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Parents need individualized estimates of mortality risk and the risk of hospital morbidities and neurodevelopmental outcomes if the infant survives, incorporating infant-specific antenatal and perinatal risk factors. The EB-POC cohort links routinely collected administrative records to design, model, construct, and validate a calculator predicting premature-birth outcomes, including mortality, complications, and neurodisability.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/using-administrative-data-to-predict-the-outcomes-of-prematurity-eb-poc-a-protocol-for-a-linkage-study/449728/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/using-administrative-data-to-predict-the-outcomes-of-prematurity-eb-poc-a-protocol-for-a-linkage-study/449728.png","ImageObject",300,407,{"name":92,"@type":93},"dhado","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the EB-POC study designed to predict for extremely premature infants?","Question",{"text":112,"@type":113},"It is designed to predict outcomes of premature birth, including mortality, hospital morbidities, and neurodisability, using linked population data.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which data sources and regions will be used for the linkage study?",{"text":117,"@type":113},"Information from eight routinely collected administrative databases will be linked for births registered in the Australian Capital Territory (ACT) and New South Wales, Australia, from 1 January 2007 to 31 December 2022.",{"name":119,"@type":110,"acceptedAnswer":120},"What is a key strength and a key limitation of the EB-POC approach?",{"text":121,"@type":113},"A key strength is mitigation of common observational study biases through linked administrative data, while a key limitation is the probabilistic linkage risk of false-positive and false-negative matches.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},449728,1791093730,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},5909893218464,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Open access Protocol  \n Using administrative data to predict the  \noutcomes of prematurity (EB-POC): a protocol for a linkage study from an Australian Neonatal Network  \nMohamed Abdel-Latif  ,1,2,3 Priyal Nanda,1 Gonzalo Ovalles,4 Amanda Dyson1,2  \nTo cite: Abdel-Latif M, Nanda P, Ovalles G, et al. Using administrative data to predict the outcomes of prematurity (EB-POC): a protocol for a linkage study from an Australian Neonatal Network. BMJ Open 2026;16:e112020 . doi:10 . 1136/ bmjopen-2025-112020  \n► Prepublication history and additional supplemental material for this paper are available online. To view these files, please visit the journal online ([https://doi.org/10.1136/](https://doi.org/10.1136/)[ ](https://doi.org/10.1136/)[bmjopen-2025-112020](bmjopen-2025-112020)) .  \nReceived 07 October 2025 Accepted 10 December 2025  \n© Author(s) (or their employer(s)) 2026. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.  \n1Department of Neonatology, Centenary Hospital for Women and Children, Canberra Hospital, Garran, Canberra, ACT, Australia 2Discipline of Neonatology, School of Medicine and Psychology, College of Science and Medicine, Australian National University, Acton, Canberra, ACT, Australia 3Department of Public Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Melbourne, VIC, Australia  \n4Minitab Pty Ltd, Sydney, NSW, Australia  \nCorrespondence to  \nDr Mohamed Abdel-Latif; abdel-latif. mohamed@act. [gov.au](gov.au)  \nABSTRACT  \nIntroduction Perinatal healthcare providers need access to accurate and current outcome data to counsel parents facing the birth of extremely premature infants. Parents want to know their infant’s risk of mortality, as well asthe risk of hospital morbidities and neurodevelopmental outcomes, if their infant survives. Such data must be personalised to the precise infant-specific circumstances, including antenatal and perinatal risk factors unique to that infant.  \nThe evidence-based preterm outcome calculator (EB-POC) cohort study uses linked population data to design, model, construct and validate an EB-POC to predict outcomes of premature birth (mortality, hospital complications and neurodisability) .  \nMethods and analysis Information from eight routinely collected administrative databases will be linked for all births registered in the Australian Capital Territory (ACT) and New South Wales, Australia, between 1 January 2007 and 31 December 2022 (or the latest available atthe time of linkage) . Key outcome measures will include an EB-POC to predict mortality, hospital morbidities and neurodisability. Data analysis will be conducted using Minitab and R software.  \nEthics and dissemination Approval was obtained from the ACT Human Research Ethics Committee (2022 . LRE.00164 and 2024. LRE.00188), ACT Aboriginal and Torres Strait Islander Consumer Reference Group and the eight data custodians. The results are expected to be released in December 2025. The results will be presented at medical conferences and published in peer-reviewed academic journals. The calculator will be available free of charge through a user-friendly website and a mobile app, enabling prospective parents of premature babies and clinicians to make evidence-based, personalised, precision-based decisions.  \nBACKGROUND  \nPerinatal healthcare providers need access to accurate and current outcome data to counsel parents facing the birth of extremely premature infants. Parents want to know their infant’s risk of mortality, as well asthe risk of hospital morbidities and neurodevelopmental outcomes, if their infant survives. Such data must be personalised to  \nSTRENGTHS AND LIMITATIONS OF THIS STUDY   \n⇒ The evidence-based preterm outcome calculator (EB-POC) study, which uses a large-scale birth cohort, will provide a quantitative, personalised prediction based on considerable datasets.  \n⇒ In addition to predicting mortality and neurosensory disa","cbCaidNJbWiVtivh","https://ap.wps.com/l/cbCaidNJbWiVtivh","pdf",620856,"English","# Abstract\n## Introduction\n## Methods and analysis\n## Ethics and dissemination\n# Background\n## Strengths and limitations of this study","[{\"question\":\"What is the EB-POC study designed to predict for extremely premature infants?\",\"answer\":\"It is designed to predict outcomes of premature birth, including mortality, hospital morbidities, and neurodisability, using linked population data.\"},{\"question\":\"Which data sources and regions will be used for the linkage study?\",\"answer\":\"Information from eight routinely collected administrative databases will be linked for births registered in the Australian Capital Territory (ACT) and New South Wales, Australia, from 1 January 2007 to 31 December 2022.\"},{\"question\":\"What is a key strength and a key limitation of the EB-POC approach?\",\"answer\":\"A key strength is mitigation of common observational study biases through linked administrative data, while a key limitation is the probabilistic linkage risk of false-positive and false-negative matches.\"}]","Using administrative data to predict the outcomes of prematurity (EB-POC): a protocol for a linkage study | PDF",1790730975,15]