Computational protocol: Patients’ satisfaction and prevalence of complications on surgical extraction of third molar

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Protocol publication

[…] In this study, the primary outcomes were the prevalence of complications and patients’ satisfaction. Sample size determination was based on these two primary outcomes by senior dentists and recently graduated dentists with the use of G*Power software (version 3.1.6; Franz Faul, Universität Kiel, Kiel, Germany). By assuming the proportions as 10% and 2.5% in prevalence of complications and allocation ratio as 1:1, a total of at least 256 patients were needed to have an 80% chance (power) (β =0.20) at a 0.05 significance level in a one-tailed test. Besides, assuming the standard deviation of the satisfaction scores as 0.5 and allocation ratio as 1:1, a total of at least 200 patients were needed to have an 80% chance (power) (β =0.20) to detect the mean difference of satisfaction scores as 0.2 between senior dentists and recently graduated dentists at a 0.05 significance level in a two-tailed test. Considering the possible nonresponse rate as 35%, at least 394 patients would be recruited. [...] The data were analyzed using the computer software SPSS Statistics – V20.0 (IBM Corporation, Armonk, NY, USA). Student’s t-test was used to study the differences in patients’ age, depth of the impacted third molar, and patient satisfaction between the two dentist groups. Chi-square test was used to determine the difference in distribution of sex, lower tooth location, history of pericoronitis, Winter’s classification of impaction, superposition of inferior dental canal, root anatomy, surgical assessment, impression of treatment time, and postsurgical complication between the two dentist groups. Also, to investigate the effects of different factors on patient satisfaction, separated one-way analysis of variance or bivariate linear regression models were performed initially. Because of apparent statistical interaction, an additional two-way analysis of variance of the Winter’s classification of impaction and surgical assessment on patient satisfaction were also applied. Then multiway analysis of covariance or analysis of variance with those significant indicators altogether was performed keeping the main effects of the interaction effect significant. To interpret the effects, pairwise comparisons would be performed with Bonferroni adjustment. All the statistical tests, except the test on postoperative complications by dentist group, were two-tailed, and the significance level was set at 0.05. […]

Pipeline specifications

Software tools G*Power, SPSS
Application Miscellaneous
Organisms Homo sapiens
Diseases Dry Socket, Pericoronitis