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Table 3 The results of survival analysis, negative binomial regression, and regression for dental care visits and expenditures including both patient and regional characteristics

From: The differences in healthcare utilization for dental caries based on the implementation of water fluoridation in South Korea

Variables

Dental care visitsa

Only patient with dental care visit

Number of dental care visitsb

Dental care costs (KRW)c

HR

95 % CI

P-value

β

SE

P-value

β

SE

P-value

Regional variables

Water fluoridation

 Yes

0.949

0.928

0.971

<.0001

−0.029

0.014

0.0431

0.008

0.021

0.7097

 No

1.000

Ref

Ref

Period from implementation of water fluoridation

0.998

0.995

1.001

0.2302

−0.003

0.001

0.0177

−0.006

0.002

0.0024

Number of dentists per 1,000 residents

1.007

0.975

1.041

0.6700

−0.045

0.016

0.0068

−0.026

0.024

0.2812

Financial independence rate of local government

0.999

0.999

0.999

<.0001

−0.003

0.000

<.0001

−0.003

0.000

<.0001

Individual variables

Sex

 Male

0.795

0.788

0.801

<.0001

−0.051

0.004

<.0001

−0.071

0.005

<.0001

 Female

1.000

Ref

Ref

Age (Years)

 -19

4.835

4.695

4.979

<.0001

0.408

0.010

<.0001

0.662

0.013

<.0001

 20–29

3.069

2.977

3.163

<.0001

0.064

0.011

<.0001

0.020

0.014

0.1451

 30–39

2.466

2.392

2.542

<.0001

−0.073

0.011

<.0001

−0.134

0.014

<.0001

 40–49

2.502

2.427

2.579

<.0001

−0.069

0.011

<.0001

−0.101

0.013

<.0001

 50–59

2.531

2.452

2.613

<.0001

−0.022

0.011

0.0487

−0.030

0.014

0.0316

 60–69

2.044

1.978

2.112

<.0001

0.033

0.012

0.0045

0.055

0.016

0.0004

  < 70

1.000

Ref

Ref

Income (percentile)

 -10 % (low)

0.751

0.736

0.767

<.0001

0.003

0.009

0.7721

−0.085

0.013

<.0001

 11–20 %

0.751

0.736

0.767

<.0001

−0.004

0.009

0.6797

−0.094

0.013

<.0001

 21–30 %

0.762

0.747

0.777

<.0001

−0.004

0.009

0.6740

−0.099

0.013

<.0001

 31–40 %

0.770

0.756

0.784

<.0001

−0.026

0.008

0.0018

−0.121

0.012

<.0001

 41–50 %

0.805

0.790

0.819

<.0001

0.006

0.008

0.4173

−0.069

0.012

<.0001

 51–60 %

0.835

0.821

0.850

<.0001

0.011

0.008

0.1536

−0.045

0.012

0.0001

 61–70 %

0.880

0.866

0.895

<.0001

0.028

0.007

0.0002

−0.007

0.011

0.5510

 71–80 %

0.916

0.901

0.931

<.0001

0.030

0.007

<.0001

0.025

0.011

0.0267

 81–90 %

0.943

0.928

0.959

<.0001

0.023

0.007

0.0007

0.025

0.011

0.0190

  + 91 % (high)

1.000

Ref

Ref

Types of insurance coverage

 Medical Aid

0.410

0.396

0.425

<.0001

−0.573

0.018

<.0001

−0.956

0.017

<.0001

 NHI, self-employed insured

0.872

0.865

0.879

<.0001

−0.033

0.004

<.0001

−0.097

0.006

<.0001

 NHI, employee insured

1.000

Ref

Ref

Year of baseline/Index year

 2003

1.000

Ref

Ref

 2004

1.052

1.026

1.079

<.0001

−0.015

0.003

<.0001

−0.126

0.013

<.0001

 2005

1.126

1.092

1.162

<.0001

−0.018

0.003

<.0001

−0.102

0.013

<.0001

 2006

1.124

1.089

1.160

<.0001

−0.017

0.003

<.0001

−0.108

0.013

<.0001

 2007

1.143

1.104

1.183

<.0001

0.128

0.004

<.0001

−0.037

0.013

0.0037

 2008

1.104

1.065

1.144

<.0001

0.209

0.004

<.0001

0.016

0.013

0.2238

 2009

1.038

0.997

1.080

0.0710

0.192

0.004

<.0001

0.000

0.013

0.9752

 2010

0.974

0.931

1.018

0.2418

0.176

0.004

<.0001

−0.073

0.013

<.0001

 2011

0.736

0.695

0.779

<.0001

0.163

0.004

<.0001

0.079

0.013

<.0001

 2012

0.483

0.445

0.523

<.0001

0.157

0.004

<.0001

0.045

0.013

0.0007

 2013

0.304

0.265

0.350

<.0001

0.149

0.004

<.0001

0.091

0.014

<.0001

Pre-dental care costs (per 1,000 KRW)

    

0.001

0.000

<.0001

0.004

0.000

<.0001

Number of pre-dental care

    

0.183

0.004

<.0001

0.309

0.009

<.0001

Dentofacial anomalies

 Yes

21.614

17.417

26.821

<.0001

1.925

0.022

<.0001

8.832

0.037

<.0001

 No

1.000

Ref

Ref

Disorders of toothe development and eruption

 Yes

16.465

15.392

17.614

<.0001

1.563

0.008

<.0001

8.348

0.012

<.0001

 No

1.000

Ref

Ref

  1. aThe survival analysis using cox proportional hazard models was applied to investigate the association with risk of dental care visits during study period
  2. bThe negative binomial regression using GEE models was performed for patients who had experienced a dental care visit at least once per year to investigate the associations with dental care visits
  3. cThe regression using GEE models was performed for patients who had experienced a dental care visit at least once per year to investigate the associations with dental care cost