Does staff-assessed care quality predict early failure of dental fillings? A prospective study

The aim of this study was to evaluate staff-assessed care quality as an indicator of register-based measures of care quality at dental clinics, more specifically register-based measures of survival of dental fillings and initiation of preventive treatments for caries patients.

This prospective study includes data from cross-sectional workplace psychosocial risk assessment surveys at dental clinics and register data on survival of dental fillings, and initiation of preventive treatment for caries patients obtained from the Swedish Quality Registry for Caries and Periodontal Disease (SKaPa) Demographic background data on the age, gender, income level and place of birth of patients was obtained from Statistics Sweden (SCB). The data were analysed using discrete-time multilevel survival analysis and multiple linear regression analysis.

The results showed that staff-assessed care quality rated by the total staff or by dental nurses at the clinic predicted the risk of replacement of dental fillings made due to a caries diagnosis during the 3-year follow-up period, controlling for potential confounding due to patient demographic characteristics (age, sex, income and country of birth). In contrast, the better the staff-assessed care quality at the clinic, the smaller the proportion of the patients received preventive care in addition to operative caries therapy when controlling for potential confounding due to patient demographics. Care quality assessed by dentists at the clinic did not predict either of these outcome measures.

Premature failure of dental fillings is costly for both patients and society, which leads to a need for relevant measures for following dental care quality. Our findings indicate that staff-assessed care quality - a cheap and easy measure to collect and follow continuously in dental practice - can be used to monitor aspects of quality in real time in order to facilitate continuous improvement and quickly amend quality problems. Also, it can be used for integrating quality improvement in systematic work environment risk management.