## 3 Results
This analysis suggests that age, language spoken at home, type of health card, course of care, and belonging to a priority group play a significant role in compliance with CoC. However, to better explore the probability of incomplete required dental treatment at Monash Health Dental Services in the last 12 months, a logistic regression analysis was performed using 12 predictors, including 5 predisposing variables (age, sex, distance to CHC, country of birth, and type of health card), 5 enabling and needs variables (priority access, refugee status, language spoken at home, aboriginality, and need for interpreter) and 2 clinical variables (type of course of care, clinic). The final model included seven statistically significant variables significantly associated with the probability of not completing dental treatment [\(\chi^{2}\)(9) = 716.69; \(p<0.001\)]. After controlling for all the variables present in the model, those who spoke English at home were more likely to be in the group with incomplete dental treatment (OR = 1.18; 95% CI: 1.02-1.35), compared to clients who spoke languages other than English at home. By type of CoC, those in the 'Dentures' group were less likely to have incomplete treatments compared to the other CoC groups (OR = 0.28; 95% CI: 0.24-0.33) (Table 2). Refugees were more likely to be in the incomplete group (OR = 2.08; 95% CI: 1.73-2.50) compared to non-refugees. Aboriginality increased the odds of being in the non-completion group (OR = 2.37; 95% CI: 1.64-3.41). When compared to clients 18 to 34 years of age, those in the 55-to-75-year-old or in the 75 and older age groups were less likely to be in the incomplete group (OR = 0.66; 95% CI: 0.55-0.78; and OR = 0.73; 95% CI: 0.61-0.90, respectively). However, those in the 35-to-54-year-old group showed no difference from the 18-35-year age group in terms of being in the non-compliance group. By dental clinic, those who attended the Thomas St clinic were less likely to be in the non-completion group (OR = 0.73; 95% CI: 0.65-0.82). Additionally, mental health clients were more likely to be in the non-completion group (OR = 1.43; 95% CI: 1.13-1.80). The variance for the ability to predict a non-completion case, using the full model, was 16.0% (Nagelkerke \(r^{2}\) = 0.160) (Table 2). In the final multivariate model, there were no differences associated with the non-completion of required treatment by sex, card type, need for interpreter, proximity to the CHCs, country of birth, or belonging to any other priority group. \begin{table}
\begin{tabular}{l c c c} \hline  & \(\beta\)**Coefficient** & **Odds Ratio** & **95\% Confidence Interval** \\ \hline Age group & & & \\
18 to 34 & & Reference & \\
35 to 54 & \(-\)0.81 & 0.92 & 0.78–1.09 \\
55 to 74 & \(-\)0.42 & 0.66 & 0.55–0.78 \\
75 and older & \(-\)0.31 & 0.73 & 0.61–0.90 \\ \hline Language spoken at home & & & \\ English (1 = Yes) & 0.16 & 1.17 & 1.02–1.35 \\ \hline Refugee status (1 = Yes) & 0.73 & 2.08 & 1.73–2.50 \\ \hline Aboriginality (1 = Yes) & 0.86 & 2.37 & 1.64–3.41 \\ \hline Mental health client (1 = Yes) & 0.36 & 1.43 & 1.13–1.80 \\ \hline Clinic (1 = Thomas St) & \(-\)0.32 & 0.73 & 0.65–0.82 \\ \hline Type of course of care (1 = Dentures) & \(-\)1.27 & 0.28 & 0.24–0.33 \\ \hline Constant & 0.025 & & \\ \hline \end{tabular} The variance in dental visits accounted for using the full model was 16.0% (\(\eta^{2}\) = 0.160).  
\end{table} 
Table 2: Regression coefficient, odds ratios, and 95% confidence interval for odds ratios for the factors predicting non-compliance with course of care in oral healthcare (n = 5648).