Non surgical predicting factors for patient satisfaction after third molar surgery.

BACKGROUND

In the third molar surgery, it is important to focus not only on surgical skills, but also on patient satisfaction. Classically studies have been focused on surgery and surgeon's empathy, but there are non-surgical factors that may influence patient satisfaction.

MATERIAL AND METHODS

A cross-sectional study was performed on 100 patients undergoing surgical extractions of impacted mandibular third molars treated from October 2013 to July 2014 in the Oral Surgery Unit of the University of Valencia. A questionnaire (20 questions) with a 10-point Likert scale was provided. The questionnaire assessed the ease to find the center, the ease to get oriented within the center, the burocratic procedures, the time from the first visit to the date of surgical intervention, waiting time in the waiting room, the comfort at the waiting room, the administrative staff (kindness and efficiency to solve formalities), medical staff (kindness, efficiency, reliability, dedication), personal data care, clarity in the information received (about the surgery, postoperative care and resolution of the doubts), available means and state of facilities. Outcome variables were overall satisfaction and recommendation of the center. Statistical analysis was made using the multiple linear regression analysis.

RESULTS

Significant correlations were found between all variables and overall satisfaction. The multiple regression model showed that the efficiency of the surgeon and the clarity of the information were statistically significant to overall satisfaction and recommendation of the center. The kindness of the administrative staff, available means, the state of facilities and the comfort at the waiting room were statistically significant to the recommendation of the center.

CONCLUSIONS

Patient satisfaction directly depends on the efficiency of the surgeon and clarity of the clinical information received about the procedure. Appreciation of these predictive factors may help clinicians to provide optimal care for impacted third molar surgery patients.