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Table 4 Effects of cost-sharing in indemnity health insurance on health care utilization according to public health financing

From: The effect of cost-sharing in private health insurance on the utilization of health care services between private insurance purchasers and non-purchasers: a study of the Korean health panel survey (2008–2012)

 

Medical aid (for the poor, n = 599)

National helath insurance (n = 7225)

Variablea

Outpatient visits per person

Inpatient admissions per person

Length of stay per person

Outpatient visits per person

Inpatient admissions per person

Length of stay per person

ß

S.E

p-value

ß

S.E

p-value

ß

S.E

p-value

ß

S.E

p-value

ß

S.E

p-value

ß

S.E

p-value

Time

                  

 2008

Ref.

  

Ref.

  

Ref.

  

Ref.

  

Ref.

  

Ref.

  

 2009

0.071

0.044

0.105

−0.016

0.135

0.905

−0.025

0.273

0.927

0.047

0.017

0.006

−0.083

0.075

0.269

0.157

1.280

0.201

 2010

0.086

0.050

0.084

0.040

0.134

0.762

0.027

0.197

0.889

0.121

0.021

<.0001

0.010

0.075

0.894

0.020

0.190

0.851

 2011

0.092

0.050

0.069

0.057

0.140

0.682

−0.092

0.228

0.688

0.146

0.022

<.0001

0.043

0.080

0.588

−0.017

−0.160

0.873

Group (indemnity health insurance)

                  

 Non-purchasers

Ref.

  

Ref.

  

Ref.

  

Ref.

  

Ref.

  

Ref.

  

 Purchasers

0.928

0.207

<.0001

1.557

0.518

0.003

1.898

0.649

0.003

0.312

0.043

<.0001

0.250

0.161

0.119

0.128

0.680

0.498

Time x Group (difference-in-difference estimator)

                 

 2009

−0.345

0.180

0.055

−0.690

0.643

0.283

−1.613

0.718

0.025

0.038

0.053

0.469

0.180

0.178

0.312

0.147

0.590

0.556

 2010

−0.491

0.219

0.025

−1.695

0.738

0.022

−2.978

0.910

0.001

−0.098

0.051

0.053

0.153

0.172

0.373

0.393

1.520

0.129

 2011

−0.580

0.218

0.008

−0.966

0.542

0.074

−1.435

0.682

0.035

−0.115

0.051

0.025

−0.181

0.179

0.313

−0.104

−0.450

0.653

  1. aAdjusted for sex, age, marital status, education level, the number of chronic disease, household income, region, and employment status