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Hidden figures and misnomers: a case for disaggregated Asian health statistics in Aotearoa New Zealand to improve health outcomes.

Publication ,  Journal Article
Parackal, S; Coppell, K; Yang, CL; Sullivan, T; Subramaniam, RM
Published in: N Z Med J
November 26, 2021

People of Asian ethnicity in Aotearoa New Zealand currently constitute 15% of the population. The majority are migrants. The current sources of data to monitor Asian health in New Zealand are routine population surveys and administrative data. This article highlights the effect of "masking" due to the use of a single "Asian" category for reporting health indicators. Issues regarding the use of the "Other Asian" category in administrative data are also discussed. This discourse provides an impetus to raise questions on how we should be developing policies, strategies and investments to make visible the hidden figures of Asian health statistics in New Zealand. Given that Asian population will become the second largest ethnic group in New Zealand, practical steps need to be taken to strengthen the New Zealand health strategy and enable equitable investment in Asian health.

Duke Scholars

Published In

N Z Med J

EISSN

1175-8716

Publication Date

November 26, 2021

Volume

134

Issue

1546

Start / End Page

109 / 116

Location

New Zealand

Related Subject Headings

  • Public Health
  • Outcome Assessment, Health Care
  • New Zealand
  • Humans
  • General & Internal Medicine
  • Ethnicity
  • Asian People
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences
 

Citation

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Parackal, S., Coppell, K., Yang, C. L., Sullivan, T., & Subramaniam, R. M. (2021). Hidden figures and misnomers: a case for disaggregated Asian health statistics in Aotearoa New Zealand to improve health outcomes. N Z Med J, 134(1546), 109–116.
Parackal, Sherly, Kirsten Coppell, Carlos Lam Yang, Trudy Sullivan, and Rathan M. Subramaniam. “Hidden figures and misnomers: a case for disaggregated Asian health statistics in Aotearoa New Zealand to improve health outcomes.N Z Med J 134, no. 1546 (November 26, 2021): 109–16.
Parackal S, Coppell K, Yang CL, Sullivan T, Subramaniam RM. Hidden figures and misnomers: a case for disaggregated Asian health statistics in Aotearoa New Zealand to improve health outcomes. N Z Med J. 2021 Nov 26;134(1546):109–16.
Parackal, Sherly, et al. “Hidden figures and misnomers: a case for disaggregated Asian health statistics in Aotearoa New Zealand to improve health outcomes.N Z Med J, vol. 134, no. 1546, Nov. 2021, pp. 109–16.
Parackal S, Coppell K, Yang CL, Sullivan T, Subramaniam RM. Hidden figures and misnomers: a case for disaggregated Asian health statistics in Aotearoa New Zealand to improve health outcomes. N Z Med J. 2021 Nov 26;134(1546):109–116.

Published In

N Z Med J

EISSN

1175-8716

Publication Date

November 26, 2021

Volume

134

Issue

1546

Start / End Page

109 / 116

Location

New Zealand

Related Subject Headings

  • Public Health
  • Outcome Assessment, Health Care
  • New Zealand
  • Humans
  • General & Internal Medicine
  • Ethnicity
  • Asian People
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences