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Record W3037642449 · doi:10.5694/mja2.50670

Is Australia over‐reliant on residential aged care to support our older population?

2020· article· en· W3037642449 on OpenAlex
Suzanne M Dyer, Madeline Valeri, Nimita Arora, Dominic Tilden, Maria Crotty

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Medical Journal of Australia · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilFlinders University
KeywordsRespite careInterimLong-term careCommissionHealth careMedicinePopulationPopulation ageingBusinessPersonal careNursingEconomic growthEnvironmental healthFamily medicinePolitical science

Abstract

fetched live from OpenAlex

OECD data indicate that Australia is a comparatively high user of residential aged care The Royal Commission into Aged Care Quality and Safety interim report highlighted many concerns about aged care in Australia.1 These include that “the system designed to care for older Australians is woefully inadequate”, and that “aged care services … have simply not been seen as a priority by successive Australian Governments”. To inform the Royal Commission, we undertook a review of international approaches to the provision of aged care.2 As a component of our review, we examined data reported to the Organisation for Economic Co-operation and Development from 13 countries.3 The list of countries included in the review was developed in consultation with experts and with input from representatives from the Royal Commission. Countries were selected based on the availability of information, applicability to the Australian aged care system, and to ensure a diverse range of countries were represented. Long term care is the provision of services for medical needs, personal care and assistance in living independently for people with long term dependencies due to their health care needs. Long term care can be provided in institutions (eg, nursing homes or residential aged care facilities) or by providing services to assist people to remain living in their own homes, including community services such as respite care. The OECD defines long term care institutions as specifically designed nursing and residential care facilities that provide accommodation and care as a package, with the predominant service being care. Institutional long term care recipients are those receiving formal long term care in institutions other than hospitals. We compared numbers of older long term care recipients in institutional care (12 countries) and estimates of long term care expenditure for older people (12 countries) (Box). Notes: Data refer to 2015 or nearest year. A: Data not available for UK; it is unclear whether or not older people living in skilled nursing facilities are counted in US data. B: Data not available for New Zealand. Old age benefits in kind were not reported for Canada or Poland; Germany reports zero expenditure as benefits in kind. US expenditure may only include institutional care.4 Data extracted on 6 May 2019 (A) and 15 September 2019 (B) from https://stats.oecd.org/index.aspx?DataSetCode=HEALTH_STAT.3 Australia provides institutional long term care for almost 20% of the population aged ≥ 80 years, and 6% of those aged ≥ 65 years. This places Australia as the nation with the highest proportion of older people living in institutional care compared with 11 other nations (Box, A). The relative use of institutional care, as opposed to home or community care, was also highest for Australia, with 52.5% of long term care recipients aged ≥ 65 years and 58.6% of long term care recipients aged ≥ 80 years in institutional care. This is in comparison to a range of 21.6% in Japan to 34.6% in the Netherlands for recipients aged ≥ 65 years, and 23.1% in Japan to 41.8% in Canada for those aged ≥ 80 years (Poland is an exception, with institutional care provided for 94.1% of long term care recipients aged ≥ 65 years, and 100% aged ≥ 80 years, based on 2006 data; however, long term care is highly limited, with only 1.6% of the population aged ≥ 80 years receiving care). Our estimates of gross domestic product (GDP) expenditure on long term care for older people comprise the health component of government/compulsory long term care expenditure (not age-specific) plus social expenditure on old age benefits in kind, as reported to the OECD. This approach best captures Australia's long term care expenditure on older people. Benefits in kind are services such as the home care packages program. However, this estimate does not capture cash benefits such as the carer allowance in Australia or direct cash payments that are a component of aged care benefits in some other nations (eg, Germany, England, Poland). In the OECD database, these payments cannot be separated from non-care related cash provisions for older people, such as the age pension. The expenditure estimates indicate that many other nations spend a much greater proportion of their GDP on long term care for older people (Box, B). Different approaches to funding are used in other countries, including the provision of universal social care insurance, some of which includes compulsory contribution schemes such as in Japan and Germany.5 Limitations in these international comparisons include possible differences between nations in reporting or definitions of institutions, lack of data on the dependency levels of care recipients, and comparisons being limited to OECD nations reporting institutional care use. Nevertheless, the data indicate that in Australia a comparatively high proportion of older people live in institutions, with a relatively low financial investment in the whole aged care sector. While many countries have wait lists for home care services, the wait times of over 12 months for home care packages at the approved level (for level 2 and above; ie, beyond basic care needs, providing low to high level care) may lead to premature admission to institutional care for some people.6-8 In November 2019, the Australian government announced funding of an additional 10 000 home care packages at a cost of $496 million.9 However, in September 2019, there were about 63 000 people waiting for an approved home care package, and an additional 49 000 people were offered, while waiting, a package at a level lower than that approved.6 Some countries focus on keeping older people at home, with greater emphasis on preventive and rehabilitation approaches.10, 11 In Denmark, for example, legislation obliges local municipalities to assess all older people applying for home care for their suitability for reablement: short term home-based training programs aiming to increase people's independence.11 To reduce the number and proportion of older Australians living in residential aged care, there needs to be an increase in investment across the sector, particularly in home- and community-based care. This work was funded by the Royal Commission into Aged Care Quality and Safety and the National Health and Medical Research Council (NHMRC) Cognitive Decline Partnership Centre. Staff and an advisor of the Royal Commission into Aged Care Quality and Safety contributed to the selection of countries to be reviewed, and collection and interpretation of data on international GDP expenditure on long term care. The Aged Care Royal Commission did not contribute to the drafting of, or interpretation of the data in, this article. The contents of the published materials are solely the responsibility of the administering institution, Flinders University, and the individual authors identified, and do not reflect the views of the NHMRC or the funders. Maria Crotty was part of the NHMRC Cognitive Decline Partnership Centre and received funds. This partnership centre included three Australian not-for-profit aged care providers. Suzanne Dyer received salary from these grants. Dominic Tilden is owner and director of, and Madeline Valeri and Nimita Arora are employees of, a private health economics consultancy that provides services to multiple pharmaceutical and devices companies, but no aged care providers. Not commissioned; externally peer reviewed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.393
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it