Evidence map›Paper›PMID 25138806›Full record

ArticleBMJ open2014

Multimorbidity in a marginalised, street-health Australian population: a retrospective cohort study.

Tom Brett, Diane E Arnold-Reed, Lakkhina Troeung, Max K Bulsara, Annalisse Williams, Robert G Moorhead

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Multimorbidity among People Experiencing Homelessness-Insights from Primary Care Data.International journal of environmental research and public health · 2021
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  13. Homeless mortality data from East London.London journal of primary care · 2018
    Article
  14. Observational
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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 at 3 institutions in 1 country.

Tom BrettGeneral Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia, Australia.
Diane E Arnold-ReedGeneral Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia, Australia Centre for Health Services Research, School of Population Health, University of Western Australia, Crawley, Western Australia, Australia.
Lakkhina TroeungGeneral Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia, Australia.
Max K BulsaraInstitute for Health Research, The University of Notre Dame, Fremantle, Western Australia, Australia.
Annalisse WilliamsIllawarra Shoalhaven Local Health District, Woolongong, New South Wales, Australia.
Robert G MoorheadSchool of Medicine, The University of Notre Dame Australia, Fremantle, Western Australia, Australia.
The University of Notre Dame Australia · AUIllawarra Shoalhaven Local Health District · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDemographic and presentation profile of patients using an innovative mobile outreach clinic compared with mainstream practice.

designRetrospective cohort study.

settingPrimary care mobile street health clinic and mainstream practice in Western Australia.

participants2587 street health and 4583 mainstream patients.

main outcome measuresPrevalence and patterns of chronic diseases in anatomical domains across the entire age spectrum of patients and disease severity burden using Cumulative Illness Rating Scale (CIRS).

resultsMultimorbidity (2+ CIRS domains) prevalence was significantly higher in the street health cohort (46.3%, 1199/2587) than age-sex-adjusted mainstream estimate (43.1%, 2000/4583), p=0.011. Multimorbidity prevalence was significantly higher in street health patients <45 years (37.7%, 615/1649) compared with age-sex-adjusted mainstream patients (33%, 977/2961), p=0.003 but significantly lower if 65+ years (62%, 114/184 vs 90.7%, 322/355, p<0.001). Controlling for age and gender, the mean CIRS Severity Index score for street health (M=1.4, SD=0.91) was significantly higher than for mainstream patients (M=1.1, SD=0.80), p<0.001. Furthermore, 44.2% (530/1199) of street health patients had at least one level 3 or 4 score across domains compared with 18.3% (420/2294) for mainstream patients, p<0.001. Street health population comprised 29.6% (766/2587) Aboriginal patients with 50.4% (386/766) having multimorbidity compared with 44.6% (813/1821) for non-Aboriginals, p=0.007. There were no comprehensive data on Indigenous status in the mainstream cohort available for comparison. Musculoskeletal, respiratory and psychiatric domains were most commonly affected with multimorbidity significantly associated with male gender, increasing age and Indigenous status.

conclusionsAge-sex-adjusted multimorbidity prevalence and disease severity is higher in the street health cohort. Earlier onset (23-34 years) multimorbidity is found in the street health cohort but prevalence is lower in 65+ years than in mainstream patients. Multimorbidity prevalence is higher for Aboriginal patients of all ages.

Indexed as

ComorbidityPrimary Health CareAdolescentAdultAgedAge DistributionAge of OnsetAmbulatory Care FacilitiesChildChild, PreschoolChronic DiseaseCohort StudiesFemaleHumansIll-Housed PersonsInfantchronic diseasemultimorbidityPRIMARY CARE

Identifiers

PMID25138806
PMCPMC4139644
OpenAlexW2116254733

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.