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Table 2 Parameter estimates for simple model (SM), patient-based model (PBM), area-based model (ABM), and combined model (CM)

From: The usefulness of small-area-based socioeconomic characteristics in assessing the treatment outcomes of type 2 diabetes patients: a register-based mixed-effect study

 

SM

 

PBM

 

ABM

 

CM

 
   

Fixed parta

     

Variable

Estimate (95% CI)

p-value

Estimate (95% CI)

p-value

Estimate (95% CI)

p-value

Estimate (95% CI)

p-value

Age

4.86 (2.68–7.04)

0.00

2.98 (0.29–5.67)

0.03

4.97 (2.78–7.15)

0.00

3.06 (0.37–5.74)

0.03

Gender (2 = male)

83.00 (31.95–134.06)

0.00

101.24 (49.16–153.32)

0.00

83.18 (31.95–134.40)

0.00

100.84 (48.80–152.88)

0.00

Income (patient)

  

−5.24 (−8.01–(−2.46))

0.00

  

−5.05 (−7.82–(−2.28))

0.00

Education (patient)

  

−40.18 (−71.80–(− 8.56))

0.00

  

−35.24 (−66.93–(−3.56))

0.03

Unemployed (patient)

  

77.54 (−71.57–226.65)

0.08

  

74.54 (−74.53–223.62)

0.33

Income (small-area)

    

0.02 (0.00–0.04)

0.08

0.02 (0.00–0.04)

0.10

Education (small-area)

    

−14.33 (−20.27–(−8.39))

0.00

−12.75 (−18.74–(−6.77))

0.00

Unemployed (small-area)

    

7.25 (−12.39–26.89)

0.47

4.40 (−15.31–24.12)

0.66

   

Random partb

     

Municipality (M)

0.08592

 

0.07742

 

0.09612

 

0.09442

 

Postal code area (Pa)

0.11962

 

0.11152

 

0.04832

 

0.04962

 

Patient (P)

1.22372

 

1.21772

 

1.22052

 

1.21852

 

Areas (M + Pa)

0.14732

 

0.13572

 

0.10762

 

0.10662

 

Total (M + Pa + P)

1.23252

 

1.22522

 

1.22522

 

1.22322

 
  1. aThe fixed part presents estimated regression coefficients of the linear mixed-effect models and their 95% Confidence Intervals (95% CI) and p-values. The estimates and 95% Confidence Intervals have been multiplied by 1000 to help the interpretation process
  2. bThe random part presents unexplained variance at different levels (in the form se2)