**

4.24 (2.58)**

2.54 (3.75)

0.77 (0.65)

0.27 (0.48)

0.12 (0.13)*

0.03 (0.03)***

0.18 (0.13)**

0.00 (0.00)***

0.00 (0.00)***

0.15 (0.14)**

0.19 (0.13)**

Pseudo R 2

0.15

0.07

0.15

0.10

0.24

0.18

0.16

0.15

0.46***

0.44***

0.13

0.11

Model χ 2

44.56***

21.42***

35.55**

29.59***

42.99***

29.19***

53.16***

44.09***

77.28

47.64

47.41***

52.87***

Number observations (n)

333

391

332

405

286

329

326

367

266

266

333

372

  1. *p ≤ 0.1; **p ≤ 0.05; ***p ≤ 0.01
  2. aGovernment pay = salary and/or occupational risk allowance
  3. bThe small number of observations meant receipt of government payments could not be included in the model for performance payments