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Updated: Jan 13, 2026

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Using administrative data to predict the outcomes of prematurity (EB-POC): a protocol for a linkage study from an

Mohamed Abdel-Latif1,2,3, Priyal Nanda4, Gonzalo Ovalles5

  • 1Department of Neonatology, Centenary Hospital for Women and Children, Canberra Hospital, Garran, Canberra, ACT, Australia abdel-latif.mohamed@act.gov.au.

BMJ Open
|January 7, 2026
PubMed

Insights

This study developed an evidence-based preterm outcome calculator (EB-POC) using linked Australian data to predict mortality, hospital complications, and neurodisability for premature infants. The EB-POC will provide personalized risk assessments for parents and clinicians.

Area of Science:

  • Perinatal Medicine
  • Biostatistics
  • Public Health

Background:

  • Healthcare providers require accurate data to counsel parents of extremely premature infants regarding mortality and morbidity risks.
  • Parents seek personalized information on their infant's survival chances, hospital complications, and neurodevelopmental outcomes.
  • Existing data lacks personalization for infant-specific antenatal and perinatal risk factors.

Purpose of the Study:

  • To design, model, construct, and validate an evidence-based preterm outcome calculator (EB-POC).
  • To predict key outcomes for premature infants, including mortality, hospital morbidities, and neurodisability.
  • To provide personalized, evidence-based decision support for perinatal care.

Main Methods:

  • A cohort study linking data from eight administrative databases in the Australian Capital Territory and New South Wales.
  • Inclusion of all births between January 1, 2007, and December 31, 2022.
  • Data analysis utilizing Minitab and R software for outcome prediction.

Main Results:

  • The study is developing an EB-POC to predict mortality, hospital morbidities, and neurodisability in premature infants.
  • Validation of the EB-POC using linked population data.
  • Expected release of results in December 2025.

Conclusions:

  • The EB-POC aims to enhance personalized, evidence-based decision-making for parents and clinicians.
  • Accessible via a website and mobile app, the tool will support prospective parents of premature babies.
  • The calculator will provide crucial outcome data for informed counseling and care planning.
Abstract

Keywords:
NEONATOLOGYNeonatal intensive & critical carePERINATOLOGY

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