A single-center model for implementation of SLEDAI documentation adherence in childhood-onset systemic lupus

Meghan Corrigan Nelson1,2, Colleen Mosley2, Tonya Bennett2

  • 1Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.

Lupus
|October 9, 2023
PubMed

Insights

Improving Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) documentation in pediatric patients is crucial. Clinical decision support reminders significantly increased physician adherence, overcoming barriers like forgetfulness and time constraints.

Area of Science:

  • Pediatric Rheumatology
  • Autoimmune Diseases
  • Clinical Informatics

Background:

  • Childhood-onset systemic lupus erythematosus (cSLE) is a serious autoimmune condition.
  • Routine monitoring using indices like SLEDAI is recommended but often poorly adhered to.
  • Physician adherence to SLEDAI documentation is a challenge in academic centers.

Purpose of the Study:

  • To determine baseline SLEDAI documentation rates in pediatric SLE patients.
  • To assess the impact of electronic clinical decision support (CDS) reminders on SLEDAI documentation adherence.
  • To identify barriers to SLEDAI documentation.

Main Methods:

  • Review of 1980 SLE encounters over 24 months at a pediatric academic center.
  • Implementation of monthly email reminders and EMR-based CDS alerts (prompted by anti-dsDNA results).
  • Continuous chart review and monthly feedback to providers; post-intervention provider survey.

Main Results:

  • Baseline SLEDAI documentation was 10%.
  • Monthly emails increased rates to 55%.
  • Electronic in-basket reminders further increased rates to 60%; forgetfulness and lack of time were key barriers.

Conclusions:

  • Monthly email reminders and EMR-integrated CDS alerts effectively improve SLEDAI documentation rates.
  • Addressing physician-reported barriers like forgetfulness and time is essential for sustained adherence.
  • Enhanced documentation supports better monitoring and management of pediatric SLE.
Abstract

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