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An aetiological classification of birth defects for epidemiological research

An aetiological classification of birth defects for epidemiological research
An aetiological classification of birth defects for epidemiological research
BACKGROUND: Congenital anomaly registers collect data on antenatally and postnatally detected anomalies for surveillance, research, and public health purposes. Each anomaly is coded using the International Statistical Classification of Diseases and Related Health Problems (ICD-9/ICD-10) based on body systems, allowing accurate comparisons between registers for individual anomalies. When commencing an environmental, epidemiological study, it became clear to us that there is no standard classification that takes aetiology into account. This paper describes a new classification for use in studies addressing aetiology.
METHOD: A classification system was evolved and piloted using cases in a study of geographical variation in congenital anomaly prevalence.1 Cases that were difficult to categorise were noted, and after discussion with a team of experts, the classification was adjusted accordingly.
Results and CONCLUSION: A robust, hierarchical method of classifying birth defects into eight categories has been produced, for use at source of data registration in conjunction with, but independent of, ICD coding.
disease, environmental, birth, public health, health, classification, research, paper, congenital, genetics
0022-2593
54-57
Wellesley, D.
17cbd6c1-0efb-4df1-ae05-64a44987c9c0
Boyd, P.
509f4035-a6d0-40e0-9a48-12836a96fee3
Dolk, H.
74d140fa-b30c-4e14-9ac5-0897504bfad7
Pattenden, S.
feeeba34-e977-4fb8-a0a5-3e3375c54280
Wellesley, D.
17cbd6c1-0efb-4df1-ae05-64a44987c9c0
Boyd, P.
509f4035-a6d0-40e0-9a48-12836a96fee3
Dolk, H.
74d140fa-b30c-4e14-9ac5-0897504bfad7
Pattenden, S.
feeeba34-e977-4fb8-a0a5-3e3375c54280

Wellesley, D., Boyd, P., Dolk, H. and Pattenden, S. (2005) An aetiological classification of birth defects for epidemiological research. Journal of Medical Genetics, 42 (1), 54-57. (doi:10.1136/jmg.2004.023309).

Record type: Article

Abstract

BACKGROUND: Congenital anomaly registers collect data on antenatally and postnatally detected anomalies for surveillance, research, and public health purposes. Each anomaly is coded using the International Statistical Classification of Diseases and Related Health Problems (ICD-9/ICD-10) based on body systems, allowing accurate comparisons between registers for individual anomalies. When commencing an environmental, epidemiological study, it became clear to us that there is no standard classification that takes aetiology into account. This paper describes a new classification for use in studies addressing aetiology.
METHOD: A classification system was evolved and piloted using cases in a study of geographical variation in congenital anomaly prevalence.1 Cases that were difficult to categorise were noted, and after discussion with a team of experts, the classification was adjusted accordingly.
Results and CONCLUSION: A robust, hierarchical method of classifying birth defects into eight categories has been produced, for use at source of data registration in conjunction with, but independent of, ICD coding.

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More information

Published date: 2005
Keywords: disease, environmental, birth, public health, health, classification, research, paper, congenital, genetics

Identifiers

Local EPrints ID: 60410
URI: http://eprints.soton.ac.uk/id/eprint/60410
ISSN: 0022-2593
PURE UUID: f3efd887-a583-4c9e-8d91-7301382ebc17

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Date deposited: 04 Sep 2008
Last modified: 15 Mar 2024 11:20

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Contributors

Author: D. Wellesley
Author: P. Boyd
Author: H. Dolk
Author: S. Pattenden

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