Evidence map›Paper›PMID 40556313›Full record

ArticleThe Medical journal of Australia2025

The prevalence of and variation in indicators of the quality and safety of long term aged care in Australia, 2019: a cross-sectional population-based study.

Tesfahun C Eshetie, Gillian E Caughey, Catherine Lang, Olivia Ryan, Renuka Visvanathan, Craig Whitehead, Keith Evans, Janet K Sluggett, Jyoti Khadka, Carolyn Dawkins and 10 more

Abstract read
In one paragraph

Article in The Medical journal of Australia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Implementation science in care for older adults across healthcare settings: a scoping review.Archives of public health = Archives belges de sante publique · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Reporting aged care quality data monthly, quarterly, or annually? A cross-sectional study of 349 613 residents and 2803 long-term care facilities.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    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

20 authors.

Tesfahun C EshetieRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Gillian E CaugheyRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Catherine LangRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Olivia RyanRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Renuka VisvanathanAdelaide Geriatrics Training and Research with Aged Care Centre, University of Adelaide, Adelaide, SA.
Craig WhiteheadSouthern Adelaide Local Health Network, SA Health, Adelaide, SA.
Keith EvansRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Janet K SluggettRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.ORCID 0000-0002-9059-5209
Jyoti KhadkaRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.ORCID 0000-0003-1012-2119
Carolyn DawkinsECH Inc, Adelaide, SA.
Helena WilliamsSilverChain Group Limited, Adelaide, SA.
Miranda StarkeCouncil on the Ageing South Australia, Adelaide, SA.
Sara BluntJames Brown Memorial Trust, Adelaide, SA.
Anne LiddellAgeing Australia, Adelaide, SA.
Megan CorlisAustralian Nursing and Midwifery Federation (SA Branch), Adelaide, SA.
Anna SheppeardRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Penelope LelloRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Marilyn von ThienRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.
Steven L WesselinghSouth Australian Health and Medical Research Institute, Adelaide, SA.
Maria C InacioRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, Adelaide, SA.

Funding

Hospital Research Foundation MCF-27-2019National Health and Medical Research Council GNT119378National Health and Medical Research Council GNT2026400
6 · The paper itself

Abstract

objectivesTo examine the prevalence of and variation in indicators of the quality and safety of care provided to older Australians who received subsidised long term care during 2019, by type of care (residential aged care or home care packages). STUDY

designCross-sectional population-based study; analysis of linked data from the Registry of Senior Australians (ROSA) National Historical Cohort (National Aged Care Data Clearinghouse, National Death Index, Medicare Benefits Schedule, Pharmaceutical Benefits Scheme databases; South Australian, New South Wales, Victorian, and Queensland hospital admissions and emergency department [ED] presentations databases). SETTING,

participantsAll people in the ROSA National Historical Cohort who received residential or home-based aged care during the 2019 calendar year.

main outcome measuresRisk-adjusted prevalence estimates (with 95% confidence intervals, CIs) for quality and safety indicators of care (twelve for residential care, fifteen for home care packages); proportions by indicator of outlier residential facilities and home care services (outside 95% CI for mean value) as a measure of variation in quality of care.

resultsIn 2019, 244 754 people received residential aged care in 2746 facilities; 149 104 people received home care packages through 2407 home care services. For residential aged care, indicator prevalence and variation were highest for antibiotic use (prevalence: 64.5% [95% CI, 64.3-64.7%]; 13.9% of facilities beyond upper 95% CI bound), high sedative load (prevalence: 45.2%, [95% CI, 45.0-45.4%]; 12.4% beyond upper 95% CI bound), and ED presentations (prevalence: 37.8% [95% CI, 37.6-38.0%]; 19.3% beyond upper 95% CI bound). For home care services, indicator prevalence and variation were highest for waiting time longer than six months (prevalence: 81.8% [95% CI, 81.4-82.1%]; 17.5% of services beyond upper 95% CI bound), ED presentations (prevalence: 43.2% [95% CI, 43.0-43.5%]; 14.7% beyond upper 95% CI bound), chronic disease management plans (prevalence: 43.2% [95% CI, 42.9-43.5%]; 12.9% below lower 95% CI bound), and home medicines reviews (prevalence: 3.2% [95% CI, 3.1-3.3%]; 28.9% below lower 95% CI bound). The proportions of home care recipients were larger than for facility residents for hospitalisations with delirium/dementia (home care, 10.5% [95% CI, 10.1-10.9%]; residents, 4.3% [95% CI, 4.2-4.4%]), weight loss/malnutrition (home care, 5.5% [95% CI, 5.3-5.6%]; residents, 2.5% [95% CI, 2.4-2.6%]), or medication-related events (home care, 4.6% [95% CI, 4.5-4.7%]; residents, 2.4% [95% CI, 2.3-2.5%]).

conclusionsThe marked national variations by residential or home aged care provider in antibiotic use, ED presentations, high sedative load, longer waiting times for home care services, home medicines reviews, and chronic disease management plans suggest these areas could benefit from targeted quality improvement strategies.

Indexed as

Health Services for the AgedHome Care ServicesHomes for the AgedLong-Term CarePatient SafetyQuality Indicators, Health CareAgedAged, 80 and overAustraliaCross-Sectional StudiesFemaleHumansMaleRegistriesAgedAgingBenchmarkingCasemixDementiaHealthcare disparitiesHealth services for the agedHealth status indicatorsQuality of health careRegistriesSurveillance

Identifiers

PMID40556313
PMCPMC12358104

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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.