Evidence map›Paper›PMID 33407278›Full record

ArticleBMC public health2021

Predictive factors for entry to long-term residential care in octogenarian Māori and non-Māori in New Zealand, LiLACS NZ cohort.

Marycarol Holdaway, Janine Wiles, Ngaire Kerse, Zhenqiang Wu, Simon Moyes, Martin J Connolly, Oliver Menzies, Ruth Teh, Marama Muru-Lanning, Merryn Gott and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Codesigning a Culture-Centered Age-Friendly Community for Māori Kaumātua: Cultural Principles and Practices.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Marycarol HoldawayDepartment of Geriatric Medicine, University of Auckland, C/- Waitematā District Health Board, Takapuna, PO Box 93 503, Auckland, New Zealand.
Janine WilesSchool of Population Health, University of Auckland, Auckland, New Zealand.
Ngaire KerseSchool of Population Health, University of Auckland, Auckland, New Zealand.
Zhenqiang WuDepartment of Geriatric Medicine, University of Auckland, C/- Waitematā District Health Board, Takapuna, PO Box 93 503, Auckland, New Zealand.
Simon MoyesSchool of Population Health, University of Auckland, Auckland, New Zealand.
Martin J ConnollyDepartment of Geriatric Medicine, University of Auckland, C/- Waitematā District Health Board, Takapuna, PO Box 93 503, Auckland, New Zealand.
Oliver MenziesAuckland District Health Board, Auckland, New Zealand.
Ruth TehSchool of Population Health, University of Auckland, Auckland, New Zealand.
Marama Muru-LanningJames Henare Māori Research Centre, University of Auckland, Auckland, New Zealand.
Merryn GottSchool of Nursing, University of Auckland, Auckland, New Zealand.
Joanna B BroadDepartment of Geriatric Medicine, University of Auckland, C/- Waitematā District Health Board, Takapuna, PO Box 93 503, Auckland, New Zealand. j.broad@auckland.ac.nz.ORCID 0000-0003-0157-7031

Funding

Health Research Council of New Zealand HRC09/06BMinistry of Health (NZ) -University of Auckland Ngā Pae o te Māramatanga -
6 · The paper itself

Abstract

backgroundLong-term residential care (LTC) supports the most vulnerable and is increasingly relevant with demographic ageing. This study aims to describe entry to LTC and identify predictive factors for older Māori (indigenous people of New Zealand) and non-Māori.

methodsLiLACS-NZ cohort project recruited Māori and non-Māori octogenarians resident in a defined geographical area in 2010. This study used multivariable log-binomial regressions to assess factors associated with subsequent entry to LTC including: self-identified ethnicity, demographic characteristics, self-rated health, depressive symptoms and activities of daily living [ADL] as recorded at baseline. LTC entry was identified from: place of residence at LiLACS-NZ interviews, LTC subsidy, needs assessment conducted in LTC, hospital discharge to LTC, and place of death.

resultsOf 937 surveyed at baseline (421 Māori, 516 non-Māori), 77 already in LTC were excluded, leaving 860 participants (mean age 82.6 +/- 2.71 years Māori, 84.6 +/- 0.52 years non-Māori). Over a mean follow-up of 4.9 years, 278 (41% of non-Māori, 22% of Māori) entered LTC; of the 582 who did not, 323 (55%) were still living and may yet enter LTC. In a model including both Māori and non-Māori, independent risks factors for LTC entry were: living alone (RR = 1.52, 95%CI:1.15-2.02), self-rated health poor/fair compared to very good/excellent (RR = 1.40, 95%CI:1.12-1.77), depressive symptoms (RR = 1.28, 95%CI:1.05-1.56) and more dependent ADLs (RR = 1.09, 95%CI:1.05-1.13). For non-Māori compared to Māori the RR was 1.77 (95%CI:1.39-2.23). In a Māori-only model, predictive factors were older age and living alone. For non-Māori, factors were dependence in more ADLs and poor/fair self-rated health.

conclusionsNon-Māori participants (predominantly European) entered LTC at almost twice the rate of Māori. Factors differed between Māori and non-Māori. Potentially, the needs, preferences, expectations and/or values may differ correspondingly. Research with different cultural/ethnic groups is required to determine how these differences should inform service development.

Indexed as

Activities of Daily LivingAgedAged, 80 and overAgingCohort StudiesHumansNew ZealandAdvanced ageCare transitionEthnic differencesHealth servicesIndigenous peoplesLong-term careRisk factors

Identifiers

PMID33407278
PMCPMC7788817

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.