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Congenital Anomaly Register and Information Service (CARS)

Population Size

Not reported
Population Size statistic card

Years

1998 - 2017

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

Wales

Geographic coverage statistic card

Lead time

2-6 months

Lead time statistic card

Summary

Information about any foetus or baby who has or is suspected of having a congenital anomaly and whose mother is normally resident in Wales at time of birth.

Documentation

CARIS aims to collect reliable data about congenital anomalies that can then be used to help:

  • build up and monitor the picture of congenital anomalies in Wales
  • assess interventions intended to help prevent or detect congenital anomalies
  • plan and co-ordinate provision of health services for affected babies and children
  • assess possible clusters of birth defects and their causes

CARIS collects information about any fetus or baby who has or is suspected of having a congenital anomaly and whose mother is normally resident in Wales at time of birth. It includes babies in whom anomalies are diagnosed at any time from conception to the end of the first year of life. Data collection commenced on 1st January 1998 and includes any baby where pregnancy ended after this date.

CARIS uses a multi-source data collection method using a wide range of sources within the NHS. This ranges from antenatal ultrasound, clinical letters, post-mortems and laboratory results. CARIS also accesses a number of databases including SHIRE (Medical Genetics database), PEDW, NCCHD, Paediatric Cardiology database. Medical records are accessed to confirm, validate and add further details to the information already collected.

Due to the nature of this dataset linkage based on the babies is challenging. This is because many pregnancies (approximately 20% of the total) end in fetal loss or termination. However, linkage based on the mother can be performed.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Events

Approx 70-80% coverage of Welsh population through GP registrations.

3000000

Count

31 Aug 2021

Provenance

Source of data extraction

EPR

Collection source setting

Primary care - Clinic, Secondary care - In-patients

Patient pathway description

All pathways pertaining to congenital anomalies

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Annual

Version

11.0.0

Modified

08/10/2024

Distribution release date

12/11/2019

Citation Requirements

["Public Health Wales NHS Trust"]

Coverage

Start date

01/01/1998

End date

19/12/2017

Time lag

1-2 months

Geographic coverage

United Kingdom, Wales

Maximum age range

4

Follow-up

Unknown

Accessibility

Language

en

Controlled vocabulary

LOCAL

Format

SQL database table

Data Access Request

Dataset pipeline status

Not available

Time to dataset access

2-6 months

Access request cost

Data provision is free from SAIL. Overall project costing depends on the number of people that require access to the SAIL Gateway, the activities that SAIL needs to complete (e.g. loading non-standard datasets), data refreshes, analytical work required, disclosure control process, and special case technological requirements.

Access method category

TRE/SDE

Access service description

The SAIL Databank is powered by the UK Secure e-Research Platform (UKSeRP). Following approval through safeguard processes, access to project-specific data within the secure environment is permitted using two-factor authentication.

Jurisdiction

GB

Data use limitation

General research use,Research-specific restrictions

Data use requirements

Project-specific restrictions

Data Controller

Public Health Wales NHS Trust

Data Processor

SAIL Databank

Dataset Types: Health and disease


Collection Sources: Primary care - Clinic, Secondary care - In-patients

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