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. 2020 Nov 4;63(5):273–280. doi: 10.1111/idj.12055

Table 5.

Association of dentists’ sociodemographic profile with the clinical decision for the most appropriate treatment choice for the case scenarios (binary logistic regression)

Estimated coefficients 95% Confidence interval P Likelihood ratio χ2 df P
Exp (B) Standard error Lower bound Upper bound
Case 1
No associated factors found
Case 2
Number of child patients seen per week (1 = more than 10, 0 = less than 10) 2.04 0.32 1.09 3.80 0.025 4.98 1 0.026
Percentage of time working on adult patients (1 = less than 50%, 0 = more than 50%) 4.95 0.64 1.43 17.21 0.012
(Constant) 0.01 1.35 0.001
Case 3
Gender (1 = female, 0 = male) 3.44 0.63 1.01 11.77 0.049 5.10 1 0.024
(Constant) 0.01 1.20 0.000
Case 4
Dentists’ group (1 = PDs, 0 = GDPs) 6.93 0.55 2.38 20.21 0.000 5.99 1 0.014
Area in obtaining basic degree (1 = Hong Kong, 0 = elsewhere) 1.94 0.25 1.19 3.17 0.008
Number of child patients seen per week (1 = more than 10, 0 = less than 10) 2.27 0.35 1.15 4.48 0.018
(Constant) 0.01 1.29 0.000
Case 5
Area in obtaining basic degree (1 = Hong Kong, 0 = elsewhere) 0.54 0.26 0.32 0.90 0.018 5.45 1 0.020
Obtained postgraduate qualification (1 = Yes, 0 = No) 1.87 0.27 1.09 3.18 0.022
Number of child patients seen per week (1 = more than 10, 0 = less than 10) 2.60 0.32 1.40 4.82 0.002
(Constant) 0.14 0.70 0.006
Case 6
Dentists’ group (1 = PDs, 0 = GDPs) 4.80 0.56 1.60 14.38 0.005 10.20 1 0.001
(Constant) 0.42 1.10 0.004
Case 7
No associated factors found
Case 8
Percentage of time working on adult patients (1 = less than 50%, 0 = more than 50%) 2.78 0.51 1.02 7.57 0.046 4.68 1 0.031
(Constant) 0.09 1.00 0.014

PDs, paediatric dentists; GDPs, general dental practitioners.