Wales Electronic Cohort for Children (WECC)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01136681
Recruitment Status : Completed
First Posted : June 3, 2010
Last Update Posted : December 10, 2014
Cardiff University
Information provided by (Responsible Party):
Dr Sarah E. Rodgers, Swansea University

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.

Condition or disease
Macrosomia Low Birth Weight Premature Birth Childhood Obesity Poverty

Detailed Description:

Lack of access to the enormous amount of information collected on children's health status and treatment has been a major contributor to both gaps in the translational pathway to improving child health at individual and population levels. The creation of the Wales Electronic Child Cohort is designed to remove this block and support both explanatory and interventional studies. This proposal is considered to be the best way to address this issue as it is built upon previous strategic investments by WORD and thus should achieve its goals in a very cost effective manner.

This type of E-Cohort with 35,000 additional children every year can answer questions where exposures, outcomes and potential confounders are routinely collected or available through individual or ecological linkages. This is a retrospective and prospective cohort, however, both cohort and nested case-control studies can be supported. Developments in geographical information systems (GIS), network analysis and the creation of a system for anonymising households means that is possible to anonymously link environmentally derived data to health data. The huge numbers of individuals involved in WECC means that the study has enormous power to answer important social, economic and health policy questions.

Examples of research questions which can be answered are:

  1. What factors determine the future health service need for individuals that are vulnerable at birth, and inform the development of interventions to reduce health inequalities for these groups?
  2. What is the influence of the social and physical environment on childhood obesity?
  3. What is the impact of health conditions in childhood on educational outcomes for children?
  4. Are birth anomalies more common in households in which any member received antibiotics during early pregnancy (marker for infectious cause)?
  5. What is the relationship between maternal depression, family composition and childhood injury risk?
  6. Can perinatal environmental and biological parameters be used to predict common illness such as asthma in later childhood and adults?
  7. To what extent can E-Cohorts replicate findings from traditional cohorts (e.g. Millennium Cohort Study) and replace the need for some non-routine data collection?

In this first instance we will focus on answering the first two questions.

Study Type : Observational
Actual Enrollment : 900000 participants
Observational Model: Cohort
Official Title: Wales Electronic Cohort for Children (WECC)
Study Start Date : April 2009
Actual Primary Completion Date : March 2013
Actual Study Completion Date : March 2013

Resource links provided by the National Library of Medicine

MedlinePlus related topics: Birth Weight
U.S. FDA Resources

Primary Outcome Measures :
  1. Birth weight [ Time Frame: not applicable due to routine data usage ]
    Birth weight derived from routine data

Information from the National Library of Medicine

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Ages Eligible for Study:   up to 25 Years   (Child, Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
730,000 children born from 1990-2009, or subsequently resident, in Wales

Inclusion Criteria:

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

Exclusion Criteria:

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

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT01136681

United Kingdom
Department of Primary Care and Public Health
Cardiff, United Kingdom, CF14 4YS
Health Information Research Unit
Swansea, United Kingdom, SA2 8PP
Sponsors and Collaborators
Swansea University
Cardiff University
Principal Investigator: Ronan A Lyons Swansea University

Responsible Party: Dr Sarah E. Rodgers, Professor Ronan Lyons, Swansea University Identifier: NCT01136681     History of Changes
Other Study ID Numbers: TPR08-006
First Posted: June 3, 2010    Key Record Dates
Last Update Posted: December 10, 2014
Last Verified: December 2014

Keywords provided by Dr Sarah E. Rodgers, Swansea University:
Anonymised Electronic Cohort
Record Linkage
Routine Data
Childhood Obesity
Low birth weight
Premature birth

Additional relevant MeSH terms:
Birth Weight
Pediatric Obesity
Premature Birth
Body Weight
Signs and Symptoms
Nutrition Disorders
Obstetric Labor, Premature
Obstetric Labor Complications
Pregnancy Complications