Caitlin Gray, Helen Leonard, Matthew N Cooper, Dheeraj Rai, Emma J Glasson
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Data linkage is a technique that can facilitate such research.</p><p><strong>Objective: </strong>To explore the application of population data linkage as a research method to capture health outcomes of siblings of children with neurodevelopmental conditions.</p><p><strong>Inclusion criteria: </strong>Peer reviewed papers that captured health outcomes for siblings of children and young adults with neurodevelopmental conditions using population data linkage.</p><p><strong>Methods: </strong>JBI Scoping review methods were followed. Papers were searched within CINAHL, Ovid, Scopus, and Web of Science from 2000 to 2024 using search terms relating to 'data linkage' 'neurodevelopmental conditions' 'siblings' and 'health outcomes'.</p><p><strong>Results: </strong>The final data extraction included 31 papers. The neurodevelopmental conditions of index children were autism, attention deficit hyperactivity disorder, intellectual disability, cerebral palsy and developmental delay. The mean follow-up time was 31 years, and the majority of studies originated from Scandinavia. Sibling health outcomes observed were psychiatric diagnoses, self-harm and suicide, other neurodevelopmental conditions, and medical conditions such as atopic disease, cancer and obesity.</p><p><strong>Conclusion: </strong>Data linkage can help capture sibling health outcomes quickly across large cohorts with a range of neurodevelopmental conditions. Future research could be enhanced by focusing on siblings as the primary group of interest, increased integration of genealogical data, and comparisons between diagnostic groups and severity levels. Adoption of established rigorous reporting methods will increase the replicability of this type of research, and provide a stronger evidence-base from which to inform sibling supports.</p>","PeriodicalId":36483,"journal":{"name":"International Journal of Population Data Science","volume":"10 1","pages":"2413"},"PeriodicalIF":1.6000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11923734/pdf/","citationCount":"0","resultStr":"{\"title\":\"The application of population data linkage to capture sibling health outcomes among children and young adults with neurodevelopmental conditions. 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Data linkage is a technique that can facilitate such research.</p><p><strong>Objective: </strong>To explore the application of population data linkage as a research method to capture health outcomes of siblings of children with neurodevelopmental conditions.</p><p><strong>Inclusion criteria: </strong>Peer reviewed papers that captured health outcomes for siblings of children and young adults with neurodevelopmental conditions using population data linkage.</p><p><strong>Methods: </strong>JBI Scoping review methods were followed. Papers were searched within CINAHL, Ovid, Scopus, and Web of Science from 2000 to 2024 using search terms relating to 'data linkage' 'neurodevelopmental conditions' 'siblings' and 'health outcomes'.</p><p><strong>Results: </strong>The final data extraction included 31 papers. The neurodevelopmental conditions of index children were autism, attention deficit hyperactivity disorder, intellectual disability, cerebral palsy and developmental delay. The mean follow-up time was 31 years, and the majority of studies originated from Scandinavia. Sibling health outcomes observed were psychiatric diagnoses, self-harm and suicide, other neurodevelopmental conditions, and medical conditions such as atopic disease, cancer and obesity.</p><p><strong>Conclusion: </strong>Data linkage can help capture sibling health outcomes quickly across large cohorts with a range of neurodevelopmental conditions. Future research could be enhanced by focusing on siblings as the primary group of interest, increased integration of genealogical data, and comparisons between diagnostic groups and severity levels. 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引用次数: 0
摘要
儿童的兄弟姐妹与神经发育条件有独特的经验和挑战相关的兄弟姐妹的角色。根据自我报告的调查或家长报告,一些人出现了心理健康问题。由于难以获得兄弟姐妹的大规模健康数据,人口一级的数据很少。数据链接是一种可以促进这种研究的技术。目的:探讨将人口数据联动作为一种研究方法,捕捉神经发育障碍儿童兄弟姐妹的健康状况。纳入标准:同行评议的论文,利用人口数据链接捕获患有神经发育疾病的儿童和年轻人的兄弟姐妹的健康结果。方法:采用JBI范围审查方法。在2000年至2024年期间,在CINAHL、Ovid、Scopus和Web of Science中检索了与“数据链接”、“神经发育状况”、“兄弟姐妹”和“健康结果”相关的搜索词。结果:最终数据提取包括31篇论文。指数儿童的神经发育状况为自闭症、注意缺陷多动障碍、智力障碍、脑瘫和发育迟缓。平均随访时间为31年,大多数研究来自斯堪的纳维亚半岛。观察到的兄弟姐妹健康结果包括精神诊断、自残和自杀、其他神经发育状况,以及特应性疾病、癌症和肥胖等医疗状况。结论:数据链接可以帮助在具有一系列神经发育条件的大型队列中快速捕获兄弟姐妹的健康结果。未来的研究可以通过关注兄弟姐妹作为主要关注群体,增加家谱数据的整合以及诊断组和严重程度之间的比较来加强。采用既定的严格报告方法将增加这类研究的可复制性,并提供更有力的证据基础,以告知兄弟姐妹的支持。
The application of population data linkage to capture sibling health outcomes among children and young adults with neurodevelopmental conditions. A scoping review.
Introduction: Siblings of children with neurodevelopmental conditions have unique experiences and challenges related to their sibling role. Some develop mental health concerns as measured by self-reported surveys or parent report. Few data are available at the population level, owing to difficulties capturing wide-scale health data for siblings. Data linkage is a technique that can facilitate such research.
Objective: To explore the application of population data linkage as a research method to capture health outcomes of siblings of children with neurodevelopmental conditions.
Inclusion criteria: Peer reviewed papers that captured health outcomes for siblings of children and young adults with neurodevelopmental conditions using population data linkage.
Methods: JBI Scoping review methods were followed. Papers were searched within CINAHL, Ovid, Scopus, and Web of Science from 2000 to 2024 using search terms relating to 'data linkage' 'neurodevelopmental conditions' 'siblings' and 'health outcomes'.
Results: The final data extraction included 31 papers. The neurodevelopmental conditions of index children were autism, attention deficit hyperactivity disorder, intellectual disability, cerebral palsy and developmental delay. The mean follow-up time was 31 years, and the majority of studies originated from Scandinavia. Sibling health outcomes observed were psychiatric diagnoses, self-harm and suicide, other neurodevelopmental conditions, and medical conditions such as atopic disease, cancer and obesity.
Conclusion: Data linkage can help capture sibling health outcomes quickly across large cohorts with a range of neurodevelopmental conditions. Future research could be enhanced by focusing on siblings as the primary group of interest, increased integration of genealogical data, and comparisons between diagnostic groups and severity levels. Adoption of established rigorous reporting methods will increase the replicability of this type of research, and provide a stronger evidence-base from which to inform sibling supports.