Evidence map›Paper›PMID 31387533›Full record

ArticleBMC geriatrics2019

Trends in the utilisation of aged care services in Australia, 2008-2016.

Jyoti Khadka, Catherine Lang, Julie Ratcliffe, Megan Corlis, Steve Wesselingh, Craig Whitehead, Maria Inacio

Abstract 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 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. The impact of outsourcing bed-based aged care services on quality of care: A multisite observational study.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2022
    Observational
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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

7 authors.

Jyoti KhadkaHealthy Ageing Research Consortium, Registry of Older South Australians, South Australian Health and Medical Research Institute, North Terrace, PO Box: 11060, Adelaide, SA, 5001, Australia. Jyoti.khadka@sahmri.com.ORCID 0000-0003-1012-2119
Catherine LangHealthy Ageing Research Consortium, Registry of Older South Australians, South Australian Health and Medical Research Institute, North Terrace, PO Box: 11060, Adelaide, SA, 5001, Australia.
Julie RatcliffeCollege of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
Megan CorlisHelping Hand, Adelaide, Australia.
Steve WesselinghHealthy Ageing Research Consortium, Registry of Older South Australians, South Australian Health and Medical Research Institute, North Terrace, PO Box: 11060, Adelaide, SA, 5001, Australia.
Craig WhiteheadCollege of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
Maria InacioHealthy Ageing Research Consortium, Registry of Older South Australians, South Australian Health and Medical Research Institute, North Terrace, PO Box: 11060, Adelaide, SA, 5001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAged care support services in Australia are delivered through home care packages, permanent residential care, respite care and transition care. This study aimed to determine age and gender specific incidence rates of aged care service utilisation in Australia between 2008-09 and 2015-16.

methodsThis is a population-based epidmiological study of people accessing aged care services in Australia. The trends and characteristics of people (over the age of 65 years old) accessing aged care services in Australia were evaluated, using data (2008-09 and 2015-16) from the Australian Institute of Health and Welfare and Australian Bureau of Statistics. The yearly utilisation incidence rates (per 1000 people) per service type were calculated and changes in incidence rate ratios (IRR) of service utilisation for the study period were estimated using Poisson regression models.

resultsThe proportion of older Australians aged ≥65 years who used aged care services remained similar between 2008-09 (5.4%, N = 208,247) and 2015-16 (5.6%, N = 248,669). However, the incidence use of specific services changed during the study period. Specifically, admissions into permanent residential care decreased (from 23.8/1000 people in 2008-09 to 19.6/1000 in 2015-16, at a IRR of 0.84/year, p < 0.001) but increased for transition care (from 4.3/1000 in 2008-09 to 6.6/1000 in 2015-16, at a IRR of 1.57/year, p < 0.001) and home care packages (from 8.04/1000 in 2008-09 to 12.0/1000 per 1000 in 2015-16, at a IRR of 1.52/year, p < 0.001). Between 2008-09 and 2015-16, the greatest changes in IRR were observed in males aged 80-89 years accessing transition care (IRR = 1.68/year, p < 0.001). A higher proportion of people aged between 80-89 years (≥45%), females (≥60%), Australia born (≥ 60%) and English speakers (≥80%) used all the service types.

conclusionsPatterns of service utilisation for aged care services changed over the study period with a decrease in incidence of individuals accessing permanent residential care but increased for other service types. This finding reflects changes in attitudes regarding ageing in place and policies. These findings are helpful to inform key stakeholders on service planning to further improve quality of the aged-care services in Australia.

Indexed as

Patient Acceptance of Health CareAdolescentAdultAgedAged, 80 and overAustraliaDelivery of Health CareFemaleHome Care ServicesHomes for the AgedHumansMaleMiddle AgedNursing HomesRespite CareAged careHome careIncidence ratePermanent residential careRespite careTransition careUtilisation

Identifiers

PMID31387533
PMCPMC6685150

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.