Evidence map›Paper›PMID 39562325›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2024

Setting standards in residential aged care: identifying achievable benchmarks of care for long-term aged care services.

Johannes Schwabe, Gillian E Caughey, Robert Jorissen, Tracy Comans, Len Gray, Johanna Westbrook, Jeffrey Braithwaite, Peter Hibbert, Steven Wesselingh, Janet K Sluggett and 2 more

Abstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Johannes SchwabeRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5001, Australia.ORCID 0000-0002-0916-3098
Gillian E CaugheyRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5001, Australia.ORCID 0000-0003-1192-4121
Robert JorissenRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5001, Australia.
Tracy ComansCentre for Health Services Research, The University of Queensland, 34 Cornwall St, Brisbane, QLD4102, Australia.
Len GrayCentre for Health Services Research, The University of Queensland, 34 Cornwall St, Brisbane, QLD4102, Australia.
Johanna WestbrookSafety, Quality, Informatics & Leadership Program, Harvard Medical School, Harvard University, 25 Shattuck StreetBoston, MA02115, United States.ORCID 0000-0003-1083-8192
Jeffrey BraithwaiteCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, Sydney, NSW2113, Australia.ORCID 0000-0003-0296-4957
Peter HibbertUniversity of South Australia, UniSA Allied Health and Human Performance, 108 North Terrace, Adelaide, SA5000, Australia.ORCID 0000-0001-7865-343X
Steven WesselinghSouth Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, SA5001, Australia.
Janet K SluggettRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5001, Australia.ORCID 0000-0002-9059-5209
Nasir WabeCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, 75 Talavera Road, Sydney, NSW2113, Australia.
Maria C InacioRegistry of Senior Australians (ROSA), South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5001, Australia.ORCID 0000-0001-8261-2665

Funding

Australian Government Research Future Fund Dementia Ageing and Aged Care Mission Grant MRFF2015823
6 · The paper itself

Abstract

backgroundBenchmark is an important aspect of quality measurement and evaluation of long-term care services (LTCS) performance. In this study, we aimed to estimate achievable benchmarks of care (ABC©) for 12 quality indicators used to monitor the quality of care in Australian LTCS and to identify LTCS characteristics associated with attaining the estimated ABC.

methodsA cross-sectional study was conducted using integrated population-based datasets from long-term care, health care, and social welfare sectors within the Registry of Senior Australians (ROSA) National Historical Cohort. All LTCS residents in 2019 were included. Twelve risk-adjusted quality indicators were examined. ABC were defined as the performance level of top-ranked LTCS, including those sequentially from rank 1 onward, until the combined number of residents included at least 10% of all residents nationally. Indicator-specific ABC for 2019 were estimated using Bayesian-adjusted performance fraction ranking. Logistic regressions estimated LTCS characteristics associated with ABC attainment.

results2746 LTCS and 244 419 residents (≥65 years) between 1 January 2019 and 31 December 2019 were included. The cohort was mostly female (65%), with a median age of 86 years, and 56% had dementia. The ABC provide performance targets based on the observed levels of top-performing LTCS. The ABC for premature mortality (0.007%), weight loss hospitalizations (0.1%), pressure injuries (0.2%), delirium and dementia hospitalizations (0.2%), and medication-related adverse events (0.4%) were lower than 1% and attained by 17-59% of LTCS. The ABC for fractures (1.3%), falls (3.9%), and emergency department presentations (5.1%) were between 1 and 5% and attained by 7-11% of LTCS. The ABC for antipsychotic use (10.5%), chronic opioid use (12.6%), high sedative load exposure (26.8%), and antibiotic use (47.8%) were between 10 and 50% and met by 6-7% of LTCS. Smaller LTCS and government-owned LTCS were more likely to achieve the ABC compared to medium, larger, private, and not-for-profit LTCS.

conclusionThis is the first national estimation of ABC for Australian LTCS, identifying real-world examples of LTCS with relatively better national performance. The ABC are realistic goals for LTCS improvement efforts. They can be leveraged as national standards in quality monitoring reports and incentive programs. Smaller and government LTCS were generally more likely to attain ABC.

Indexed as

BenchmarkingLong-Term CareQuality Indicators, Health CareAgedAged, 80 and overAustraliaCross-Sectional StudiesFemaleHomes for the AgedHumansMaleQuality of Health Careadverse eventsemergency departmentnursing homesperformance measurementquality improvementresidential aged care

Identifiers

PMID39562325
PMCPMC11633664

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.