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An evaluation of classification systems for stillbirth
Vicki Flenady1, J Frederik Frøen, Halit Pinar
1Mater Mothers' Research Centre, Mater Health Services, Brisbane, Australia. Vicki.flenady@mater.org.au
Six stillbirth classification systems were evaluated for clinical practice and prevention. CODAC and Tulip demonstrated superior performance in data retention and reducing unexplained stillbirths, informing international standards.
Area of Science:
- Perinatal Medicine
- Public Health
- Medical Informatics
Background:
- Stillbirth audit and classification are crucial for prevention.
- Existing systems like ICD have limitations, leading to diverse classification approaches.
- An international standard is needed for consistent stillbirth classification.
Purpose of the Study:
- To assess the performance of six contemporary stillbirth classification systems.
- To identify strengths and weaknesses of each system for informing international development.
- To evaluate data retention, ease of use, agreement, and unexplained stillbirth rates.
Main Methods:
- Evaluation of Amended Aberdeen, Extended Wigglesworth, PSANZ-PDC, ReCoDe, Tulip, and CODAC systems.
- Nine international teams applied systems to 857 stillbirth cases.
- Key metrics included InfoKeep (data retention), Ease (usability), inter-observer agreement (kappa), and unexplained stillbirth proportion.
Main Results:
- CODAC scored highest for data retention (InfoKeep) and usability (Ease).
- Tulip showed the best inter-observer agreement (kappa=0.74) and low unexplained stillbirths.
- Amended Aberdeen and Extended Wigglesworth performed poorly in data retention and agreement.
Conclusions:
- Extended Wigglesworth and Amended Aberdeen are not recommended.
- CODAC, PSANZ-PDC, and ReCoDe show strong performance.
- Tulip excels in agreement and reducing unexplained stillbirths, offering valuable insights for an international classification system.
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