Literature DB >> 29644776

Constructing whole of population cohorts for health and social research using the New Zealand Integrated Data Infrastructure.

Jinfeng Zhao1, Sheree Gibb2, Rod Jackson1, Suneela Mehta1, Daniel J Exeter1.   

Abstract

OBJECTIVES: To construct and compare a 2013 New Zealand population derived from Statistics New Zealand's Integrated Data Infrastructure (IDI) with the 2013 census population and a 2013 Health Service Utilisation population, and to ascertain the differences in cardiovascular disease prevalence estimates derived from the three cohorts.
METHODS: We constructed three national populations through multiple linked administrative data sources in the IDI and compared the three cohorts by age, gender, ethnicity, area-level deprivation and District Health Board. We also estimated cardiovascular disease prevalence based on hospitalisations using each of the populations as denominators.
RESULTS: The IDI population was the largest and most informative cohort. The percentage differences between the IDI and the other two populations were largest for males and for those aged 15-34 years. The percentage differences between the IDI and Census cohorts were largest for people living in the most deprived areas. The ethnic distribution varied across the three cohorts. Using the IDI population as a reference, the Health Service Utilisation population generally overestimated cardiovascular disease prevalence, while the Census population generally underestimated it. CONCLUSIONS AND IMPLICATIONS: The New Zealand IDI population is the most comprehensive and appropriate national cohort for use in health and social research.
© 2018 The Authors.

Entities:  

Keywords:  Integrated Data Infrastructure; data linkage; health data; population denominator

Mesh:

Year:  2018        PMID: 29644776     DOI: 10.1111/1753-6405.12781

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  4 in total

1.  Association Between High-Need Education-Based Funding and School Suspension Rates for Autistic Students in New Zealand.

Authors:  Nicholas Bowden; Sheree Gibb; Richard Audas; Sally Clendon; Joanne Dacombe; Jesse Kokaua; Barry J Milne; Himang Mujoo; Samuel William Murray; Kirsten Smiler; Hilary Stace; Larah van der Meer; Barry James Taylor
Journal:  JAMA Pediatr       Date:  2022-07-01       Impact factor: 26.796

2.  How universal are universal preschool health checks? An observational study using routine data from New Zealand's B4 School Check.

Authors:  Sheree Gibb; Barry Milne; Nichola Shackleton; Barry J Taylor; Richard Audas
Journal:  BMJ Open       Date:  2019-04-03       Impact factor: 2.692

3.  The Centre for Data and Knowledge Integration for Health (CIDACS): Linking Health and Social Data in Brazil.

Authors:  M L Barreto; M Y Ichihara; B A Almeida; M E Barreto; L Cabral; R L Fiaccone; R P Carreiro; Cas Teles; R Pitta; G O Penna; M Barral-Netto; M S Ali; G Barbosa; S Denaxas; L C Rodrigues; L Smeeth
Journal:  Int J Popul Data Sci       Date:  2019-11-20

4.  Autism spectrum disorder/Takiwātanga: An Integrated Data Infrastructure-based approach to autism spectrum disorder research in New Zealand.

Authors:  Nicholas Bowden; Hiran Thabrew; Jesse Kokaua; Richard Audas; Barry Milne; Kirsten Smiler; Hilary Stace; Barry Taylor; Sheree Gibb
Journal:  Autism       Date:  2020-07-17
  4 in total

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