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Screenshot 2023 04 13 172756
Info to support ethics and funding applications
The research network document, 'Information for Researchers to Support Ethics and Funding Applications' is now available for use. Download it at the link below.
Download the document
Presentations available - first interRAI Knowledge Exchange Forum
This event arose from a discussion about the interRAI database and how researchers may be looking for topics on health of older people to explore, while others in the sector may have topics but not the resources or expertise to explore them. Follow the link to read more and access the presentations.
More info and presentations
Second Knowledge Exchange Forum
A smaller group of researchers presented their work at the second Knowledge Exchange forum. Time was also given to establishing a collaboration group - the interRAI Research Network.
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Third Knowledge Exchange Forum - 16 Feb 2023
We're delighted to announce the third interRAI Knowledge Exchange Forum, taking place in Wellington on 16 February 2023.

Our special guests for this event are members of the interRAI Instrument and Systems Development committee (ISD).
Full details
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New publication for 2023
interRAI Research Network members, aren't wasting any time in 2023! Hamish Jamieson and Ulrich Bergler are authors of the following paper:

Jamieson, H., Nishtala, P. S., Bergler, H. U., Weaver, S. K., Pickering, J. W., Ailabouni, N. J., ... & Mangin, D. (2023). Deprescribing anticholinergic and sedative drugs to reduce polypharmacy in frail older adults living in the community: a randomized controlled trial. The Journals of Gerontology: Series A, glac249.

Questions about interRAI data

Since reporting first began from interRAI, there has been occasional requests to provide counts of unique clients rather than counts of assessments. We have provided this for some ad hoc requests. Although it sounds like a reasonable and useful request, it does prove to be logically and technically challenging for dynamic (e.g. Power BI) reporting. The main issue is that distinct clients are inconsistently counted by demographic variables. I.e. in subsequent assessments, clients can move between the demographic groups by which we often segment by, e.g. age group, DHB. This would cause clients to be double counted, or inconsistently counted depending on the reporting parameters that are chosen.

interRAI assessments collect ethnicity from clients at Statistics NZ level 4, with up to 6 options possible. This changed in 2018 where previously ethnicity was collected at Statistics NZ level 2, with up to 3 options possible. All of this data is stored in the interRAI data warehouse.

We predominantly report at a single prioritised ethnicity level, usually NZ Māori, Pacific Peoples, Asian, Other. For each assessment, the single prioritised ethnicity is determined using standard Statistics NZ prioritisation rules. e.g., if a client records their ethnicities to be Tongan, New Zealand Māori and Irish. Then the prioritisation algorithm selects NZ Māori as their single prioritised ethnicity. The order of ethnicities that the client records does not matter, the highest prioritised ethnicity is selected in each case. The Level 2 ethnic group priority is shown here:

The Level 2 ethnic group priority is shown here: Ethnicity code tables | Ministry of Health NZ 

More information on Health Ethnicity Data Protocols can be found here: HISO 10001:2017 Ethnicity Data Protocols | Ministry of Health NZ 

Presentations and publications

Access the latest presentations and published research from members of the network below.



interRAI and BMI - Sue McDonnell

An Aged Care Consortium - Ngaire Kerse, Vanessa Burrholt, Joanna Hikaka et al.


Quality Indicators - Risk Adjustment


Michelle Liu, TAS - Data visualisation 

Dr Nigel Millar, Southern DHB - High quality assessment data as a substrate for research: what questions could we answer?

Dr Hamish Jamieson, University of Otago - Improving Ageing with Big Data

Andrea Davidson, Canterbury DHB - Informing and Validating Clinical Pathways: InterRAI Data and How We Use It

Ross Judge, Ministry of Health - Initiatives using interRAI data

Joanne Edwards, Wairarapa DHB - interRAI-based analysis of the use of services by people with cognitive impairment

Simone Newsham, Nelson-Marlborough Health - Practical Applications for the DIVERT Scale

Sally Heppenstall, Access Community Health - Practical application of interRAI data in HCSS service planning

Dr Gary Cheung, University of Auckland - Promoting International Collaboration Through Data Sharing

Dr Rosie Gibson, Massey Sleep/Wake Research Centre - Sleep Status as a Marker for Older NZrs’ Health Outcomes and Service Requirements

Heather McLeod, Heather McLeod & Associates Ltd - Trajectories of care at the end of life

Robyn Johnston, University of Canterbury - Using the interRAI Community Health Assessment to benefit retirement villages and their residents


Aged residential care


Cheung, G., Mah, T. M., Barak, Y., & Hirdes, J. P. (2021). Determinants of Non-emergency Use of Control Interventions in Older Canadian Psychiatric Inpatients: Analysizing the InterRAI Mental Health Electronic Health Records. Frontiers in Psychiatry, 1603.

New Zealand

Bloomfield, K., Wu, Z., Broad, J. B., Tatton, A., Calvert, C., Hikaka, J., Boyd, M., Peri, K., Bramley, D., Higgins, A., & Connolly, M. J. (2021). Factors associated with healthcare utilization and trajectories in retirement village residents. Journal of the American Geriatrics Society70(3), 754 - 765. 

Bloomfield, K., Wu, Z., Tatton, A., Calvert, C., Peel, N., Hubbard, R., Jamieson, H., Hikaka, J., Boyd, M., Bramley, D., & Connolly, M. J. (2020). An interrai‐derived frailty index is associated with prior hospitalisations in older adults residing in retirement villages. Australasian Journal on Ageing, 40(1), 66–71.

Boyd, M., Calvert, C., Tatton, A., Wu, Z., Bloomfield, K., Broad, J. B., Hikaka, J., Higgins, A.-M., & Connolly, M. J. (2020). Lonely in a crowd: Loneliness in New Zealand retirement village residents. International Psychogeriatrics, 33(5), 481–493.

Broad, J. B., Wu, Z., Bloomfield, K., Hikaka, J., Bramley, D., Boyd, M., Tatton, A., Calvert, C., Peri, K., Higgins, A.-M., & Connolly, M. J. (2020). Health profile of residents of retirement villages in Auckland, New Zealand: Findings from a cross-sectional survey with health assessment. BMJ Open, 10(9).

Cheung, G., Bala, S., Lyndon, M., Ma'u, E., Rivera Rodriguez, C., Waters, D. L., Jamieson, H., Nada‐Raja, S., Chan, A. H. Y., Beyene, K., Meehan, B., & Walker, X. (2021). Impact of the first wave of Covid‐19 on the Health and psychosocial well‐being of Māori, Pacific peoples and New Zealand Europeans living in aged residential care. Australasian Journal on Ageing, 41(2), 293–300.

Holdaway, M., Wiles, J., Kerse, N., Wu, Z., Moyes, S., Connolly, M. J., ... & Broad, J. B. (2021). Predictive factors for entry to long-term residential care in octogenarian Māori and non-Māori in New Zealand, LiLACS NZ cohort. BMC Public Health, 21(1), 1-11.

Home care


Chan, C. Y., Cheung, G., Martinez-Ruiz, A., Chau, P. Y., Wang, K., Yeoh, E. K., & Wong, E. L. (2021). Caregiving burnout of community-dwelling people with dementia in Hong Kong and New Zealand: a cross-sectional study. BMC geriatrics, 21(1), 1-15.

New Zealand

Gee, S., Croucher, M., & Cheung, G. (2021). Performance of the Cognitive Performance Scale of the Resident Assessment Instrument (interRAI) for Detecting Dementia amongst Older Adults in the Community. International Journal of Environmental Research and Public Health18(13), 6708. MDPI AG.

Palliative care

Cheung, G., Martinez-Ruiz, A., Knell, R., O'Callaghan, A., & Guthrie, D. M. (2020). Factors associated with terminally ill people who want to die. Journal of Pain and Symptom Management, 60(3), 539-548.

Robinson, J., Frey, R., Boyd, M., McLeod, H., Meehan, B., & Gott, M. (2021). InterRAI assessments: opportunities to recognise need for and implementation of palliative care interventions in the last year of life?. Australasian Journal on Ageing, 40(1), e22-e28.


Abey-Nesbit, R., Bergler, U., Pickering, J. W., Nishtala, P. S., & Jamieson, H. (2022). Development and validation of a frailty index compatible with three interRAI assessment instruments. Age and Ageing, 51(8), afac178.

Lord, S., Teh, R., Gibson, R. et al. Optimising function and well-being in older adults: protocol for an integrated research programme in Aotearoa/New Zealand. BMC Geriatrics 22, 215 (2022).