Wales Electronic Cohort for Children

NCT01136681 | Completed DMC

• 1 other identifier: TPR08-006
• Study Type: observational
• Target: 900,000
• Locations: 1 country
• Sites: 2

Brief Summary

The investigators are developing a research platform capable of improving children's health through the generation of knowledge from analysis of routinely collected data from within and outside the health service. The investigators are using the data that are routinely collected in Wales to answer specific questions about child health and well-being, with the aim of informing policy and practice in Wales, whilst also being internationally relevant. Routinely collected datasets are publicly funded, and have already been incorporated into the Secure Anonymised Information Linkage databank. The investigators are combining these datasets on children from health and social care to establish an anonymised Wales wide Electronic Cohort for Children (WECC). WECC will serve as the platform for future work in translating information into child population health policy. There are 35,000 births in Wales per year, and data are available for the previous ten years. Thus, WECC will be sufficiently powered to answer important social, economic and health policy questions. WECC will also act as a demonstration project which would inform the development of e-cohorts to support translational research across the life course and disease spectrum.

Conditions

Macrosomia; Low Birth Weight; Premature Birth; Childhood Obesity; Poverty

Keywords

Anonymised Electronic Cohort; Record Linkage; Routine Data; Environment; Childhood Obesity; Low birth weight; Premature birth

Outcome Measures

Primary Outcomes (1)

• Birth weight

  Birth weight derived from routine data

  not applicable due to routine data usage

Eligibility Criteria

• Age: Up to 25 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

730,000 children born from 1990-2009, or subsequently resident, in Wales

You may qualify if:

• Present in routine data and recorded as born or resident in Wales (1998-2008)

You may not qualify if:

• Not recorded in routine data as being born of resident in Wales (1998-2008)

Sponsors & Collaborators

• Swansea University: lead
• Cardiff University: collaborator

Study Sites (2)

Health Information Research Unit

Swansea, Swansea, SA2 8PP, United Kingdom

Location

Department of Primary Care and Public Health

Cardiff, CF14 4YS, United Kingdom

Location

MeSH Terms

Conditions

Premature Birth; Pediatric Obesity

Condition Hierarchy (Ancestors)

Obstetric Labor, Premature; Obstetric Labor Complications; Pregnancy Complications; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Obesity; Overweight; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Officials

• Ronan A Lyons

  Swansea University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor Ronan Lyons

Study Record Dates

• First Submitted: June 2, 2010
• First Posted: June 3, 2010
• Study Start: April 1, 2009
• Primary Completion: March 1, 2013
• Study Completion: March 1, 2013
• Last Updated: December 10, 2014

Record last verified: 2014-12

Locations

GB (2)