Factors influencing the use of public dental services: An application of the Theory of Planned Behaviour

Table 5 Binary logistic regression analysis to predict actual dental attendance among adult public dental patients (n = 470)

Model^†	Beta	OR	95% CI for OR	P-value
Age	0.016	1.016	(1.002,1.030)	0.022
Sex*	0.121	1.128	(0.744,1.711)	0.570
Behavioural intention^‡	0.169	1.184	(1.027,1.364)	0.020
Direct self-efficacy^‡	0.206	1.229	(1.021,1.479)	0.029
Direct perceived control^‡	-0.020	0.980	(0.847,1.133)	0.783
Past dental attendance behaviour^#				0.000
-Emergency attender	1.011	2.749	(1.659,4.555)	0.000
-General attender	-0.486	0.615	(0.254,1.489)	0.281
-Emergency and General attender	0.801	2.228	(1.256,3.952)	0.006
Constant	-4.050	0.017		0.000
Step	NagelkerkeR ²	ΔR ²
1^¥	0.043	--
2^§	0.067	0.024
3^{^}	0.085	0.018
4^~	0.155	0.070

^†Dependent variable = Actual dental attendance post-questionnaire (Yes, visited (coded as 1) vs. No, did not visit (coded as 0))
^‡mean score
^#Reference: Did not visit within the 31/2 year period
*Reference: Male
^¥Age, sex
^§ Age, sex, Behavioural intention
^{^} Age, sex, Behavioural intention, Direct self-efficacy, Direct perceived control
^~Age, sex, Behavioural intention, Direct self-efficacy, Direct perceived control, Past dental attendance behaviour

ISSN: 1472-6963