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Big Data and Dementia in New Zealand

aut.relation.conferenceAlzheimer’s Association International Conferenceen_NZ
aut.relation.endpagee044374
aut.relation.issueS10en_NZ
aut.relation.startpagee044374
aut.relation.volume16en_NZ
aut.researcherKrishnamurthi, Rita
dc.contributor.authorYates, Sen_NZ
dc.contributor.authorRvera Rodriguez, Cen_NZ
dc.contributor.authorMartinez-Ruiz, Aen_NZ
dc.contributor.authorCoomarasamy, Cen_NZ
dc.contributor.authorWhttington, Ren_NZ
dc.contributor.authorKrishnamurthi, Ren_NZ
dc.contributor.authorCheung, Gen_NZ
dc.contributor.authorKerse, Nen_NZ
dc.contributor.authorCullum, Sen_NZ
dc.date.accessioned2021-10-05T03:07:59Z
dc.date.available2021-10-05T03:07:59Z
dc.date.copyright2020en_NZ
dc.date.issued2020en_NZ
dc.description.abstractBackground: Research is increasingly looking at how routinely collected health and social care data can be used to influence policy and service design, however the accuracy of such data in New Zealand is not known. Estimates suggest there are 62,000 people living with dementia in NZ, projected to reach 170,000 by 2050, however these figures are extrapolated from overseas prevalence data and do not take into account a variety of factors including NZ’s unique demography, specifically Maori and Pacific Islanders who are at higher risk of dementia. Ideally, we would conduct a NZ based dementia prevalence study to obtain accurate data in all the major NZ ethnic groups, however the time and cost required to do this could be prohibitive. The use of routinely collected data may provide a cost-effective alternative or parallel process to assess and monitor dementia in NZ, as well as examine other characteristics which potentially modify the risk of dementia and adverse outcomes. It is unclear whether routinely collected data is a good proxy-measure, given approximately a third of people with dementia never receive a specialist diagnosis, dementia coding is poor even for those who are diagnosed, and there are inequities in how non-European’s access services. Method: A small-scale dementia prevalence study is currently being completed in two geographic areas of South Auckland. Interviews are being completed by bi-cultural bilingual interviewers in a number of different ethnic groups including Asian, Maori, NZ European, and Pacific Islanders. Routinely collected health and social care data for the same geographic areas are also being collected. Result: Data collection is due to be completed in the first half of 2019, following which the sensitivity and positive predictive value of the routinely collected dataset will be assessed. Conclusion: Routinely collected data can be a rich source of information, particularly in populations which are little researched or where further information is needed. In NZ little is known about the extent of dementia, and whether this differs across the major ethnic groups. It is hoped that this research will provide a starting point for robust collection of dementia healthcare information in NZ.
dc.identifier.citationAlzheimer's & Dementia, 16: e044374. https://doi.org/10.1002/alz.044374
dc.identifier.doi10.1002/alz.044374
dc.identifier.issn1552-5260en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/14548
dc.publisherWileyen_NZ
dc.relation.urihttps://alz-journals.onlinelibrary.wiley.com/doi/10.1002/alz.044374en_NZ
dc.rights© 2020 the Alzheimer’s Association. Free access.
dc.rights.accessrightsOpenAccessen_NZ
dc.titleBig Data and Dementia in New Zealanden_NZ
dc.typeConference Contribution
pubs.elements-id441077
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Health & Environmental Science
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Clinical Sciences
pubs.organisational-data/AUT/Faculty of Health & Environmental Science/School of Clinical Sciences/Psychology & Neuroscience Department
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HY Public Health & Psychosocial Studies 2018 PBRF

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