Improving Developmental Screening, Discussion, and Referral in Pediatric Practice

Melissa A Bright1, Jennifer Zubler2, Christina Boothby3

  • 11 University of Florida, Gainesville, FL, USA.

Clinical Pediatrics
|April 4, 2019
PubMed

Insights

Pediatricians improved developmental screening and referral rates for autism through a quality improvement project. However, self-reported data on screening discussions and referrals did not align with record reviews, highlighting a gap in accurate assessment.

Area of Science:

  • Pediatric Health
  • Developmental Pediatrics
  • Quality Improvement in Healthcare

Background:

  • Pediatricians' adoption of standardized screening tools for developmental delays is increasing but remains suboptimal.
  • Current screening rates fall short of recommended guidelines, necessitating quality improvement initiatives.

Purpose of the Study:

  • To enhance developmental monitoring, screening, and referral processes for developmental concerns among pediatricians.
  • To implement and evaluate a quality improvement project aimed at improving early identification of developmental delays.

Main Methods:

  • A 3-month quality improvement project involving 28 pediatricians.
  • Utilized in-person meetings, monthly webinars, and expert work group feedback.
  • Focused on improving developmental monitoring, screening, and referral practices.

Main Results:

  • Significant increases observed in autism screening rates, parent discussions of results, and referrals for abnormal findings.
  • No significant change noted in general developmental screening rates.
  • Pediatricians' self-reported practices for discussion and referral exceeded actual performance based on record review.

Conclusions:

  • Practice-based quality improvement initiatives can effectively enhance specific aspects of developmental screening and referral.
  • Universal developmental screening for all children remains an ongoing challenge.
  • Discrepancies between self-reported and actual practice highlight the need for robust monitoring systems.

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