Developing, implementing and disseminating a core outcome set for neonatal medicine

James Webbe1, Ginny Brunton2, Shohaib Ali3

  • 1Section of Neonatal Medicine, Imperial College London, London, UK.

BMJ Paediatrics Open
|April 12, 2018
PubMed

Insights

Developing a standardized core outcome set for neonatal medicine is crucial. This will ensure consistent reporting of outcomes important to patients and parents in future research, improving neonatal care.

Area of Science:

  • Neonatal Medicine
  • Clinical Trials
  • Health Outcomes Research

Background:

  • Neonatal units admit 1 in 10 newborns in high-resource settings.
  • Varied outcome reporting in neonatal research hinders study comparison and data synthesis.
  • A standardized approach is needed to improve the utility of neonatal research.

Purpose of the Study:

  • To develop, disseminate, and implement a core outcome set for neonatal medicine.
  • To standardize outcome recording and reporting in neonatal research.
  • To enhance the usefulness of research for clinical practice and patient outcomes.

Main Methods:

  • A steering group with diverse stakeholders (parents, patients, professionals, researchers) will guide development.
  • Systematic reviews of neonatal trials and qualitative studies will identify relevant outcomes.
  • An international eDelphi survey will achieve stakeholder consensus on a core outcome set.
  • The core outcome set will be mapped to existing routinely recorded data.

Main Results:

  • A core outcome set will be established through a multi-perspective consensus process.
  • The set will include outcomes prioritized by parents, former patients, and healthcare professionals.
  • The core outcome set will be mapped to existing electronic data for easier implementation.

Conclusions:

  • Standardized reporting of key outcomes will improve research comparability and utility.
  • Implementation of the core outcome set will enhance patient care and clinical practice.
  • Utilizing routinely recorded data will facilitate efficient implementation with minimal burden.
Abstract

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