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Table 5 Marginal effects from logistic regression models: factors associated with choosing a private sector provider vs. a public sector provider stratified by type of care

From: Health services utilization and out-of-pocket (OOP) expenditures in public and private facilities in Pakistan: an empirical analysis of the 2013–14 OOP health expenditure survey

Pr(Private)

Outpatient

Inpatient

 

Marginal effect

SE

p-value

Marginal effect

SE

p-value

Gender

 Male

Ref.

  

Ref.

  

 Female

−0.025

0.01

0.02

0.034

0.04

0.41

Age

 0 to 5

Ref.

  

Ref.

  

 6 to 20

−0.003

0.02

0.88

−0.042

0.07

0.52

 21 to 40

−0.005

0.02

0.78

−0.018

0.06

0.78

 41 to 60

−0.016

0.02

0.37

−0.096

0.07

0.14

 > 60

− 0.011

0.02

0.62

−0.024

0.07

0.73

Household wealth quintile

 Poorest

Ref.

  

Ref.

  

 Poorer

0.001

0.02

0.97

−0.010

0.07

0.87

 Middle

0.002

0.02

0.93

0.058

0.06

0.34

 Richer

0.058

0.02

0.001

0.004

0.06

0.95

 Richest

0.075

0.02

< 0.001

0.082

0.06

0.19

Region

 Rural

0.001

0.01

0.92

0.112

0.04

0.001

Province

 Punjab

Ref.

  

Ref.

  

 Sindh

0.062

0.01

< 0.001

0.053

0.04

0.14

 KP

−0.133

0.02

< 0.001

−0.185

0.04

< 0.001

 Balochistan

− 0.187

0.03

< 0.001

−0.065

0.06

0.30

Household size

 1–4

Ref.

  

Ref.

  

 5–8

−0.050

0.01

< 0.001

0.028

0.04

0.53

 9–12

−0.051

0.02

0.001

−0.033

0.05

0.54

 13+

−0.060

0.03

0.03

−0.026

0.07

0.72

Type of illness

 Communicable

Ref.

  

Ref.

  

 Accident/Injury

−0.107

0.05

0.04

0.005

0.08

0.95

 Chronic

−0.014

0.02

0.40

−0.095

0.06

0.13

 Childbirth

N/A

  

0.056

0.06

0.38

 Other female reproductive health concerns

−0.053

0.03

0.08

0.159

0.08

0.05

 Other illness

0.033

0.01

0.02

−0.008

0.06

0.89

N

6770

1199

Pseudo R-squared

0.06

0.06