Pediatric clinician perspectives on clinical decision support tools for chronic kidney disease risk after preterm birth
摘要
Preterm birth affects approximately 10% of U.S. births, and children born preterm face twice the lifetime risk of chronic kidney disease (CKD). Despite this, kidney health surveillance after preterm birth is uncommon. Although clinical decision support (CDS) tools are widely used in pediatric practice, none address CKD risk stratification after preterm birth. This study assessed pediatric clinician perspectives on facilitators and barriers to CDS tool use, in general and for pediatric CKD risk stratification.
MethodsWe conducted a qualitative descriptive study using semistructured interviews with neonatologists, general pediatricians, and pediatric nephrologists in the United States (December 2023–April 2024). Interviews were conducted by video or teleconference, digitally recorded, and professionally transcribed. Thematic analysis followed COREQ guidelines, and sampling continued until thematic saturation was confirmed.
ResultsTwenty-five pediatric clinicians participated (44% neonatologists, 44% general pediatricians, and 12% nephrologists; median age 39 years, 76% female, 52% White, 88% non-Hispanic, and 80% academic practice). Clinicians reported strong preferences for CDS tools that efficiently support workflows, integrate with the electronic health record (EHR), and provide actionable recommendations with caregiver education. Key concerns included unintended consequences such as false reassurance, over-referral to nephrology, and care burden for families with limited subspecialty access. All participants endorsed the need for a pediatric CKD risk stratification tool.
ConclusionsPediatric clinicians prefer EHR-integrated, evidence-based, family-centered CDS tools to guide CKD risk identification after preterm birth. These findings represent an important step toward developing a pediatric kidney disease risk stratification CDS tool.
Graphical abstractA higher resolution version of the Graphical abstract is available as