Quality of human resources staff ethnicity data in health in Aotearoa New Zealand: an audit of “not stated” staff ethnicity and a data linkage assessment

This project assessed the extent of "not stated" staff ethnicity data and misclassification in two large health districts. Staff with "not stated" on their records were willing to provide their ethnicity data when asked the Standard question. This project suggests the need for quality improvement activities in recording HR ethnicity data to support planning and monitoring workforce diversity.

Authors

Institutions

Publication Details

Journal
New Zealand Medical Journal
Published
2026-03-23
DOI
https://doi.org/10.26635/6965.7013
Primary Topic
Athletic Training and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quality of human resources staff ethnicity data in health in Aotearoa New Zealand: an audit of “not stated” staff ethnicity and a data linkage assessment

Dale Bramley, Karen Bartholomew, S Hawke, Aroha Haggie et al.
New Zealand Medical Journal
Athletic Training and Education
article

Quality of human resources staff ethnicity data in health in Aotearoa New Zealand: an audit of “not stated” staff ethnicity and a data linkage assessment

Dale Bramley, Karen Bartholomew, S Hawke, Aroha Haggie, Phyu Sin Aye, Vanessa Duthie, Ross Souster, Wendy Bennett, Michael Walsh, Fiona McCarthy, Vanessa Aplin, Sue Crengle
article en

Abstract

This project assessed the extent of "not stated" staff ethnicity data and misclassification in two large health districts. Staff with "not stated" on their records were willing to provide their ethnicity data when asked the Standard question. This project suggests the need for quality improvement activities in recording HR ethnicity data to support planning and monitoring workforce diversity.

New Zealand Medical JournalVol. 139(1632)
Statistics New Zealand (NZ), Government of New Zealand (NZ), Waitemata District Health Board (NZ), University of Otago (NZ)
Openalex Percentile: Top 13%
Athletic Training and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.