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

Author:

Powell Charlotte1ORCID,Bamber Deborah1ORCID,Collins Helen E.1ORCID,Draper Elizabeth S.1ORCID,Manktelow Bradley1ORCID,Kajante Eero234ORCID,Cuttini Marina5ORCID,Wolke Dieter6ORCID,Maier Rolf F.7ORCID,Zeitlin Jennifer8ORCID,Johnson Samantha1ORCID

Affiliation:

1. Department of Population Health Sciences, George Davies Centre University of Leicester Leicester UK

2. Population Health Unit Finnish Institute for Health and Welfare Helsinki Finland

3. Clinical Medicine Research Unit, MRC Oulu Oulu University Hospital and University of Oulu Oulu Finland

4. Department of Clinical and Molecular Medicine Norwegian University for Science and Technology Trondheim Norway

5. 0‐3 Center for the at‐Risk Infant Scientific Institute IRCCS “Eugenio Medea” Lecco Italy

6. Department of Psychology University of Warwick Coventry UK

7. Children's Hospital Philipps University of Marburg Marburg Germany

8. Centre for Research in Epidemiology and StatisticS (CRESS) Obstetrical Perinatal and Pediatric Epidemiology Research Team (EPOPé), INSERM Paris France

Abstract

AbstractBackgroundPreterm 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.ObjectivesTo develop a Core Dataset for use in longitudinal cohort studies of individuals born preterm.MethodsThis 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.ResultsAn 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.ConclusionsThis 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.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Strategies for data harmonisation in preterm health research: Bridging the gap;Paediatric and Perinatal Epidemiology;2024-08-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3