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Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study

Understanding hospital service use among children with a diagnosis of craniosynostosis (CS) is important to improve services and outcomes. This study aimed to describe population-level trends, patterns, and factors influencing hospitalizations for craniosynostosis in Western Australia. Data on live...

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Autores principales: Junaid, Mohammed, Slack-Smith, Linda, Wong, Kingsley, Hewitt, Timothy, Bourke, Jenny, Baynam, Gareth, Calache, Hanny, Leonard, Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175457/
https://www.ncbi.nlm.nih.gov/pubmed/36899143
http://dx.doi.org/10.1007/s00431-023-04922-4
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author Junaid, Mohammed
Slack-Smith, Linda
Wong, Kingsley
Hewitt, Timothy
Bourke, Jenny
Baynam, Gareth
Calache, Hanny
Leonard, Helen
author_facet Junaid, Mohammed
Slack-Smith, Linda
Wong, Kingsley
Hewitt, Timothy
Bourke, Jenny
Baynam, Gareth
Calache, Hanny
Leonard, Helen
author_sort Junaid, Mohammed
collection PubMed
description Understanding hospital service use among children with a diagnosis of craniosynostosis (CS) is important to improve services and outcomes. This study aimed to describe population-level trends, patterns, and factors influencing hospitalizations for craniosynostosis in Western Australia. Data on live births (1990–2010; n = 554,624) including craniosynostosis, episodes of death, demographic, and perinatal factors were identified from the midwives, birth defects, hospitalizations, and death datasets. Information on craniosynostosis and non-craniosynostosis-related admissions, cumulative length of hospital stay (cLoS), intensive care unit, and emergency department–related admissions were extracted from the hospitalization dataset and linked to other data sources. These associations were examined using negative binomial regression presented as annual percent change and associations of hospitalizations by age groups, demographic, and perinatal factors were expressed as incidence rate ratio (IRR). We found an increasing trend in incident hospitalizations but a marginal decline in cLoS for craniosynostosis over the observed study period. Perinatal conditions, feeding difficulties, nervous system anomalies, respiratory, and other infections contributed to majority of infant non-CS-related admissions.Respiratory infections accounted for about twice the number of admissions for individuals with CS (IRRs 1.94–2.34) across all observed age groups. Higher incidence of non-CS hospitalizations was observed among females, with associated anomalies, to families with highest socioeconomic disadvantage and living in remote areas of the state.   Conclusion: Marginal reduction in the cLoS for CS-related admissions observed over the 21-year period are potentially indicative of improved peri-operative care. However, higher incidence of respiratory infection-related admissions for syndromic synostosis is concerning and requires investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00431-023-04922-4.
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spelling pubmed-101754572023-05-13 Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study Junaid, Mohammed Slack-Smith, Linda Wong, Kingsley Hewitt, Timothy Bourke, Jenny Baynam, Gareth Calache, Hanny Leonard, Helen Eur J Pediatr Research Understanding hospital service use among children with a diagnosis of craniosynostosis (CS) is important to improve services and outcomes. This study aimed to describe population-level trends, patterns, and factors influencing hospitalizations for craniosynostosis in Western Australia. Data on live births (1990–2010; n = 554,624) including craniosynostosis, episodes of death, demographic, and perinatal factors were identified from the midwives, birth defects, hospitalizations, and death datasets. Information on craniosynostosis and non-craniosynostosis-related admissions, cumulative length of hospital stay (cLoS), intensive care unit, and emergency department–related admissions were extracted from the hospitalization dataset and linked to other data sources. These associations were examined using negative binomial regression presented as annual percent change and associations of hospitalizations by age groups, demographic, and perinatal factors were expressed as incidence rate ratio (IRR). We found an increasing trend in incident hospitalizations but a marginal decline in cLoS for craniosynostosis over the observed study period. Perinatal conditions, feeding difficulties, nervous system anomalies, respiratory, and other infections contributed to majority of infant non-CS-related admissions.Respiratory infections accounted for about twice the number of admissions for individuals with CS (IRRs 1.94–2.34) across all observed age groups. Higher incidence of non-CS hospitalizations was observed among females, with associated anomalies, to families with highest socioeconomic disadvantage and living in remote areas of the state.   Conclusion: Marginal reduction in the cLoS for CS-related admissions observed over the 21-year period are potentially indicative of improved peri-operative care. However, higher incidence of respiratory infection-related admissions for syndromic synostosis is concerning and requires investigation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00431-023-04922-4. Springer Berlin Heidelberg 2023-03-11 2023 /pmc/articles/PMC10175457/ /pubmed/36899143 http://dx.doi.org/10.1007/s00431-023-04922-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Junaid, Mohammed
Slack-Smith, Linda
Wong, Kingsley
Hewitt, Timothy
Bourke, Jenny
Baynam, Gareth
Calache, Hanny
Leonard, Helen
Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study
title Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study
title_full Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study
title_fullStr Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study
title_full_unstemmed Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study
title_short Patterns, trends, and factors influencing hospitalizations for craniosynostosis in Western Australia. A population-based study
title_sort patterns, trends, and factors influencing hospitalizations for craniosynostosis in western australia. a population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175457/
https://www.ncbi.nlm.nih.gov/pubmed/36899143
http://dx.doi.org/10.1007/s00431-023-04922-4
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