Evidence map›Paper›PMID 42226143›Full record

ArticleBMC infectious diseases2026

Trends in microbiology testing in Australian long-term care facilities: national cohort study.

Yohanes A Wondimkun, Maria C Inacio, Peter Lekkas, Catherine Lang, Noleen Bennett, Leon J Worth, Karin Thursky, Malcolm Clark, Rodney James, Janet K Sluggett

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yohanes A WondimkunSchool of Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia. yohanes.wondimkun@adelaide.edu.au.
Maria C InacioRegistry of Senior Australians Research Centre, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Peter LekkasUniversity of South Australia, UniSA Allied Health and Human Performance, Adelaide, South Australia, Australia.
Catherine LangRegistry of Senior Australians Research Centre, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Noleen BennettVictorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, Melbourne, VIC, Australia.
Leon J WorthVictorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, Melbourne, VIC, Australia.
Karin ThurskyDepartment of Infectious Diseases, National Centre for Antimicrobial Stewardship, The University of Melbourne, Parkville, VIC, Australia.
Malcolm ClarkDepartment of General Practice, University of Melbourne, Parkville, VIC, Australia.
Rodney JamesThe Royal Melbourne Hospital Guidance Group, Melbourne Health, Melbourne, VIC, Australia.
Janet K SluggettSchool of Allied Health and Human Performance, College of Health, Adelaide University, Adelaide, South Australia, Australia.

Funding

National Health and Medical Research Council (NHMRC) Investigator Grants GNT119378National Health and Medical Research Council (NHMRC) Investigator Grants GNT2016277
6 · The paper itself

Abstract

backgroundMicrobiology testing can guide infectious disease management and antimicrobial selection, including for older people living in long-term care facilities (LTCFs), who are at high risk of infectious diseases. However, insufficient and excessive microbiology testing can contribute to inappropriate antimicrobial use. The study examined national trends, co-testing, and LTCF variation in microbiology testing.

methodsThis national repeated cross-sectional study included individuals aged 65-105 years residing in Australian LTCFs between 2009 and 2019. The annual age and sex standardised (i) proportion of individuals with a microbiology test and (ii) number of tests performed/100 resident-years were determined. Annual changes were estimated using adjusted rate ratios (aRRs) with 95% confidence intervals (CIs) from Poisson or negative binomial models. Co-testing and LTCF variation in 2019 were also evaluated.

resultsAmong the 547,067 studied residents, the median age at study entry was 84 years and 65.8% were women. Proportion of microbiology testing increased from 50.2% (95%CI 49.8-50.5) in 2009 to 59.4% (95%CI 59.0-59.7) in 2019 (aRR 1.02, 95%CI 1.01-1.02). Urine tests were the most frequently requested microbiology test, increasing from 40.9% (95%CI 40.5-41.2) to 44.9% (95%CI 44.5-45.2) during 2009-2019 (aRR 1.01, 95%CI 1.01-1.01). Nucleic acid amplification tests (NAATs) increased from 3.4% (95%CI 3.3-3.5) to 17.9% (95%CI 17.7-18.1) (aRR 1.21, 95%CI 1.21-1.21). In 2019, there were 1,614 (58.6%) LTCFs where the adjusted proportion of microbiology testing fell within the 95%CI range around the population mean. Faecal, Cryptosporidium/Giardia, and Clostridioides difficile/C.toxin tests were commonly performed concurrently with NAATs.

conclusionsOver an 11-year period, microbiology testing increased. Eight out of ten residents were tested at least once during their LTCF stay, and considerable facility variation in testing was observed. Diagnostic stewardship targeting commonly requested microbiology tests (e.g., urine tests) could optimise antimicrobial use in LTCFs.

Indexed as

Long-Term CareMicrobiological TechniquesAgedAged, 80 and overAustraliaCohort StudiesCross-Sectional StudiesFemaleHumansMaleNursing Home ResidentsAntimicrobial stewardshipAustraliaCare homesDiagnostic stewardshipInfectious diseaseLong-term care facilitiesMicrobiology testingNursing homesOlder people

Identifiers

PMID42226143
PMCPMC13412369

What Socratic 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 Socratic graph.