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Identifying Gaps in Caries Prevention and Management: A Multi-Institutional Mixed-Methods Study.

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Summary
This summary is machine-generated.

Quality gaps in dental caries prevention and management persist across institutions. A mixed-methods study revealed issues in sealant use, documentation, and patient counseling, highlighting the need for coordinated strategies for better preventive care.

Keywords:
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Area of Science:

  • Dental Public Health
  • Clinical Quality Improvement
  • Health Services Research

Background:

  • Evidence-based guidelines for dental caries prevention and management exist but are inconsistently applied.
  • Significant variations in care delivery necessitate an understanding of quality gaps in clinical settings.

Purpose of the Study:

  • To identify and analyze quality gaps in the prevention and management of dental caries.
  • To understand the contributing factors to these quality gaps across four major dental institutions.

Main Methods:

  • A mixed-methods approach integrating structured chart reviews (n=2,000), semi-structured interviews (n=102), and ethnographic observations (n=64).
  • Data triangulation using thematic coding and root cause analysis to categorize quality gaps.
  • Utilized validated dental quality measures and the AEIOU observational framework.

Main Results:

  • Identified quantitative gaps including low dental sealant placement rates and inconsistent caries risk documentation.
  • Qualitative gaps involved limited documentation of preventive therapies and patient counseling, with providers citing time constraints and EHR issues.
  • System-level challenges included workflow inefficiencies, fragmented responsibilities, and poor integration of preventive care protocols.

Conclusions:

  • Substantial quality gaps in caries prevention and management persist due to complex system, provider, and patient factors.
  • Findings underscore the need for coordinated, data-informed strategies to enhance the consistency and effectiveness of dental preventive care.
  • Integrating diverse data sources and user-centered methods is crucial for informing quality improvement initiatives in dental settings.