Evidence map›Paper›PMID 38199624›Full record

ArticleBMJ open2024

Impact of multimorbidity and complex multimorbidity on healthcare utilisation in older Australian adults aged 45 years or more: a large population-based cross-sectional data linkage study.

Alamgir Kabir, Damian P Conway, Sameera Ansari, An Tran, Joel J Rhee, Margo Barr

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Redefining success: Incorporating long-term survival outcomes into routine benchmarking.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
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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

6 authors.

Alamgir KabirCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia akabir@georgeinstitute.org.au.ORCID 0000-0002-3762-8307
Damian P ConwayPopulation and Community Health, South Eastern Sydney Local Health District, Sydney, New South Wales, Australia.ORCID 0000-0003-3316-2199
Sameera AnsariSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0003-3192-7936
An TranCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia.
Joel J RheeSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-5233-2758
Margo BarrCentre for Primary Health Care and Equity, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-3007-0216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs life expectancy increases, older people are living longer with multimorbidity (MM, co-occurrence of ≥2 chronic health conditions) and complex multimorbidity (CMM, ≥3 chronic conditions affecting ≥3 different body systems). We assessed the impacts of MM and CMM on healthcare service use in Australia, as little was known about this.

designPopulation-based cross-sectional data linkage study.

settingNew South Wales, Australia.

participants248 496 people aged ≥45 years who completed the Sax Institute's 45 and Up Study baseline questionnaire. PRIMARY OUTCOME: High average annual healthcare service use (≥2 hospital admissions, ≥11 general practice visits and ≥2 emergency department (ED) visits) during the 3-year baseline period (year before, year of and year after recruitment).

methodsBaseline questionnaire data were linked with hospital, Medicare claims and ED datasets. Poisson regression models were used to estimate adjusted and unadjusted prevalence ratios for high service use with 95% CIs. Using a count of chronic conditions (disease count) as an alternative morbidity metric was requested during peer review.

resultsPrevalence of MM and CMM was 43.8% and 15.5%, respectively, and prevalence increased with age. Across three healthcare settings, MM was associated with a 2.02-fold to 2.26-fold, and CMM was associated with a 1.83-fold to 2.08-fold, increased risk of high service use. The association was higher in the youngest group (45-59 years) versus the oldest group (≥75 years), which was confirmed when disease count was used as the morbidity metric in sensitivity analysis.When comparing impact using three categories with no overlap (no MM/CMM, MM with no CMM, and CMM), CMM had greater impact than MM across all settings.

conclusionIncreased healthcare service use among older adults with MM and CMM impacts on the demand for primary care and hospital services. Which of MM or CMM has greater impact on risk of high healthcare service use depends on the analytic method used. Ageing populations living longer with increasing burdens of MM and CMM will require increased Medicare funding and provision of integrated care across the healthcare system to meet their complex needs.

Indexed as

MultimorbidityNational Health ProgramsAgedAustraliaChronic DiseaseCross-Sectional StudiesDelivery of Health CareHumansPatient Acceptance of Health CareAgingChronic DiseaseEPIDEMIOLOGYGERIATRIC MEDICINEPrimary CarePUBLIC HEALTH

Identifiers

PMID38199624
PMCPMC10806611

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LicenceCC BY-NC
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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.