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Caerphilly Health and Social Needs Electronic Cohort Study (E-CATALyST)
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Sample details

The eCatalyst study is a longitudinal study in Wales that incorporates two questionnaires and utilizes data linkage to Office for National Statistics (ONS) Public Health Mortality files, Patient Episode Database for Wales (PEDW), and Welsh Demographic Service (WDS). A baseline survey was conducted in the former Gwent Health Authority area, targeting residents aged 18 years and older, resulting in over 12,400 responses after multiple household visits. The electronic cohort, established in the SAIL databank, focused on mental health outcomes and comprised 17,979 residents under 75 years who are continued to be followed up through surveys and record linkage.

Study design
Cohort

Number of participants at first data collection

17,979 (individuals)

Age at first data collection

18 - 74 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The total borough population, but with an over-representation of residents from the more deprived quintiles and an under-representation from the least deprived quintile

Sample features

Linked cohort
Dataset details
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Countries

United Kingdom of Great Britain and Northern Ireland, Wales

Year of first data collection

2001

Primary Institutions

Cardiff University

Links
No website available

Profile paper DOI

doi.org/10.1093/ije/dys175

Funders

Medical Research Council (MRC)

National Institute for Social Care

Wales Office of Research and Development

Welsh Government

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Secondary data
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
  • Other government data
Features

Engagement

  • None
  • Keywords

    Ageing
    Health and wellbeing
    Health inequalities
    Hospital admissions
    Housing
    Lifestyle
    Mental health
    Morbidity and mortality
    Socioeconomics
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