Construction of a sensitive indicator system for the quality of neonatal jaundice care

Yong-Xiang Xie1, Ya-Xin Jin2, Hui Li3

  • 1Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan City, Hubei Province, 430015, China.

BMC Pediatrics
|June 14, 2026
PubMed

Insights

A new indicator system was developed to evaluate neonatal jaundice care quality. This standardized framework aims to improve care and prevent neurological damage in newborns.

Area of Science:

  • Neonatal care quality assessment
  • Nursing quality evaluation systems
  • Pediatric health services research

Background:

  • Neonatal jaundice is common and requires proper management to prevent neurological sequelae.
  • Global disparities in neonatal jaundice care quality necessitate standardized evaluation tools.
  • A disease-specific nursing quality evaluation system is crucial for improving neonatal outcomes.

Purpose of the Study:

  • To develop a scientifically rigorous and reliable indicator system for assessing neonatal jaundice care quality.
  • To apply Donabedian's structure-process-outcome model in constructing the evaluation system.
  • To establish a consensus-based framework for quality assessment in neonatal jaundice nursing.

Main Methods:

  • Methodological study design utilizing systematic literature review and semi-structured interviews.
  • Two rounds of Delphi consultations with 18 experts to achieve consensus on indicators.
  • Development of a multi-level indicator system based on expert input and literature evidence.

Main Results:

  • High expert response rates (90.0% and 100.0%) and strong authority coefficients (0.851 and 0.879).
  • A finalized indicator system with 3 first-level, 10 second-level, and 24 third-level indicators.
  • The system demonstrates scientific validity and reliability through expert consensus.

Conclusions:

  • A validated and reliable indicator system for neonatal jaundice care quality has been successfully constructed.
  • The system provides a standardized, consensus-based approach to quality assessment.
  • Further empirical testing is recommended prior to widespread implementation of the indicator system.
Abstract