利用电子医疗记录和电子教育记录建立100万巴勒斯坦难民从出生到受教育的队列

Zeina Jamaluddine, Akihiro Seita, Ghada Ballout, Husam Al-Fudoli, Gloria Paolucci, Shatha Albaik, Rami Ibrahim, Miho Sato, Hala Ghattas, Oona Campbell
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We aimed to establish a birth cohort of Palestinian refugees born between 1st January 2010 and 31st December 2020 living in five settings by linking mother obstetric records with child health and education records and to describe some of the cohort characteristics. In future, we plan to assess effects of size-at-birth on growth, health and educational attainment, among other questions. MethodsWe extracted all available data from 140 health centres and 702 schools across five settings, i.e. all UNRWA service users. Creating the cohort involved examining IDs and other data, preparing data, de-duplicating records, and identifying live-births, linking the mothers' and children's data using different deterministic linking algorithms, and understanding reasons for non-linkage. ResultsWe established a birth cohort of Palestinian refugees using electronic records of 972,743 live births. 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引用次数: 0

摘要

通过连接数据集,电子记录可用于建立大型出生队列,使研究人员能够经济有效地回答与整个生命过程中人口相关的问题。目前,约有580万巴勒斯坦难民生活在五个地区:约旦、黎巴嫩、叙利亚、西岸和加沙地带。联合国近东巴勒斯坦难民救济和工程处(近东救济工程处)为他们提供免费的初级保健和小学教育服务。为此,它保留了电子记录。我们的目标是建立2010年1月1日至2020年12月31日期间在五种环境中出生的巴勒斯坦难民的出生队列,将产妇产科记录与儿童健康和教育记录联系起来,并描述队列的一些特征。未来,我们计划评估出生时体型对成长、健康和受教育程度等问题的影响。方法我们从五个环境中的140个保健中心和702所学校提取了所有可用数据,即近东救济工程处的所有服务用户。创建队列涉及检查id和其他数据,准备数据,删除重复记录,识别活产,使用不同的确定性链接算法链接母亲和儿童的数据,以及理解非链接的原因。结果利用92743例活产的电子记录建立了巴勒斯坦难民出生队列。我们发现总体上与健康记录的关联度很高(83%),随着时间的推移而提高(从73%到86%),并且不同地区的关联度存在差异:加沙的平均关联度为93%,黎巴嫩为89%,约旦为75%,西岸为73%,叙利亚为68%。在符合入学年龄条件的423 580名儿童中,47%就读于近东救济工程处的学校,其中既有健康记录又有教育记录的儿童197 479名,只有教育记录的儿童2 447名。除了年份和环境外,与无联系有关的其他因素包括死亡率和母亲不是难民。分类错误最小。这种相互关联的开放式出生队列对难民和阿拉伯地区来说是独特的,并构成了许多未来研究的基础,包括阐明改善这一脆弱、研究不足的人群的健康和教育的途径。我们对队列的描述使我们建议根据研究问题和分析目的使用不同的队列子集。
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Establishment of a birth-to-education cohort of 1 million Palestinian refugees using electronic medical records and electronic education records
IntroductionBy linking datasets, electronic records can be used to build large birth-cohorts, enabling researchers to cost-effectively answer questions relevant to populations over the life-course. Currently, around 5.8 million Palestinian refugees live in five settings: Jordan, Lebanon, Syria, West Bank, and Gaza Strip. The United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) provides them with free primary health and elementary-school services. It maintains electronic records to do so. We aimed to establish a birth cohort of Palestinian refugees born between 1st January 2010 and 31st December 2020 living in five settings by linking mother obstetric records with child health and education records and to describe some of the cohort characteristics. In future, we plan to assess effects of size-at-birth on growth, health and educational attainment, among other questions. MethodsWe extracted all available data from 140 health centres and 702 schools across five settings, i.e. all UNRWA service users. Creating the cohort involved examining IDs and other data, preparing data, de-duplicating records, and identifying live-births, linking the mothers' and children's data using different deterministic linking algorithms, and understanding reasons for non-linkage. ResultsWe established a birth cohort of Palestinian refugees using electronic records of 972,743 live births. We found high levels of linkage to health records overall (83%), which improved over time (from 73% to 86%), and variations in linkage rates by setting: these averaged 93% in Gaza, 89% in Lebanon, 75% in Jordan, 73% in West Bank and 68% in Syria. Of the 423,580 children age-eligible to go to school, 47% went to UNRWA schools and comprised of 197,479 children with both health and education records, and 2,447 children with only education records. In addition to year and setting, other factors associated with non-linkage included mortality and having a non-refugee mother. Misclassification errors were minimal. ConclusionThis linked open birth-cohort is unique for refugees and the Arab region and forms the basis for many future studies, including to elucidate pathways for improved health and education in this vulnerable, understudied population. Our characterization of the cohort leads us to recommend using different sub-sets of the cohort depending on the research question and analytic purposes.
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