Evidence map›Paper›PMID 28988178›Full record

ArticleBMJ open2017

Effect of socio-demographic factors on the association between multimorbidity and healthcare costs: a population-based, retrospective cohort study.

Kednapa Thavorn, Colleen J Maxwell, Andrea Gruneir, Susan E Bronskill, YuQing Bai, Anna J Koné Pefoyo, Yelena Petrosyan, Walter P Wodchis

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 125 citations in OpenAlex.

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  15. Association between opioid use disorder and palliative care: a cohort study using linked health administrative data in Ontario, Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
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  19. Identifying factors associated with high use of acute care in Canada: a population-based retrospective study.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
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5 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 1 country.

Kednapa ThavornOttawa Hospital Research Institute, The Ottawa Hospital, Ottawa, Canada.
Colleen J MaxwellInstitute for Clinical Evaluative Sciences, Toronto, Canada.
Andrea GruneirInstitute for Clinical Evaluative Sciences, Toronto, Canada.
Susan E BronskillInstitute for Clinical Evaluative Sciences, Toronto, Canada.
YuQing BaiInstitute for Clinical Evaluative Sciences, Toronto, Canada.
Anna J Koné PefoyoDepartment of Health Sciences, Lakehead University, Thunder Bay, Canada.
Yelena PetrosyanOttawa Hospital Research Institute, The Ottawa Hospital, Ottawa, Canada.
Walter P WodchisInstitute for Clinical Evaluative Sciences, Toronto, Canada.ORCID http://orcid.org/0000-0003-4738-8447
University of Toronto · CAInstitute for Clinical Evaluative Sciences · CAUniversity of Alberta · CAUniversity of Ottawa · CAUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the attributable costs of multimorbidity and assess whether the association between the level of multimorbidity and health system costs varies by socio-demographic factors in young (<65 years) and older (≥65 years) adults living in Ontario, Canada.

designA population-based, retrospective cohort study

settingThe province of Ontario, Canada

participants6 639 089 Ontarians who were diagnosed with at least one of 16 selected medical conditions on 1 April 2009.

main outcome measuresFrom the perspective of the publicly funded healthcare system, total annual healthcare costs were derived from linked provincial health administrative databases using a person-level costing method. We used generalised linear models to examine the association between the level of multimorbidity and healthcare costs and the extent to which socio-demographic variables modified this association.

resultsAttributable total costs of multimorbidity ranged from C$377 to C$2073 for young individuals and C$1026 to C$3831 for older adults. The association between the degree of multimorbidity and healthcare costs was significantly modified by age (p<0.001), sex (p<0.001) and neighbourhood income (p<0.001) in both age groups, and the positive association between healthcare costs and levels of multimorbidity was statistically stronger for older than younger adults. For individuals aged 65 years or younger, the increase in healthcare costs was more gradual in women than in their male counterparts, however, for those aged 65 years or older, the increase in healthcare costs was significantly greater among women than men. Lastly, we also observed that the positive association between the level of multimorbidity and healthcare costs was significantly greater at higher levels of marginalisation.

conclusionSocio-demographic factors are important effect modifiers of the relationship between multimorbidity and healthcare costs and should therefore be considered in any discussion of the implementation of healthcare policies and the organisation of healthcare services aimed at controlling healthcare costs associated with multimorbidity.

Indexed as

Health Care CostsMultimorbidityAdultAgedAged, 80 and overAge FactorsChronic DiseaseComorbidityFemaleHumansMaleMiddle AgedOntarioPrevalenceRetrospective StudiesSex Factorshealth system costsmultimorbiditypopulation-based studypublicly funded healthcare systemsocio-demographic factors

Identifiers

PMID28988178
PMCPMC5640069
OpenAlexW2763374939

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.