Pediatric clinician perspectives on clinical decision support tools for chronic kidney disease risk after preterm

Keia Sanderson1,2, Christine E Kistler3, Marissa Velarde4

  • 1Division of Nephrology and Hypertension, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA. keia_sanderson@med.unc.edu.

Insights

Pediatric clinicians desire clinical decision support (CDS) tools for identifying chronic kidney disease (CKD) risk in preterm infants. They prefer integrated, evidence-based tools to improve kidney health surveillance after preterm birth.

Area of Science:

  • Pediatric Nephrology
  • Clinical Informatics
  • Public Health

Background:

  • Preterm birth significantly elevates the risk of chronic kidney disease (CKD) in children.
  • Current kidney health surveillance for preterm infants is insufficient.
  • Existing clinical decision support (CDS) tools do not address pediatric CKD risk stratification.

Purpose of the Study:

  • To explore pediatric clinician perspectives on facilitators and barriers to using CDS tools.
  • To assess clinician views on developing a CDS tool for pediatric CKD risk stratification post-preterm birth.

Main Methods:

  • Qualitative descriptive study using semistructured interviews.
  • Participants included neonatologists, general pediatricians, and pediatric nephrologists in the U.S.
  • Thematic analysis guided by COREQ guidelines was employed.

Main Results:

  • Clinicians favored CDS tools that integrate with EHRs, streamline workflows, and offer actionable guidance.
  • Concerns included false reassurance, potential over-referral, and family care burden.
  • All participants agreed on the necessity of a pediatric CKD risk stratification tool.

Conclusions:

  • Pediatric clinicians advocate for EHR-integrated, evidence-based, and family-centered CDS tools for CKD risk identification in preterm infants.
  • This study provides foundational insights for developing a pediatric kidney disease risk stratification CDS tool.
Abstract

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