Identifying multiple sclerosis in linked administrative health data in Aotearoa New Zealand
Characteristics of MS cases were broadly similar to previous research, excepting a greater estimated prevalence among Māori, and a lower relative estimated prevalence for Auckland than surrounding regions. Linked administrative health data can be used to identify people with MS in Aotearoa, providing a mechanism for further research.
Authors
- Vanessa Selak (ORCID: https://orcid.org/0000-0002-9824-8674)
- Lisa Underwood (ORCID: https://orcid.org/0000-0001-7775-8272)
- Andrew Sporle (ORCID: https://orcid.org/0000-0003-1620-473X)
- Julie Winter-Smith (ORCID: https://orcid.org/0000-0001-5782-9176)
- Annemarei Ranta (ORCID: https://orcid.org/0000-0002-3223-3330)
- Natalia Boven (ORCID: https://orcid.org/0000-0002-9911-2082)
- Barry Milne (ORCID: https://orcid.org/0000-0002-0318-1201)
- Deborah Mason
Institutions
- University of Auckland (NZ)
- Christchurch Hospital (NZ)
- University of Otago (NZ)
Publication Details
- Journal
- New Zealand Medical Journal
- Published
- 2025-03-26
- DOI
- https://doi.org/10.26635/6965.6823
- Citations
- 1
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.47