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
  Purpose

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
Macrosomia
Low Birth Weight
Premature Birth
Childhood Obesity
Poverty

Study Type: Observational
Study Design: Observational Model: Cohort
Official Title: Wales Electronic Cohort for Children (WECC)

Resource links provided by NLM:


Further study details as provided by Swansea University:

Primary Outcome Measures:
  • Birth weight [ Time Frame: not applicable due to routine data usage ] [ Designated as safety issue: No ]
    Birth weight derived from routine data


Estimated Enrollment: 350000
Study Start Date: April 2009
Estimated Study Completion Date: March 2013
Estimated Primary Completion Date: March 2013 (Final data collection date for primary outcome measure)
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.

  Eligibility

Ages Eligible for Study:   up to 25 Years
Genders Eligible for Study:   Both
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population

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

Criteria

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)
  Contacts and Locations
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the Contacts provided below. For general information, see Learn About Clinical Studies.

Please refer to this study by its ClinicalTrials.gov identifier: NCT01136681

Locations
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
Investigators
Principal Investigator: Ronan A Lyons Swansea University
  More Information

No publications provided

Responsible Party: Dr Sarah E. Rodgers, Professor Ronan Lyons, Swansea University
ClinicalTrials.gov Identifier: NCT01136681     History of Changes
Other Study ID Numbers: TPR08-006
Study First Received: June 2, 2010
Last Updated: January 28, 2013
Health Authority: United Kingdom: Department of Health

Keywords provided by Swansea University:
Anonymised Electronic Cohort
Record Linkage
Routine Data
Environment
Childhood Obesity
Low birth weight
Premature birth

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

ClinicalTrials.gov processed this record on August 28, 2014