Document Detail

Anonymous linkage of New Zealand mortality and Census data.
MedLine Citation:
PMID:  10777988     Owner:  NLM     Status:  MEDLINE    
BACKGROUND: The New Zealand Census-Mortality Study (NZCMS) aims to investigate socio-economic mortality gradients in New Zealand, by anonymously linking Census and mortality records. OBJECTIVES: To describe the record linkage method, and to estimate the magnitude of bias in that linkage by demographic and socio-economic factors. METHODS: Anonymous 1991 Census records, and mortality records for decedents aged 0-74 years on Census night and dying in the three-year period 1991-94, were probabilistically linked using Automatch. Bias in the record linkage was determined by comparing the demographic and socio-economic profile of linked mortality records to unlinked mortality records. RESULTS: 31,635 of 41,310 (76.6%) mortality records were linked to one of 3,373,896 Census records. The percentage of mortality records linked to a Census record was lowest for 20-24 year old decedents (49.0%) and highest for 65-69 year old decedents (81.0%). By ethnic group, 63.4%, 57.7%, and 78.6% of Maori, Pacific, and decedents of other ethnic groups, respectively, were linked. Controlling for demographic factors, decedents from the most deprived decile of small areas were 8% less likely to be linked than decedents from the least deprived decile, and male decedents from the lowest occupational class were 6% less likely to be linked than decedents from the highest occupational class. CONCLUSION: The proportion and accuracy of mortality records linked was satisfactorily high. Future estimates of the relative risk of mortality by socio-economic status will be modestly under-estimated by 5-10%.
T Blakely; A Woodward; C Salmond
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Australian and New Zealand journal of public health     Volume:  24     ISSN:  1326-0200     ISO Abbreviation:  Aust N Z J Public Health     Publication Date:  2000 Feb 
Date Detail:
Created Date:  2000-05-04     Completed Date:  2000-05-04     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9611095     Medline TA:  Aust N Z J Public Health     Country:  AUSTRALIA    
Other Details:
Languages:  eng     Pagination:  92-5     Citation Subset:  IM    
Department of Public Health, Wellington School of Medicine, University of Otago, New Zealand.
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MeSH Terms
Age Distribution
Bias (Epidemiology)
Cause of Death
Child, Preschool
Death Certificates*
Infant, Newborn
Linear Models
Medical Record Linkage / methods*
Middle Aged
New Zealand / epidemiology
Population Surveillance / methods*
Reproducibility of Results
Risk Factors
Sex Distribution
Socioeconomic Factors*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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