Recommendations for data collection in cohort studies of preterm born individuals - The RECAP Preterm Core Dataset.

IF 2.7 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Paediatric and perinatal epidemiology Pub Date : 2024-09-01 Epub Date: 2024-06-17 DOI:10.1111/ppe.13096
Charlotte Powell, Deborah Bamber, Helen E Collins, Elizabeth S Draper, Bradley Manktelow, Eero Kajante, Marina Cuttini, Dieter Wolke, Rolf F Maier, Jennifer Zeitlin, Samantha Johnson
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引用次数: 0

Abstract

Background: Preterm birth (before 37 completed weeks of gestation) is associated with an increased risk of adverse health and developmental outcomes relative to birth at term. Existing guidelines for data collection in cohort studies of individuals born preterm are either limited in scope, have not been developed using formal consensus methodology, or did not involve a range of stakeholders in their development. Recommendations meeting these criteria would facilitate data pooling and harmonisation across studies.

Objectives: To develop a Core Dataset for use in longitudinal cohort studies of individuals born preterm.

Methods: This work was carried out as part of the RECAP Preterm project. A systematic review of variables included in existing core outcome sets was combined with a scoping exercise conducted with experts on preterm birth. The results were used to generate a draft core dataset. A modified Delphi process was implemented using two stages with three rounds each. Three stakeholder groups participated: RECAP Preterm project partners; external experts in the field; people with lived experience of preterm birth. The Delphi used a 9-point Likert scale. Higher values indicated greater importance for inclusion. Participants also suggested additional variables they considered important for inclusion which were voted on in later rounds.

Results: An initial list of 140 data items was generated. Ninety-six participants across 22 countries participated in the Delphi, of which 29% were individuals with lived experience of preterm birth. Consensus was reached on 160 data items covering Antenatal and Birth Information, Neonatal Care, Mortality, Administrative Information, Organisational Level Information, Socio-economic and Demographic information, Physical Health, Education and Learning, Neurodevelopmental Outcomes, Social, Lifestyle and Leisure, Healthcare Utilisation and Quality of Life.

Conclusions: This core dataset includes 160 data items covering antenatal care through outcomes in adulthood. Its use will guide data collection in new studies and facilitate pooling and harmonisation of existing data internationally.

早产儿队列研究数据收集建议 - RECAP 早产儿核心数据集。
背景:与足月分娩相比,早产(妊娠满 37 周前)会增加不良健康和发育后果的风险。现有的早产儿队列研究数据收集指南要么范围有限,要么没有采用正式的共识方法,要么没有让一系列利益相关者参与制定。符合这些标准的建议将有助于数据的汇集和各项研究的协调:开发用于早产儿纵向队列研究的核心数据集:这项工作是 RECAP 早产儿项目的一部分。方法:这项工作是作为 RECAP 早产儿项目的一部分进行的。我们对现有核心结果集所包含的变量进行了系统性回顾,并与早产儿专家一起进行了范围界定工作。审查结果被用于生成核心数据集草案。改良的德尔菲过程分两个阶段进行,每个阶段进行三轮。三个利益相关群体参与了该过程:RECAP 早产项目合作伙伴;该领域的外部专家;有早产生活经验的人。德尔菲法采用 9 点李克特量表。分值越高,表明纳入的重要性越大。参与者还提出了他们认为应纳入的其他重要变量,这些变量将在后几轮投票中决定:结果:得出了一份包含 140 个数据项的初步清单。来自 22 个国家的 96 名参与者参与了德尔菲法,其中 29% 是早产儿的亲身经历者。双方就 160 个数据项达成共识,这些数据项涵盖产前和出生信息、新生儿护理、死亡率、管理信息、组织层面信息、社会经济和人口信息、身体健康、教育和学习、神经发育结果、社会、生活方式和休闲、医疗保健利用率和生活质量:该核心数据集包括 160 个数据项,涵盖从产前护理到成年后的结果。它的使用将为新研究的数据收集提供指导,并促进国际间现有数据的汇集和协调。
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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
84
审稿时长
1 months
期刊介绍: Paediatric and Perinatal Epidemiology crosses the boundaries between the epidemiologist and the paediatrician, obstetrician or specialist in child health, ensuring that important paediatric and perinatal studies reach those clinicians for whom the results are especially relevant. In addition to original research articles, the Journal also includes commentaries, book reviews and annotations.
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