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. 2021 Dec 15;21:645. doi: 10.1186/s12903-021-02001-4

Table 6.

Multiple logistic regression models(Enter) to predict patients’ (model 1) overall satisfaction with treatment, i.e. that the periodontal treatment was worth the cost, in terms of time, money and efforts (Definitely) and (model 2) patient reported satisfaction with oral health outcome of therapy compared to the way it was before (Very much better/Much better)

Variables OR 95% CI p value
Model 1: ‘treatment was worth the cost and efforts’
 Test group (ref: control group) 1.01 0.65–1.55 0.975
 Current smoker (ref: non-smoker) 0.90 0.54–1.50 0.672
 I have definitely been as involved as I wish in treatment (ref: else) 4.80 3.10–7.43  < 0.001
 GOHAI, mean score at baseline 1.02 0.97–1.07 0.514
 VAS, pain/discomfort during treatment 1.00 0.99–1.01 0.600
Model 2: ‘satisfaction with oral health outcome of therapy’
 Test group (ref: control group) 1.09 0.67–1.78 0.772
 Current smoker (ref: non-smoker) 0.45 0.26–0.78 0.004
 I have definitely been as involved as I wish in treatment (ref: else) 4.93 2.95–8.24  < 0.001
 GOHAI, mean score at baseline 0.98 0.93–1.03 0.620
 VAS, pain/discomfort during treatment 1.00 0.99–1.01 0.389

Model 1: n = 427. Hosmer and Lemeshow goodness of fit x2 = 4.94, degrees of freedom (d.f.) = 8, p = 0.76

Model 2: n = 428. Hosmer and Lemeshow goodness of fit x2 = 13.74, degrees of freedom (d.f.) = 8, p = 0.089

Adjusted for background variables regarding, age, gender and education. Significance level of the models =  < 0.05