Evidence map›Paper›PMID 31651250›Full record

ArticleBMC geriatrics2019

Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data.

Md Mijanur Rahman, Jimmy T Efird, Julie E Byles

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Housing and Care for Older Women in Australia.Frontiers in public health · 2021
    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

3 authors at 2 institutions in 2 countries.

Md Mijanur RahmanPriority Research Centre for Generational Health and Ageing, University of Newcastle, West Wing, Level 4, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia. MdMijanur.Rahman@uon.edu.au.ORCID 0000-0001-6879-2049
Jimmy T EfirdPriority Research Centre for Generational Health and Ageing, University of Newcastle, West Wing, Level 4, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
Julie E BylesPriority Research Centre for Generational Health and Ageing, University of Newcastle, West Wing, Level 4, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
University of Newcastle Australia · AUComilla University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver two-thirds of older Australians use different types/levels of aged care at some point in later life. Our aims were to estimate transitional probabilities and to identify risk factors influencing the movement between different levels of long-term care.

methodsThe sample consisted of 9007 women from the 1921-26 birth cohort of the Australian Longitudinal Study on Women's Health. Transitional probabilities between different levels of long-term care were estimated using a continuous-time Markov model.

resultsAn 11-fold transition rates ratio was observed for the movement from non-user to home and community care (HACC) versus non-user to residential aged care (RAC). The predicted probabilities of remaining in the non-user state, HACC, and RAC after 10 years from the baseline were .28, .24, and .11, respectively. While the corresponding probabilities of dying from these states were .36, .65, and .90. The risk of transitioning from the non-user state to either HACC or RAC was greater for participants who were older at baseline, widowed, living outside of major cities, having difficulties in managing income, or having chronic condition, poor/fair self-rated health, or lower SF-36 scores (p < .05).

conclusionWomen spend a substantial period of their later life using long-term care. Typically, this will be in the community setting with a low level of care. The transition to either HACC or RAC was associated with several demographic and health-related factors. Our findings are important for the planning and improvement of long-term care among future generations of older people.

trial registrationNot applicable.

Indexed as

Databases, FactualHome Care ServicesWomen's HealthAgedAged, 80 and overAustraliaChronic DiseaseCohort StudiesDelivery of Health CareFemaleHumansLongitudinal StudiesLong-Term CarePatient TransferRisk FactorsHome and community careMarkov multi-state modelResidential aged careRisk factorsTransitional probability

Identifiers

PMID31651250
PMCPMC6814097
OpenAlexW2982023689

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.