先天性异常登记在澳大利亚:一个全国性的挑战。

Merilyn Riley, Lisa Hui
{"title":"先天性异常登记在澳大利亚:一个全国性的挑战。","authors":"Merilyn Riley, Lisa Hui","doi":"10.1177/18333583251343623","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> Robust population health surveillance is required to monitor trends in prevalence in congenital anomalies (CA) and to detect emerging threats to human development. All eight Australian states and territories are mandated to report CA data to national authorities. <b>Objectives:</b> (i) Compare Australian congenital anomaly registers (CARs) across jurisdictions; (ii) measure research utilisation of Australian CAR data. <b>Method:</b> We conducted a documentary analysis of publicly available online information on Australian CARs and performed a scoping review of peer-reviewed research published from 1980 to 2024 that utilised CAR data. <b>Results:</b> Five Australian states/territories possessed an established CAR; three practiced active surveillance, and three included mandatory reporting. Age of child inclusion criteria ranged from birth episode to 6 years. Most states/territories classified CAs according to the <i>International Classification of Diseases 10th Revision Australian Modification</i> (ICD-10-AM). There was inconsistency in scope, data sources, method of ascertainment, data linkage processes, data availability, reporting requirements and data quality. The scoping review identified 83 peer-reviewed publications using CAR data. The majority of publications originated from three states/territories and included key CAR staff as authors. Only one state/territory CAR consistently published research over the 44-year review period. <b>Conclusion:</b> There are major methodological inconsistencies among Australian CARs, undermining the interpretability and quality of nationally reported CA data. More standardisation and resourcing are required to maximise the research and policy value of Australian CARs. <b>Implications for health information management practice:</b> Urgent attention to data management practices, harmonisation across jurisdictions and resourcing are required to safeguard the sustainability and value of Australian CARs.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583251343623"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Congenital anomaly registers in Australia: A national challenge.\",\"authors\":\"Merilyn Riley, Lisa Hui\",\"doi\":\"10.1177/18333583251343623\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> Robust population health surveillance is required to monitor trends in prevalence in congenital anomalies (CA) and to detect emerging threats to human development. All eight Australian states and territories are mandated to report CA data to national authorities. <b>Objectives:</b> (i) Compare Australian congenital anomaly registers (CARs) across jurisdictions; (ii) measure research utilisation of Australian CAR data. <b>Method:</b> We conducted a documentary analysis of publicly available online information on Australian CARs and performed a scoping review of peer-reviewed research published from 1980 to 2024 that utilised CAR data. <b>Results:</b> Five Australian states/territories possessed an established CAR; three practiced active surveillance, and three included mandatory reporting. Age of child inclusion criteria ranged from birth episode to 6 years. Most states/territories classified CAs according to the <i>International Classification of Diseases 10th Revision Australian Modification</i> (ICD-10-AM). There was inconsistency in scope, data sources, method of ascertainment, data linkage processes, data availability, reporting requirements and data quality. The scoping review identified 83 peer-reviewed publications using CAR data. The majority of publications originated from three states/territories and included key CAR staff as authors. Only one state/territory CAR consistently published research over the 44-year review period. <b>Conclusion:</b> There are major methodological inconsistencies among Australian CARs, undermining the interpretability and quality of nationally reported CA data. More standardisation and resourcing are required to maximise the research and policy value of Australian CARs. <b>Implications for health information management practice:</b> Urgent attention to data management practices, harmonisation across jurisdictions and resourcing are required to safeguard the sustainability and value of Australian CARs.</p>\",\"PeriodicalId\":73210,\"journal\":{\"name\":\"Health information management : journal of the Health Information Management Association of Australia\",\"volume\":\" \",\"pages\":\"18333583251343623\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health information management : journal of the Health Information Management Association of Australia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/18333583251343623\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health information management : journal of the Health Information Management Association of Australia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18333583251343623","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:需要强有力的人口健康监测,以监测先天性异常(CA)患病率的趋势,并发现对人类发展的新威胁。澳大利亚所有八个州和地区都被授权向国家当局报告CA数据。目标:(i)比较澳大利亚不同司法管辖区的先天性异常登记册(CARs);(ii)衡量澳大利亚CAR数据的研究利用情况。方法:我们对澳大利亚CAR的公开在线信息进行了文献分析,并对1980年至2024年发表的利用CAR数据的同行评议研究进行了范围审查。结果:澳大利亚的五个州/地区拥有建立的CAR;其中三个实行主动监视,三个实行强制报告。儿童年龄纳入标准范围从出生到6岁。大多数州/地区根据国际疾病分类第十次修订澳大利亚修订版(ICD-10-AM)对CAs进行分类。在范围、数据源、确定方法、数据联系过程、数据可用性、报告要求和数据质量方面存在不一致。范围审查确定了83份使用CAR数据的同行评议出版物。大多数出版物来自三个国家/地区,包括中非共和国的主要工作人员作为作者。在44年的审查期内,中非共和国只有一个州/地区持续发表研究报告。结论:在澳大利亚的car中存在主要的方法上的不一致,破坏了国家报告的CA数据的可解释性和质量。需要更多的标准化和资源,以最大限度地发挥澳大利亚汽车的研究和政策价值。对卫生信息管理实践的影响:需要紧急关注数据管理实践、跨司法管辖区的协调和资源,以保障澳大利亚car的可持续性和价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Congenital anomaly registers in Australia: A national challenge.

Background: Robust population health surveillance is required to monitor trends in prevalence in congenital anomalies (CA) and to detect emerging threats to human development. All eight Australian states and territories are mandated to report CA data to national authorities. Objectives: (i) Compare Australian congenital anomaly registers (CARs) across jurisdictions; (ii) measure research utilisation of Australian CAR data. Method: We conducted a documentary analysis of publicly available online information on Australian CARs and performed a scoping review of peer-reviewed research published from 1980 to 2024 that utilised CAR data. Results: Five Australian states/territories possessed an established CAR; three practiced active surveillance, and three included mandatory reporting. Age of child inclusion criteria ranged from birth episode to 6 years. Most states/territories classified CAs according to the International Classification of Diseases 10th Revision Australian Modification (ICD-10-AM). There was inconsistency in scope, data sources, method of ascertainment, data linkage processes, data availability, reporting requirements and data quality. The scoping review identified 83 peer-reviewed publications using CAR data. The majority of publications originated from three states/territories and included key CAR staff as authors. Only one state/territory CAR consistently published research over the 44-year review period. Conclusion: There are major methodological inconsistencies among Australian CARs, undermining the interpretability and quality of nationally reported CA data. More standardisation and resourcing are required to maximise the research and policy value of Australian CARs. Implications for health information management practice: Urgent attention to data management practices, harmonisation across jurisdictions and resourcing are required to safeguard the sustainability and value of Australian CARs.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信