Clinical Decision Support System may Improve appropriate Placement of Dental Sealants, reveals study

Dental sealants are effective for the prevention of caries in children at elevated risk levels, and increasing the proportion of children and adolescents who have dental sealants on 1 or more molars is a Healthy People 2030 objective. Electronic health record (EHR)-based clinical decision support systems (CDSSs) have the ability to improve patient care. A dental quality measure related to dental sealant placement for children at elevated risk of caries was targeted for improvement using a CDSS. A validated dental quality measure was adapted to assess a patient's need for dental sealant placement. A CDSS was implemented to advise care team members whether a child was at elevated risk of developing caries and had sealant-eligible first or second molars. Data on dental sealant placement at examination visits during a 5-year period were analyzed, including 32 months before CDSS implementation and 28 months after CDSS implementation.

Results: From January 1, 2018, through December 31, 2022, the authors assessed 59,047 examination visits for children at elevated risk of developing caries and with sealant-eligible teeth. With the implementation of a CDSS and training to support the clinical care team members in September 2020, the appropriate placement of dental sealants at examination visits increased from 27% through 60% (P < .00001).Integration of a CDSS into the EHR as part of a quality improvement program was effective in increasing the delivery of sealants in eligible first and second molars of children aged 5 through 15 years and considered at high risk of developing caries. An EHR-based CDSS can be implemented to improve standardization and provide timely and appropriate patient care in dental practices.

Reference:

Mullins J, Brandon R, Skourtes N, Kalenderian E, Walji M. Improvements inappropriate placement of dental sealants after implementation of a clinical decision support system. J Am Dent Assoc. 2024 Apr 6:S0002-8177(24)00110-7. doi: 10.1016/j.adaj.2024.02.009. Epub ahead of print. PMID: 38583172.