Wales Electronic Cohort for Children (WECC)

This study is ongoing, but not recruiting participants.
Sponsor:
Collaborator:
Cardiff University
Information provided by (Responsible Party):
Dr Sarah E. Rodgers, Swansea University
ClinicalTrials.gov Identifier:
NCT01136681
First received: June 2, 2010
Last updated: January 28, 2013
Last verified: January 2013

June 2, 2010
January 28, 2013
April 2009
March 2013   (final data collection date for primary outcome measure)
Birth weight [ Time Frame: not applicable due to routine data usage ] [ Designated as safety issue: No ]
Birth weight derived from routine data
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Complete list of historical versions of study NCT01136681 on ClinicalTrials.gov Archive Site
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Wales Electronic Cohort for Children
Wales Electronic Cohort for Children (WECC)

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.

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.

Observational
Observational Model: Cohort
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Non-Probability Sample

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

  • Macrosomia
  • Low Birth Weight
  • Premature Birth
  • Childhood Obesity
  • Poverty
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*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Active, not recruiting
350000
March 2013
March 2013   (final data collection date for primary outcome measure)

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)
Both
up to 25 Years
Yes
Contact information is only displayed when the study is recruiting subjects
United Kingdom
 
NCT01136681
TPR08-006
Yes
Dr Sarah E. Rodgers, Swansea University
Swansea University
Cardiff University
Principal Investigator: Ronan A Lyons Swansea University
Swansea University
January 2013

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP